166 results (0,22615 seconds)

Show all filters

Brand

Merchant

Price (EUR)

Reset filter

Products
From
Shops

Operating System Design The Xinu Approach Second Edition

Operating System Design The Xinu Approach Second Edition

An Update of the Most Practical A-to-Z Operating System BookWidely lauded for avoiding the typical black box approach found in other operating system textbooks the first edition of this bestselling book taught readers how an operating system works and explained how to build it from the ground up. Continuing to follow a logical pattern for system design Operating System Design: The Xinu Approach Second Edition removes the mystery from operating system design and consolidates the body of material into a systematic discipline. It presents a hierarchical design paradigm that organizes major operating system components in an orderly understandable manner. The book guides readers through the construction of a conventional process-based operating system using practical straightforward primitives. It gives the implementation details of one set of primitives usually the most popular set. Once readers understand how primitives can be implemented on conventional hardware they can then easily implement alternative versions. The text begins with a bare machine and proceeds step-by-step through the design and implementation of Xinu which is a small elegant operating system that supports dynamic process creation dynamic memory allocation network communication local and remote file systems a shell and device-independent I/O functions. The Xinu code runs on many hardware platforms. This second edition has been completely rewritten to contrast operating systems for RISC and CISC processors. Encouraging hands-on experimentation the book provides updated code throughout and examples for two low-cost experimenter boards: BeagleBone Black from ARM and Galileo from Intel. | Operating System Design The Xinu Approach Second Edition

GBP 39.99
1

Distributed Systems An Algorithmic Approach Second Edition

Distributed Systems An Algorithmic Approach Second Edition

Distributed Systems: An Algorithmic Approach Second Edition provides a balanced and straightforward treatment of the underlying theory and practical applications of distributed computing. As in the previous version the language is kept as unobscured as possible—clarity is given priority over mathematical formalism. This easily digestible text:Features significant updates that mirror the phenomenal growth of distributed systemsExplores new topics related to peer-to-peer and social networksIncludes fresh exercises examples and case studiesSupplying a solid understanding of the key principles of distributed computing and their relationship to real-world applications Distributed Systems: An Algorithmic Approach Second Edition makes both an ideal textbook and a handy professional reference. | Distributed Systems An Algorithmic Approach Second Edition

GBP 38.99
1

Stochastic Processes An Introduction Third Edition

Stochastic Processes An Introduction Third Edition

Based on a well-established and popular course taught by the authors over many years Stochastic Processes: An Introduction Third Edition discusses the modelling and analysis of random experiments where processes evolve over time. The text begins with a review of relevant fundamental probability. It then covers gambling problems random walks and Markov chains. The authors go on to discuss random processes continuous in time including Poisson birth and death processes and general population models and present an extended discussion on the analysis of associated stationary processes in queues. The book also explores reliability and other random processes such as branching martingales and simple epidemics. A new chapter describing Brownian motion where the outcomes are continuously observed over continuous time is included. Further applications worked examples and problems and biographical details have been added to this edition. Much of the text has been reworked. The appendix contains key results in probability for reference. This concise updated book makes the material accessible highlighting simple applications and examples. A solutions manual with fully worked answers of all end-of-chapter problems and Mathematica® and R programs illustrating many processes discussed in the book can be downloaded from crcpress. com. | Stochastic Processes An Introduction Third Edition

GBP 46.99
1

Difference Equations Theory Applications and Advanced Topics Third Edition

Difference Equations Theory Applications and Advanced Topics Third Edition

Difference Equations: Theory Applications and Advanced Topics Third Edition provides a broad introduction to the mathematics of difference equations and some of their applications. Many worked examples illustrate how to calculate both exact and approximate solutions to special classes of difference equations. Along with adding several advanced topics this edition continues to cover general linear first- second- and n-th order difference equations; nonlinear equations that may be reduced to linear equations; and partial difference equations. New to the Third Edition New chapter on special topics including discrete Cauchy–Euler equations; gamma beta and digamma functions; Lambert W-function; Euler polynomials; functional equations; and exact discretizations of differential equations New chapter on the application of difference equations to complex problems arising in the mathematical modeling of phenomena in engineering and the natural and social sciences Additional problems in all chapters Expanded bibliography to include recently published texts related to the subject of difference equations Suitable for self-study or as the main text for courses on difference equations this book helps readers understand the fundamental concepts and procedures of difference equations. It uses an informal presentation style avoiding the minutia of detailed proofs and formal explanations. | Difference Equations Theory Applications and Advanced Topics Third Edition

