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Elliptic Theory on Singular Manifolds

Elliptic Theory on Singular Manifolds

The analysis and topology of elliptic operators on manifolds with singularities are much more complicated than in the smooth case and require completely new mathematical notions and theories. While there has recently been much progress in the field many of these results have remained scattered in journals and preprints. Starting from an elementary level and finishing with the most recent results this book gives a systematic exposition of both analytical and topological aspects of elliptic theory on manifolds with singularities. The presentation includes a review of the main techniques of the theory of elliptic equations offers a comparative analysis of various approaches to differential equations on manifolds with singularities and devotes considerable attention to applications of the theory. These include Sobolev problems theorems of Atiyah-Bott-Lefschetz type and proofs of index formulas for elliptic operators and problems on manifolds with singularities including the authors' new solution to the index problem for manifolds with nonisolated singularities. A glossary numerous illustrations and many examples help readers master the subject. Clear exposition up-to-date coverage and accessibility-even at the advanced undergraduate level-lay the groundwork for continuing studies and further advances in the field. | Elliptic Theory on Singular Manifolds

GBP 59.99
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Advances on Models Characterizations and Applications

Advances on Models Characterizations and Applications

Statistical distributions are one of the most important applied mathematical tools across a wide spectrum of disciplines including engineering biological sciences and health and social sciences. Since they are used to model observed data and ultimately to develop inferential procedures understanding the properties of statistical distributions is critical to developing optimal inferential methods and validating the resulting model assumptions. Advances on Models Characterizations and Applications offers up-to-date information on many recent developments in the field. Comprising fourteen self-contained chapters contributed by internationally renowned experts this book delineates recent developments on characterizations and other important properties of several distributions inferential issues related to these models and several applications of the models to real-world problems. Each chapter is rich with references for further study or more in-depth information on each topic and reflects work presented at the International Conference on Advances on Characterizations Models and Applications held in Antalya Turkey in December 2001. Advances on Models Characterizations and Applications provides an updated account of important properties of statistical distributions that reflects their deep importance and broad application and is a welcome addition to the literature.

GBP 59.99
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Statistical Inference Based on Divergence Measures

Statistical Inference Based on Divergence Measures

The idea of using functionals of Information Theory such as entropies or divergences in statistical inference is not new. However in spite of the fact that divergence statistics have become a very good alternative to the classical likelihood ratio test and the Pearson-type statistic in discrete models many statisticians remain unaware of this powerful approach. Statistical Inference Based on Divergence Measures explores classical problems of statistical inference such as estimation and hypothesis testing on the basis of measures of entropy and divergence. The first two chapters form an overview from a statistical perspective of the most important measures of entropy and divergence and study their properties. The author then examines the statistical analysis of discrete multivariate data with emphasis is on problems in contingency tables and loglinear models using phi-divergence test statistics as well as minimum phi-divergence estimators. The final chapter looks at testing in general populations presenting the interesting possibility of introducing alternative test statistics to classical ones like Wald Rao and likelihood ratio. Each chapter concludes with exercises that clarify the theoretical results and present additional results that complement the main discussions. Clear comprehensive and logically developed this book offers a unique opportunity to gain not only a new perspective on some standard statistics problems but the tools to put it into practice.

GBP 44.99
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Hands-On Machine Learning with R

Hands-On Machine Learning with R

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R which includes using various R packages such as glmnet h2o ranger xgboost keras and others to effectively model and gain insight from their data. The book favors a hands-on approach providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory. Throughout this book the reader will be exposed to the entire machine learning process including feature engineering resampling hyperparameter tuning model evaluation and interpretation. The reader will be exposed to powerful algorithms such as regularized regression random forests gradient boosting machines deep learning generalized low rank models and more! By favoring a hands-on approach and using real word data the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages understand when and how to tune the various hyperparameters and be able to interpret model results. By the end of this book the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: · Offers a practical and applied introduction to the most popular machine learning methods. · Topics covered include feature engineering resampling deep learning and more. · Uses a hands-on approach and real world data.