GBP 59.99
1

Signal Processing A Mathematical Approach Second Edition

Signal Processing A Mathematical Approach Second Edition

Signal Processing: A Mathematical Approach is designed to show how many of the mathematical tools the reader knows can be used to understand and employ signal processing techniques in an applied environment. Assuming an advanced undergraduate- or graduate-level understanding of mathematics—including familiarity with Fourier series matrices probability and statistics—this Second Edition: Contains new chapters on convolution and the vector DFT plane-wave propagation and the BLUE and Kalman filtersExpands the material on Fourier analysis to three new chapters to provide additional background informationPresents real-world examples of applications that demonstrate how mathematics is used in remote sensingFeaturing problems for use in the classroom or practice Signal Processing: A Mathematical Approach Second Edition covers topics such as Fourier series and transforms in one and several variables; applications to acoustic and electro-magnetic propagation models transmission and emission tomography and image reconstruction; sampling and the limited data problem; matrix methods singular value decomposition and data compression; optimization techniques in signal and image reconstruction from projections; autocorrelations and power spectra; high-resolution methods; detection and optimal filtering; and eigenvector-based methods for array processing and statistical filtering time-frequency analysis and wavelets. | Signal Processing A Mathematical Approach Second Edition

GBP 44.99
1

Flexible Imputation of Missing Data Second Edition

Flexible Imputation of Missing Data Second Edition

Missing data pose challenges to real-life data analysis. Simple ad-hoc fixes like deletion or mean imputation only work under highly restrictive conditions which are often not met in practice. Multiple imputation replaces each missing value by multiple plausible values. The variability between these replacements reflects our ignorance of the true (but missing) value. Each of the completed data set is then analyzed by standard methods and the results are pooled to obtain unbiased estimates with correct confidence intervals. Multiple imputation is a general approach that also inspires novel solutions to old problems by reformulating the task at hand as a missing-data problem. This is the second edition of a popular book on multiple imputation focused on explaining the application of methods through detailed worked examples using the MICE package as developed by the author. This new edition incorporates the recent developments in this fast-moving field. This class-tested book avoids mathematical and technical details as much as possible: formulas are accompanied by verbal statements that explain the formula in accessible terms. The book sharpens the reader’s intuition on how to think about missing data and provides all the tools needed to execute a well-grounded quantitative analysis in the presence of missing data. | Flexible Imputation of Missing Data Second Edition

GBP 38.99
1

Stochastic Modelling for Systems Biology Third Edition

Stochastic Modelling for Systems Biology Third Edition

Since the first edition of Stochastic Modelling for Systems Biology there have been many interesting developments in the use of likelihood-free methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems and the statistical inference chapter has also been extended with new methods including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology Third Edition is now supplemented by an additional software library written in Scala described in a new appendix to the book. New in the Third EditionNew chapter on spatially extended systems covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d along with fast approximations based on the spatial chemical Langevin equationSignificantly expanded chapter on inference for stochastic kinetic models from data covering ABC including ABC-SMCUpdated R package including code relating to all of the new materialNew R package for parsing SBML models into simulatable stochastic Petri net modelsNew open-source software library written in Scala replicating most of the functionality of the R packages in a fast compiled strongly typed functional languageKeeping with the spirit of earlier editions all of the new theory is presented in a very informal and intuitive manner keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

GBP 46.99
1

Linux The Textbook Second Edition

Linux The Textbook Second Edition

Choosen by BookAuthority as one of BookAuthority's Best Linux Mint Books of All TimeLinux: The Textbook Second Edition provides comprehensive coverage of the contemporary use of the Linux operating system for every level of student or practitioner from beginners to advanced users. The text clearly illustrates system-specific commands and features using Debian-family Debian Ubuntu and Linux Mint and RHEL-family CentOS and stresses universal commands and features that are critical to all Linux distributions. The second edition of the book includes extensive updates and new chapters on system administration for desktop stand-alone PCs and server-class computers; API for system programming including thread programming with pthreads; virtualization methodologies; and an extensive tutorial on systemd service management. Brand new online content on the CRC Press website includes an instructor’s workbook test bank and In-Chapter exercise solutions as well as full downloadable chapters on Python Version 3. 5 programming ZFS TC shell programming advanced system programming and more. An author-hosted GitHub website also features updates further references and errata. Features New or updated coverage of file system sorting regular expressions directory and file searching file compression and encryption shell scripting system programming client-server–based network programming thread programming with pthreads and system administration Extensive in-text pedagogy including chapter objectives student projects and basic and advanced student exercises for every chapter Expansive electronic downloads offer advanced content on Python ZFS TC shell scripting advanced system programming internetworking with Linux TCP/IP and many more topics all featured on the CRC Press website Downloadable test bank work book and solutions available for instructors on the CRC Press website Author-maintained GitHub repository provides other resources such as live links to further references updates and errata | Linux The Textbook Second Edition

GBP 38.99
1

Data Mining with R Learning with Case Studies Second Edition

Data Mining with R Learning with Case Studies Second Edition

Data Mining with R: Learning with Case Studies Second Edition uses practical examples to illustrate the power of R and data mining. Providing an extensive update to the best-selling first edition this new edition is divided into two parts. The first part will feature introductory material including a new chapter that provides an introduction to data mining to complement the already existing introduction to R. The second part includes case studies and the new edition strongly revises the R code of the case studies making it more up-to-date with recent packages that have emerged in R. The book does not assume any prior knowledge about R. Readers who are new to R and data mining should be able to follow the case studies and they are designed to be self-contained so the reader can start anywhere in the document. The book is accompanied by a set of freely available R source files that can be obtained at the book’s web site. These files include all the code used in the case studies and they facilitate the do-it-yourself approach followed in the book. Designed for users of data analysis tools as well as researchers and developers the book should be useful for anyone interested in entering the world of R and data mining. About the AuthorLuís Torgo is an associate professor in the Department of Computer Science at the University of Porto in Portugal. He teaches Data Mining in R in the NYU Stern School of Business’ MS in Business Analytics program. An active researcher in machine learning and data mining for more than 20 years Dr. Torgo is also a researcher in the Laboratory of Artificial Intelligence and Data Analysis (LIAAD) of INESC Porto LA. | Data Mining with R Learning with Case Studies Second Edition

GBP 44.99
1

Statistical Computing with R Second Edition

Statistical Computing with R Second Edition

Praise for the First Edition: . the book serves as an excellent tutorial on the R language providing examples that illustrate programming concepts in the context of practical computational problems. The book will be of great interest for all specialists working on computational statistics and Monte Carlo methods for modeling and simulation. – Tzvetan Semerdjiev Zentralblatt Math Computational statistics and statistical computing are two areas within statistics that may be broadly described as computational graphical and numerical approaches to solving statistical problems. Like its bestselling predecessor Statistical Computing with R Second Edition covers the traditional core material of these areas with an emphasis on using the R language via an examples-based approach. The new edition is up-to-date with the many advances that have been made in recent years. Features Provides an overview of computational statistics and an introduction to the R computing environment. Focuses on implementation rather than theory. Explores key topics in statistical computing including Monte Carlo methods in inference bootstrap and jackknife permutation tests Markov chain Monte Carlo (MCMC) methods and density estimation. Includes new sections exercises and applications as well as new chapters on resampling methods and programming topics. Includes coverage of recent advances including R Studio the tidyverse knitr and ggplot2 Accompanied by online supplements available on GitHub including R code for all the exercises as well as tutorials and extended examples on selected topics. Suitable for an introductory course in computational statistics or for self-study Statistical Computing with R Second Edition provides a balanced accessible introduction to computational statistics and statistical computing. About the Author Maria Rizzo is Professor in the Department of Mathematics and Statistics at Bowling Green State University in Bowling Green Ohio where she teaches statistics actuarial science computational statistics statistical programming and data science. Prior to joining the faculty at BGSU in 2006 she was Assistant Professor in the Department of Mathematics at Ohio University in Athens Ohio. Her main research area is energy statistics and distance correlation. She is the software developer and maintainer of the energy package for R. She also enjoys writing books including a forthcoming joint research monograph on energy statistics.