GBP 82.99
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A Primer on Wavelets and Their Scientific Applications

A Primer on Wavelets and Their Scientific Applications

In the first edition of his seminal introduction to wavelets James S. Walker informed us that the potential applications for wavelets were virtually unlimited. Since that time thousands of published papers have proven him true while also necessitating the creation of a new edition of his bestselling primer. Updated and fully revised to include the latest developments this second edition of A Primer on Wavelets and Their Scientific Applications guides readers through the main ideas of wavelet analysis in order to develop a thorough appreciation of wavelet applications. Ingeniously relying on elementary algebra and just a smidgen of calculus Professor Walker demonstrates how the underlying ideas behind wavelet analysis can be applied to solve significant problems in audio and image processing as well in biology and medicine. Nearly twice as long as the original this new edition provides 104 worked examples and 222 exercises constituting a veritable book of review material Two sections on biorthogonal wavelets A mini-course on image compression including a tutorial on arithmetic compression Extensive material on image denoising featuring a rarely covered technique for removing isolated randomly positioned clutter Concise yet complete coverage of the fundamentals of time-frequency analysis showcasing its application to audio denoising and musical theory and synthesis An introduction to the multiresolution principle a new mathematical concept in musical theory Expanded suggestions for research projects An enhanced list of references

GBP 180.00
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A Course on Statistics for Finance

A Course on Statistics for Finance

Taking a data-driven approach A Course on Statistics for Finance presents statistical methods for financial investment analysis. The author introduces regression analysis time series analysis and multivariate analysis step by step using models and methods from finance. The book begins with a review of basic statistics including descriptive statistics kinds of variables and types of data sets. It then discusses regression analysis in general terms and in terms of financial investment models such as the capital asset pricing model and the Fama/French model. It also describes mean-variance portfolio analysis and concludes with a focus on time series analysis. Providing the connection between elementary statistics courses and quantitative finance courses this text helps both existing and future quants improve their data analysis skills and better understand the modeling process.

GBP 44.99
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Designing Network On-Chip Architectures in the Nanoscale Era

Designing Network On-Chip Architectures in the Nanoscale Era

Going beyond isolated research ideas and design experiences Designing Network On-Chip Architectures in the Nanoscale Era covers the foundations and design methods of network on-chip (NoC) technology. The contributors draw on their own lessons learned to provide strong practical guidance on various design issues. Exploring the design process of the network the first part of the book focuses on basic aspects of switch architecture and design topology selection and routing implementation. In the second part contributors discuss their experiences in the industry offering a roadmap to recent products. They describe Tilera’s TILE family of multicore processors novel Intel products and research prototypes and the TRIPS operand network (OPN). The last part reveals state-of-the-art solutions to hardware-related issues and explains how to efficiently implement the programming model at the network interface. In the appendix the microarchitectural details of two switch architectures targeting multiprocessor system-on-chips (MPSoCs) and chip multiprocessors (CMPs) can be used as an experimental platform for running tests. A stepping stone to the evolution of future chip architectures this volume provides a how-to guide for designers of current NoCs as well as designers involved with 2015 computing platforms. It cohesively brings together fundamental design issues alternative design paradigms and techniques and the main design tradeoffs—consistently focusing on topics most pertinent to real-world NoC designers.

GBP 59.99
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Hands-On Data Analysis in R for Finance

Hands-On Data Analysis in R for Finance

The subject of this textbook is to act as an introduction to data science / data analysis applied to finance using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students and of course practitioners or professionals who need a desk reference. Assumes no prior knowledge of R The content has been tested in actual university classes Makes the reader proficient in advanced methods such as machine learning time series analysis principal component analysis and more Gives comprehensive and detailed explanations on how to use the most recent and free resources such as financial and statistics libraries or open database on the internet | Hands-On Data Analysis in R for Finance

GBP 74.99
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Hands-On Data Science for Librarians

Hands-On Data Science for Librarians

Librarians understand the need to store use and analyze data related to their collection patrons and institution and there has been consistent interest over the last 10 years to improve data management analysis and visualization skills within the profession. However librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping working with maps creating interactive reports machine learning and others. While there’s a place for theory ethics and statistical methods librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work no matter what type of library they work at (academic public or special). By walking through each skill and its application to library work before walking the reader through each line of code this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public academic or special) as well as graduate students in library and information science (LIS). Key Features: Only data science book available geared toward librarians that includes step-by-step code examples Examples include all library types (public academic special) Relevant datasets Accessible to non-technical professionals Focused on job skills and their applications