GBP 66.99
1

Bayesian Disease Mapping Hierarchical Modeling in Spatial Epidemiology Third Edition

Bayesian Disease Mapping Hierarchical Modeling in Spatial Epidemiology Third Edition

Since the publication of the second edition many new Bayesian tools and methods have been developed for space-time data analysis the predictive modeling of health outcomes and other spatial biostatistical areas. Exploring these new developments Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology Third Edition provides an up-to-date cohesive account of the full range of Bayesian disease mapping methods and applications. In addition to the new material the book also covers more conventional areas such as relative risk estimation clustering spatial survival analysis and longitudinal analysis. After an introduction to Bayesian inference computation and model assessment the text focuses on important themes including disease map reconstruction cluster detection regression and ecological analysis putative hazard modeling analysis of multiple scales and multiple diseases spatial survival and longitudinal studies spatiotemporal methods and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data. The target audience for this text is public health specialists epidemiologists and biostatisticians who need to work with geo-referenced health data. | Bayesian Disease Mapping Hierarchical Modeling in Spatial Epidemiology Third Edition

GBP 46.99
1

Probability Methods for Cost Uncertainty Analysis A Systems Engineering Perspective Second Edition

Probability Methods for Cost Uncertainty Analysis A Systems Engineering Perspective Second Edition

Probability Methods for Cost Uncertainty Analysis: A Systems Engineering Perspective Second Edition gives you a thorough grounding in the analytical methods needed for modeling and measuring uncertainty in the cost of engineering systems. This includes the treatment of correlation between the cost of system elements how to present the analysis to decision-makers and the use of bivariate probability distributions to capture joint interactions between a system’s cost and schedule. Analytical techniques from probability theory are stressed along with the Monte Carlo simulation method. Numerous examples and case discussions illustrate the practical application of theoretical concepts. While the original chapters from the first edition remain unchanged this second edition contains new material focusing on the application of theory to problems encountered in practice. Highlights include the use of GERM to build development and production cost estimating relationships as well as the eSBM which was developed from a need in the community to offer simplified analytical alternatives to advanced probability-based approaches. The book also lists the major technical works of the late Dr. Stephen A. Book a mathematician and world-renowned cost analyst whose contributions advanced the theory and practice of cost risk analysis. | Probability Methods for Cost Uncertainty Analysis A Systems Engineering Perspective Second Edition

GBP 44.99
1

Computational Aspects of Polynomial Identities Volume l Kemer's Theorems 2nd Edition

Computational Aspects of Polynomial Identities Volume l Kemer's Theorems 2nd Edition

Computational Aspects of Polynomial Identities: Volume l Kemer’s Theorems 2nd Edition presents the underlying ideas in recent polynomial identity (PI)-theory and demonstrates the validity of the proofs of PI-theorems. This edition gives all the details involved in Kemer’s proof of Specht’s conjecture for affine PI-algebras in characteristic 0. The book first discusses the theory needed for Kemer’s proof including the featured role of Grassmann algebra and the translation to superalgebras. The authors develop Kemer polynomials for arbitrary varieties as tools for proving diverse theorems. They also lay the groundwork for analogous theorems that have recently been proved for Lie algebras and alternative algebras. They then describe counterexamples to Specht’s conjecture in characteristic p as well as the underlying theory. The book also covers Noetherian PI-algebras Poincaré–Hilbert series Gelfand–Kirillov dimension the combinatoric theory of affine PI-algebras and homogeneous identities in terms of the representation theory of the general linear group GL. Through the theory of Kemer polynomials this edition shows that the techniques of finite dimensional algebras are available for all affine PI-algebras. It also emphasizes the Grassmann algebra as a recurring theme including in Rosset’s proof of the Amitsur–Levitzki theorem a simple example of a finitely based T-ideal the link between algebras and superalgebras and a test algebra for counterexamples in characteristic p. | Computational Aspects of Polynomial Identities Volume l Kemer's Theorems 2nd Edition