GBP 52.99
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A Primer on Linear Models

A Primer on Linear Models

A Primer on Linear Models presents a unified thorough and rigorous development of the theory behind the statistical methodology of regression and analysis of variance (ANOVA). It seamlessly incorporates these concepts using non-full-rank design matrices and emphasizes the exact finite sample theory supporting common statistical methods. With coverage steadily progressing in complexity the text first provides examples of the general linear model including multiple regression models one-way ANOVA mixed-effects models and time series models. It then introduces the basic algebra and geometry of the linear least squares problem before delving into estimability and the Gauss Markov model. After presenting the statistical tools of hypothesis tests and confidence intervals the author analyzes mixed models such as two-way mixed ANOVA and the multivariate linear model. The appendices review linear algebra fundamentals and results as well as Lagrange multipliers. This book enables complete comprehension of the material by taking a general unifying approach to the theory fundamentals and exact results of linear models.

GBP 175.00
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Doing Meta-Analysis with R A Hands-On Guide

Doing Meta-Analysis with R A Hands-On Guide

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered including calculation and pooling of outcome measures forest plots heterogeneity diagnostics subgroup analyses meta-regression methods to control for publication bias risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis multi-three-level meta-analyses Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package dmetar is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level making the book widely accessible. Features• Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data including exercises• Describes statistical concepts clearly and concisely before applying them in R• Includes step-by-step guidance through the coding required to perform meta-analyses and a companion R package for the book | Doing Meta-Analysis with R A Hands-On Guide

GBP 74.99
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Risk Monetization Converting Threats and Opportunities into Impact on Project Value

Risk Monetization Converting Threats and Opportunities into Impact on Project Value

Risk Monetization: Converting Threats and Opportunities into Impact on Project Value addresses the organizational political cultural and technical issues related to implementing a successful risk assessment management and monetization process. Suitable for readers in any organization or area of expertise the book assumes no prior background in risk assessment management or monetization. With more than three decades of experience in risk-process implementation the author first explains the benefits of the risk-monetization process and how risk matters are generally not handled properly in contemporary organizations. He then introduces the terms and definitions essential to making risk monetization successful in a project. The text goes on to give examples of risk-monetization techniques applied in a variety of settings before discussing the typical risk situation for most projects and the shortcomings of conventional processes. It also describes how risk identification assessment management and monetization processes are set up in an ideal environment as well as in imperfect situations. The final chapter focuses on how investment decisions are made based on the monetization and ranking of risks. Enhancing your project’s value this book offers step-by-step practical guidance on identifying assessing managing and monetizing both threats and opportunities so that risk impedes the bottom line as little as possible. It shows you how to convert probable risks into positive impacts on the chance of success and/or profitability of any project. | Risk Monetization Converting Threats and Opportunities into Impact on Project Value

GBP 69.99
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Design of Experiments An Introduction Based on Linear Models

Design of Experiments An Introduction Based on Linear Models

Offering deep insight into the connections between design choice and the resulting statistical analysis Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models completely randomized designs randomized complete blocks designs Latin squares analysis of data from orthogonally blocked designs balanced incomplete block designs random block effects split-plot designs and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments regression model design and an introduction to optimal design. To emphasize the practical value of design most chapters contain a short example of a real-world experiment. Details of the calculations performed using R along with an overview of the R commands are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment. | Design of Experiments An Introduction Based on Linear Models

GBP 74.99
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Applied Linear Regression for Longitudinal Data With an Emphasis on Missing Observations

Applied Linear Regression for Longitudinal Data With an Emphasis on Missing Observations

This book introduces best practices in longitudinal data analysis at intermediate level with a minimum number of formulas without sacrificing depths. It meets the need to understand statistical concepts of longitudinal data analysis by visualizing important techniques instead of using abstract mathematical formulas. Different solutions such as multiple imputation are explained conceptually and consequences of missing observations are clarified using visualization techniques. Key features include the following: Provides datasets and examples online Gives state-of-the-art methods of dealing with missing observations in a non-technical way with a special focus on sensitivity analysis Conceptualises the analysis of comparative (experimental and observational) studies It is the ideal companion for researchers and students in epidemiological health and social and behavioral sciences working with longitudinal studies without a mathematical background. | Applied Linear Regression for Longitudinal Data With an Emphasis on Missing Observations