GBP 59.99
1

Financial and Actuarial Statistics An Introduction Second Edition

Financial and Actuarial Statistics An Introduction Second Edition

Understand Up-to-Date Statistical Techniques for Financial and Actuarial ApplicationsSince the first edition was published statistical techniques such as reliability measurement simulation regression and Markov chain modeling have become more prominent in the financial and actuarial industries. Consequently practitioners and students must acquire strong mathematical and statistical backgrounds in order to have successful careers. Financial and Actuarial Statistics: An Introduction Second Edition enables readers to obtain the necessary mathematical and statistical background. It also advances the application and theory of statistics in modern financial and actuarial modeling. Like its predecessor this second edition considers financial and actuarial modeling from a statistical point of view while adding a substantial amount of new material. New to the Second EditionNomenclature and notations standard to the actuarial fieldExcel exercises with solutions which demonstrate how to use Excel functions for statistical and actuarial computationsProblems dealing with standard probability and statistics theory along with detailed equation links A chapter on Markov chains and actuarial applications Expanded discussions of simulation techniques and applications such as investment pricing Sections on the maximum likelihood approach to parameter estimation as well as asymptotic applications Discussions of diagnostic procedures for nonnegative random variables and Pareto lognormal Weibull and left truncated distributionsExpanded material on surplus models and ruin computations Discussions of nonparametric prediction intervals option pricing diagnostics variance of the loss function associated with standard actuarial models and Gompertz and Makeham distributions Sections on the concept of actuarial statistics for a collection of stochastic status modelsThe book presents a unified approach to both financial and actuarial modeling through the use of general status structures. The authors define future time-dependent financial actions in terms of a status structure that may be either deterministic or stochastic. They show how deterministic status structures lead to classical interest and annuity models investment pricing models and aggregate claim models. They also employ stochastic status structures to develop financial and actuarial models such as surplus models life insurance and life annuity models. | Financial and Actuarial Statistics An Introduction Second Edition

GBP 44.99
1

The Geometry of Musical Rhythm What Makes a Good Rhythm Good? Second Edition

The Geometry of Musical Rhythm What Makes a Good Rhythm Good? Second Edition

The original edition of The Geometry of Musical Rhythm was the first book to provide a systematic and accessible computational geometric analysis of the musical rhythms of the world. It explained how the study of the mathematical properties of musical rhythm generates common mathematical problems that arise in a variety of seemingly disparate fields. The book also introduced the distance approach to phylogenetic analysis and illustrated its application to the study of musical rhythm. The new edition retains all of this while also adding 100 pages 93 figures 225 new references and six new chapters covering topics such as meter and metric complexity rhythmic grouping expressive timbre and timing in rhythmic performance and evolution phylogenetic analysis of ancient Greek paeonic rhythms. In addition further context is provided to give the reader a fuller and richer insight into the historical connections between music and mathematics. | The Geometry of Musical Rhythm What Makes a Good Rhythm Good? Second Edition

GBP 48.99
1

Time Series Modeling Computation and Inference Second Edition

Time Series Modeling Computation and Inference Second Edition

Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference Time Series: Modeling Computation and Inference Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and applications of time series analysis. It encompasses a graduate-level account of Bayesian time series modeling analysis and forecasting a broad range of references to state-of-the-art approaches to univariate and multivariate time series analysis and contacts research frontiers in multivariate time series modeling and forecasting. It presents overviews of several classes of models and related methodology for inference statistical computation for model fitting and assessment and forecasting. It explores the connections between time- and frequency-domain approaches and develop various models and analyses using Bayesian formulations and computation including use of computations based on Markov chain Monte Carlo (MCMC) and sequential Monte Carlo (SMC) methods. It illustrates the models and methods with examples and case studies from a variety of fields including signal processing biomedicine environmental science and finance. Along with core models and methods the book represents state-of-the art approaches to analysis and forecasting in challenging time series problems. It also demonstrates the growth of time series analysis into new application areas in recent years and contacts recent and relevant modeling developments and research challenges. New in the second edition: Expanded on aspects of core model theory and methodology. Multiple new examples and exercises. Detailed development of dynamic factor models. Updated discussion and connections with recent and current research frontiers. | Time Series Modeling Computation and Inference Second Edition

GBP 44.99
1

Robust Statistical Methods with R Second Edition

Robust Statistical Methods with R Second Edition

The second edition of Robust Statistical Methods with R provides a systematic treatment of robust procedures with an emphasis on new developments and on the computational aspects. There are many numerical examples and notes on the R environment and the updated chapter on the multivariate model contains additional material on visualization of multivariate data in R. A new chapter on robust procedures in measurement error models concentrates mainly on the rank procedures less sensitive to errors than other procedures. This book will be an invaluable resource for researchers and postgraduate students in statistics and mathematics. Features• Provides a systematic practical treatment of robust statistical methods• Offers a rigorous treatment of the whole range of robust methods including the sequential versions of estimators their moment convergence and compares their asymptotic and finite-sample behavior• The extended account of multivariate models includes the admissibility shrinkage effects and unbiasedness of two-sample tests• Illustrates the small sensitivity of the rank procedures in the measurement error model• Emphasizes the computational aspects supplies many examples and illustrations and provides the own procedures of the authors in the R software on the book’s website | Robust Statistical Methods with R Second Edition

GBP 39.99
1

How Things Work The Computer Science Edition

How Things Work The Computer Science Edition

It’s axiomatic to state that people fear what they do not understand and this is especially true when it comes to technology. However despite their prevalence computers remain shrouded in mystery and many users feel apprehensive when interacting with them. Smartphones have only exacerbated the issue. Indeed most users of these devices leverage only a small fraction of the power they hold in their hands. How Things Work: The Computer Science Edition is a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. Beginning with the basics the book demystifies the mysterious world of computer science explains its fundamental concepts in simple terms and answers the questions many users feel too intimidated to ask. By the end of the book readers will understand how computers and smart devices function and more important how they can make these devices work for them. To complete the picture the book also introduces readers to the darker side of modern technology: security and privacy concerns identity theft and threats from the Dark Web. | How Things Work The Computer Science Edition

GBP 48.99
1

Introduction to Probability Second Edition

Introduction to Probability Second Edition

Developed from celebrated Harvard statistics lectures Introduction to Probability provides essential language and tools for understanding statistics randomness and uncertainty. The book explores a wide variety of applications and examples ranging from coincidences and paradoxes to Google PageRank and Markov chain Monte Carlo (MCMC). Additional application areas explored include genetics medicine computer science and information theory. The authors present the material in an accessible style and motivate concepts using real-world examples. Throughout they use stories to uncover connections between the fundamental distributions in statistics and conditioning to reduce complicated problems to manageable pieces. The book includes many intuitive explanations diagrams and practice problems. Each chapter ends with a section showing how to perform relevant simulations and calculations in R a free statistical software environment. The second edition adds many new examples exercises and explanations to deepen understanding of the ideas clarify subtle concepts and respond to feedback from many students and readers. New supplementary online resources have been developed including animations and interactive visualizations and the book has been updated to dovetail with these resources. Supplementary material is available on Joseph Blitzstein’s website www. stat110. net. The supplements include:Solutions to selected exercisesAdditional practice problemsHandouts including review material and sample exams Animations and interactive visualizations created in connection with the edX online version of Stat 110. Links to lecture videos available on ITunes U and YouTube There is also a complete instructor's solutions manual available to instructors who require the book for a course. | Introduction to Probability Second Edition

GBP 66.99
1

Statistics for Technology A Course in Applied Statistics Third Edition

Statistics for Technology A Course in Applied Statistics Third Edition

One of the most popular introductory texts in its field Statistics for Technology: A Course in Applied Studies presents the range of statistical methods commonly used in science social science and engineering. The mathematics are simple and straightforward; statistical concepts are explained carefully; and real-life (rather than contrived) examples are used throughout the chapters. Divided into three parts the Introduction describes some simple methods of summarizing data. Theory examines the basic concepts and theory of statistics. Applications covers the planning and procedures of experiments quality control and life testing. Revised throughout this Third Edition places a higher priority on the role of computers in analysis and many new references have been incorporated. A new appendix describes general methods of tackling statistical problems including guidance on literature searching and report writing. | Statistics for Technology A Course in Applied Statistics Third Edition