GBP 89.99
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Method of Averaging for Differential Equations on an Infinite Interval Theory and Applications

Method of Averaging for Differential Equations on an Infinite Interval Theory and Applications

In recent years mathematicians have detailed simpler proofs of known theorems have identified new applications of the method of averaging and have obtained many new results of these applications. Encompassing these novel aspects Method of Averaging of the Infinite Interval: Theory and Applications rigorously explains the modern theory of the method of averaging and provides a solid understanding of the results obtained when applying this theory. The book starts with the less complicated theory of averaging linear differential equations (LDEs) focusing on almost periodic functions. It describes stability theory and Shtokalo's method and examines various applications including parametric resonance and the construction of asymptotics. After establishing this foundation the author goes on to explore nonlinear equations. He studies standard form systems in which the right-hand side of a system is proportional to a small parameter and proves theorems similar to Banfi's theorem. The final chapters are devoted to systems with a rapidly rotating phase. Covering an important asymptotic method of differential equations this book provides a thorough understanding of the method of averaging theory and its resulting applications. | Method of Averaging for Differential Equations on an Infinite Interval Theory and Applications

GBP 210.00
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Artificial Intelligence on Dark Matter and Dark Energy Reverse Engineering of the Big Bang

Artificial Intelligence on Dark Matter and Dark Energy Reverse Engineering of the Big Bang

As we prod the cosmos at very large scales basic tenets of physics seem to crumble under the weight of contradicting evidence. This book helps mitigate the crisis. It resorts to artificial intelligence (AI) for answers and describes the outcome of this quest in terms of an ur-universe a quintessential compact multiply connected space that incorporates a fifth dimension to encode space-time as a latent manifold. In some ways AI is bolder than humans because the huge corpus of knowledge starting with the prodigious Standard Model (SM) of particle physics poses almost no burden to its conjecture-framing processes. Why not feed AI with the SM enriched by the troubling cosmological phenomenology on dark matter and dark energy and see where AI takes us vis-à-vis reconciling the conflicting data with the laws of physics? This is precisely the intellectual adventure described in this book and – to the best of our knowledge – in no other book on the shelf. As the reader will discover many AI conjectures and validations ultimately make a lot of sense even if their boldness does not feel altogether human yet. This book is written for a broad readership. Prerequisites are minimal but a background in college math/physics/computer science is desirable. This book does not merely describe what is known about dark matter and dark energy but also provides readers with intellectual tools to engage in a quest for the deepest cosmological mystery. | Artificial Intelligence on Dark Matter and Dark Energy Reverse Engineering of the Big Bang

GBP 89.99
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Sets Functions and Logic An Introduction to Abstract Mathematics Third Edition

Sets Functions and Logic An Introduction to Abstract Mathematics Third Edition

Keith Devlin. You know him. You've read his columns in MAA Online you've heard him on the radio and you've seen his popular mathematics books. In between all those activities and his own research he's been hard at work revising Sets Functions and Logic his standard-setting text that has smoothed the road to pure mathematics for legions of undergraduate students. Now in its third edition Devlin has fully reworked the book to reflect a new generation. The narrative is more lively and less textbook-like. Remarks and asides link the topics presented to the real world of students' experience. The chapter on complex numbers and the discussion of formal symbolic logic are gone in favor of more exercises and a new introductory chapter on the nature of mathematics-one that motivates readers and sets the stage for the challenges that lie ahead. Students crossing the bridge from calculus to higher mathematics need and deserve all the help they can get. Sets Functions and Logic Third Edition is an affordable little book that all of your transition-course students not only can afford but will actually read and enjoy and learn from. About the AuthorDr. Keith Devlin is Executive Director of Stanford University's Center for the Study of Language and Information and a Consulting Professor of Mathematics at Stanford. He has written 23 books one interactive book on CD-ROM and over 70 published research articles. He is a Fellow of the American Association for the Advancement of Science a World Economic Forum Fellow and a former member of the Mathematical Sciences Education Board of the National Academy of Sciences . Dr. Devlin is also one of the world's leading popularizers of mathematics. Known as The Math Guy on NPR's Weekend Edition he is a frequent contributor to other local and national radio and TV shows in the US and Britain writes a monthly column for the Web journal MAA Online and regularly writes on mathematics and co | Sets Functions and Logic An Introduction to Abstract Mathematics Third Edition

GBP 175.00
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
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Practical Multivariate Analysis

Practical Multivariate Analysis

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach with excellent examples and good guidance on computing the book is particularly popular for teaching outside statistics i. e. in epidemiology social science business etc. The sixth edition has been updated with a new chapter on data visualization a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area particularly for non-statisticians. Key Features:Provides a comprehensive practical and accessible introduction to multivariate analysis. Keeps mathematical details to a minimum so particularly geared toward a non-statistical audience. Includes lots of detailed worked examples guidance on computing and exercises. Updated with a new chapter on data visualization. | Practical Multivariate Analysis

GBP 44.99
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Information Technology An Introduction for Today’s Digital World

Information Technology An Introduction for Today’s Digital World

This revised edition has more breadth and depth of coverage than the first edition. Information Technology: An Introduction for Today’s Digital World introduces undergraduate students to a wide variety of concepts that they will encounter throughout their IT studies and careers. The features of this edition include: Introductory system administration coverage of Windows 10 and Linux (Red Hat 7) both as general concepts and with specific hands-on instruction Coverage of programming and shell scripting demonstrated through example code in several popular languages Updated information on modern IT careers Computer networks including more content on cloud computing Improved coverage of computer security Ancillary material that includes a lab manual for hands-on exercises Suitable for any introductory IT course this classroom-tested text presents many of the topics recommended by the ACM Special Interest Group on IT Education (SIGITE). It offers a far more detailed examination of the computer and IT fields than computer literacy texts focusing on concepts essential to all IT professionals – from system administration to scripting to computer organization. Four chapters are dedicated to the Windows and Linux operating systems so that students can gain hands-on experience with operating systems that they will deal with in the real world. | Information Technology An Introduction for Today’s Digital World

GBP 74.99
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Combinatorics of Compositions and Words

Combinatorics of Compositions and Words

A One-Stop Source of Known Results a Bibliography of Papers on the Subject and Novel Research Directions Focusing on a very active area of research in the last decade Combinatorics of Compositions and Words provides an introduction to the methods used in the combinatorics of pattern avoidance and pattern enumeration in compositions and words. It also presents various tools and approaches that are applicable to other areas of enumerative combinatorics. After a historical perspective on research in the area the text introduces techniques to solve recurrence relations including iteration and generating functions. It then focuses on enumeration of basic statistics for compositions. The text goes on to present results on pattern avoidance for subword subsequence and generalized patterns in compositions and then applies these results to words. The authors also cover automata the ECO method generating trees and asymptotic results via random compositions and complex analysis. Highlighting both established and new results this book explores numerous tools for enumerating patterns in compositions and words. It includes a comprehensive bibliography and incorporates the use of the computer algebra systems Maple™ and Mathematica® as well as C++ to perform computations.

GBP 74.99
1

Bayesian Hierarchical Models With Applications Using R Second Edition

Bayesian Hierarchical Models With Applications Using R Second Edition

An intermediate-level treatment of Bayesian hierarchical models and their applications this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables and in methods where parameters can be treated as random collections. Through illustrative data analysis and attention to statistical computing this book facilitates practical implementation of Bayesian hierarchical methods. The new edition is a revision of the book Applied Bayesian Hierarchical Methods. It maintains a focus on applied modelling and data analysis but now using entirely R-based Bayesian computing options. It has been updated with a new chapter on regression for causal effects and one on computing options and strategies. This latter chapter is particularly important due to recent advances in Bayesian computing and estimation including the development of rjags and rstan. It also features updates throughout with new examples. The examples exploit and illustrate the broader advantages of the R computing environment while allowing readers to explore alternative likelihood assumptions regression structures and assumptions on prior densities. Features:Provides a comprehensive and accessible overview of applied Bayesian hierarchical modellingIncludes many real data examples to illustrate different modelling topicsR code (based on rjags jagsUI R2OpenBUGS and rstan) is integrated into the book emphasizing implementationSoftware options and coding principles are introduced in new chapter on computingPrograms and data sets available on the book’s website | Bayesian Hierarchical Models With Applications Using R Second Edition