GBP 180.00
1

Generalized Additive Models An Introduction with R Second Edition

Generalized Additive Models An Introduction with R Second Edition

The first edition of this book has established itself as one of the leading references on generalized additive models (GAMs) and the only book on the topic to be introductory in nature with a wealth of practical examples and software implementation. It is self-contained providing the necessary background in linear models linear mixed models and generalized linear models (GLMs) before presenting a balanced treatment of the theory and applications of GAMs and related models. The author bases his approach on a framework of penalized regression splines and while firmly focused on the practical aspects of GAMs discussions include fairly full explanations of the theory underlying the methods. Use of R software helps explain the theory and illustrates the practical application of the methodology. Each chapter contains an extensive set of exercises with solutions in an appendix or in the book’s R data package gamair to enable use as a course text or for self-study. | Generalized Additive Models An Introduction with R Second Edition

GBP 74.99
1

Advanced R Second Edition

Advanced R Second Edition

Advanced R helps you understand how R works at a fundamental level. It is designed for R programmers who want to deepen their understanding of the language and programmers experienced in other languages who want to understand what makes R different and special. This book will teach you the foundations of R; three fundamental programming paradigms (functional object-oriented and metaprogramming); and powerful techniques for debugging and optimisingyour code. By reading this book you will learn: The difference between an object and its name and why the distinction is important The important vector data structures how they fit together and how you can pull them apart using subsetting The fine details of functions and environments The condition system which powers messages warnings and errors The powerful functional programming paradigm which can replace many for loops The three most important OO systems: S3 S4 and R6 The tidy eval toolkit for metaprogramming which allows you to manipulate code and control evaluation Effective debugging techniques that you can deploy regardless of how your code is run How to find and remove performance bottlenecks The second edition is a comprehensive update: New foundational chapters: Names and values Control flow and Conditions comprehensive coverage of object oriented programming with chapters on S3 S4 R6 and how to choose between them Much deeper coverage of metaprogramming including the new tidy evaluation framework use of new package like rlang (http://rlang. r-lib. org) which provides a clean interface to low-level operations and purr (http://purrr. tidyverse. org/) for functional programming Use of color in code chunks and figuresHadley Wickham is Chief Scientist at RStudio an Adjunct Professor at Stanford University and the University of Auckland and a member of the R Foundation. He is the lead developer of the tidyverse a collection of R packages including ggplot2 and dplyr designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund) R Packages and ggplot2: Elegant Graphics for Data Analysis. | Advanced R Second Edition

GBP 48.99
1

Analyzing Baseball Data with R Second Edition

Analyzing Baseball Data with R Second Edition

Analyzing Baseball Data with R Second Edition introduces R to sabermetricians baseball enthusiasts and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Much of the book illustrates the use of R through popular sabermetrics topics including the Pythagorean formula runs expectancy catcher framing career trajectories simulation of games and seasons patterns of streaky behavior of players and launch angles and exit velocities. All the datasets and R code used in the text are available online. New to the second edition are a systematic adoption of the tidyverse and incorporation of Statcast player tracking data (made available by Baseball Savant). All code from the first edition has been revised according to the principles of the tidyverse. Tidyverse packages including dplyr ggplot2 tidyr purrr and broom are emphasized throughout the book. Two entirely new chapters are made possible by the availability of Statcast data: one explores the notion of catcher framing ability and the other uses launch angle and exit velocity to estimate the probability of a home run. Through the book’s various examples you will learn about modern sabermetrics and how to conduct your own baseball analyses. Max Marchi is a Baseball Analytics Analyst for the Cleveland Indians. He was a regular contributor to The Hardball Times and Baseball Prospectus websites and previously consulted for other MLB clubs. Jim Albert is a Distinguished University Professor of statistics at Bowling Green State University. He has authored or coauthored several books including Curve Ball and Visualizing Baseball and was the editor of the Journal of Quantitative Analysis of Sports. Ben Baumer is an assistant professor of statistical & data sciences at Smith College. Previously a statistical analyst for the New York Mets he is a co-author of The Sabermetric Revolution and Modern Data Science with R.

GBP 52.99
1