GBP 44.99
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Philosophy of Mathematics Classic and Contemporary Studies

Philosophy of Mathematics Classic and Contemporary Studies

The philosophy of mathematics is an exciting subject. Philosophy of Mathematics: Classic and Contemporary Studies explores the foundations of mathematical thought. The aim of this book is to encourage young mathematicians to think about the philosophical issues behind fundamental concepts and about different views on mathematical objects and mathematical knowledge. With this new approach the author rekindles an interest in philosophical subjects surrounding the foundations of mathematics. He offers the mathematical motivations behind the topics under debate. He introduces various philosophical positions ranging from the classic views to more contemporary ones including subjects which are more engaged with mathematical logic. Most books on philosophy of mathematics have little to no focus on the effects of philosophical views on mathematical practice and no concern on giving crucial mathematical results and their philosophical relevance consequences reasons etc. This book fills this gap. The book can be used as a textbook for a one-semester or even one-year course on philosophy of mathematics. Other textbooks on the philosophy of mathematics are aimed at philosophers. This book is aimed at mathematicians. Since the author is a mathematician it is a valuable addition to the literature. Mark Balaguer California State University Los Angeles There are not many such texts available for mathematics students. I applaud efforts to foster the dialogue between mathematics and philosophy. Michele Friend George Washington University and CNRS Lille France | Philosophy of Mathematics Classic and Contemporary Studies

GBP 48.99
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Ratio of Momentum Diffusivity to Thermal Diffusivity Introduction Meta-analysis and Scrutinization

Ratio of Momentum Diffusivity to Thermal Diffusivity Introduction Meta-analysis and Scrutinization

This book presents a systematic introduction practical meaning and measurement of thermo-physical properties (i. e. viscosity density thermal conductivity specific heat capacity and thermal diffusivity) associated with the Prandtl number. The method of slope linear regression through the data points is presented in this textbook as a methodology for a deeper and insightful scrutinization. The book serves as a reference book for scientific investigators Teachers of Fluid Mechanics Experts on Heat and Mass Transfer Researchers on Boundary layer flows Mechanical and Chemical Engineers Physicists and Postgraduate Students working on transport phenomena who need theoretical and empirical reviews on the impact of increasing the ratio of momentum diffusivity to thermal diffusivity. Features: A systematic overview of the state-of-the-art in statistical methodology for understanding changes between dependent and independent variables. Pointers to some theoretical and empirical reviews on Prandtl number. Presents in-depth analysis of various self-similar flows emphasizing stretching induced flows nanofluid dynamics suction injection free convection mixed convection and forced convection. Insightful study on thermal radiation heat sour heat sink energy flux due to concentration gradient mass flux due to temperature gradient thermo-capillary convection flow Joule heating viscous dissipation thermal stratification thermophoresis and Brownian motion of particles. | Ratio of Momentum Diffusivity to Thermal Diffusivity Introduction Meta-analysis and Scrutinization

GBP 150.00
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Visualizing Surveys in R

Visualizing Surveys in R

Visualizing Surveys in R is about creating static print quality figures from survey data using R. The focus is not for example on statistical analysis of survey data but rather on giving concrete solutions for typical problems in visualizing survey data. While there are many excellent books on data visualization surveys and R the aim of this book is to bring these topics together and offer practical instructions for visualizing surveys in R. Features Introduction to survey data: variables categories and scales Description of a process for visualizing survey data Recommendations for reading survey data into R Advice on building a survey dataset in R to facilitate versatile plotting Step-by-step recipes in R for creating useful plots from survey data The book is intended for researchers who regularly use surveys and are interested in learning how to seize the vast possibilities and the flexibility of R in survey analysis and visualizations. The book is also valuable for psychologists marketeers HR personnel managers and other professionals who wish to standardize and automate the process for visualizing survey data. Finally the book is suitable as a course textbook either more widely on survey studies or more strictly on visualizing survey data in R.

GBP 140.00
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