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Risk Management in Supply Chains Using Linear and Non-linear Models

Risk Management in Supply Chains Using Linear and Non-linear Models

The book examines a relatively unexplored issue in supply chain risk management which is how long companies specifically take to respond to catastrophic events of low probability but high impact. The book also looks at why such supply chain disruptions are unavoidable and consequently all complex supply chains are inherently at risk. The book illustrates how companies can respond to supply chain disruptions with faster responses and in shorter lead-times to reduce impact. In reducing total response time designing solutions and deploying a recovery plan sooner after a disruption in anticipation of such events companies reduce the impact of disruption risk. The book also explores the basics of multiple-criteria decision-making (MCDM) and analytic hierarchy process (AHP) and how they contribute to both the quality of the financial economic decision-making process and the quality of the resulting decisions. The book illustrates through cases in the construction sector how this industry has become more complex and riskier due to the diverse nature of activities among global companies. | Risk Management in Supply Chains Using Linear and Non-linear Models

GBP 38.99
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Design of Experiments for Generalized Linear Models

Design of Experiments for Generalized Linear Models

Generalized Linear Models (GLMs) allow many statistical analyses to be extended to important statistical distributions other than the Normal distribution. While numerous books exist on how to analyse data using a GLM little information is available on how to collect the data that are to be analysed in this way. This is the first book focusing specifically on the design of experiments for GLMs. Much of the research literature on this topic is at a high mathematical level and without any information on computation. This book explains the motivation behind various techniques reduces the difficulty of the mathematics or moves it to one side if it cannot be avoided and gives examples of how to write and run computer programs using R. FeaturesThe generalisation of the linear model to GLMsBackground mathematics and the use of constrained optimisation in RCoverage of the theory behind the optimality of a designIndividual chapters on designs for data that have Binomial or Poisson distributionsBayesian experimental designAn online resource contains R programs used in the bookThis book is aimed at readers who have done elementary differentiation and understand minimal matrix algebra and have familiarity with R. It equips professional statisticians to read the research literature. Nonstatisticians will be able to design their own experiments by following the examples and using the programs provided. | Design of Experiments for Generalized Linear Models

GBP 38.99
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Psychoanalysis Neuroscience and Adolescent Development Non-Linear Perspectives on the Regulation of the Self

Psychoanalysis Neuroscience and Adolescent Development Non-Linear Perspectives on the Regulation of the Self

Psychoanalysis Neuroscience and Adolescent Development: Non-Linear Perspectives on the Regulation of the Self explores how psychoanalysis can combine its theoretical perspectives with more recent discoveries about neurological and non-linear developmental processes that unfold during the period of puberty to young adulthood to help inform understanding of contemporary adolescent behaviours and mental health issues. With the powerful impact of neuroscience research findings opportunities emerge to create a new paradigm to attempt to organize specific psychoanalytic theories. Neurobiological regulation offers such an opportunity. By combining elements of domains of compatible knowledge into a flexible explanatory synergy the potential for an intellectually satisfying theoretical framework can be created. In this work Harold Bendicsen formulates a multi-disciplinary theoretical approach involving current research and drawing on neuroscience to consider the behaviour regulation processes of the mind/brain and the capacities and potential it brings to understanding the development of adolescents and young adults. Psychoanalysis Neuroscience and Adolescent Development advances Bendicsen’s study of adolescence and the transition to young adulthood begun in The Transformational Self. It will be of great interest to psychoanalysts and psychoanalytic psychotherapists as well as psychologists clinical social workers psychiatrists and counsellors. | Psychoanalysis Neuroscience and Adolescent Development Non-Linear Perspectives on the Regulation of the Self

GBP 36.99
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Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables is designed for graduate students and researchers in the behavioral social health and medical sciences. It incorporates examples of truncated counts censored continuous variables and doubly bounded continuous variables such as percentages. The book provides broad but unified coverage and the authors integrate the concepts and ideas shared across models and types of data especially regarding conceptual links between discrete and continuous limited dependent variables. The authors argue that these dependent variables are if anything more common throughout the human sciences than the kind that suit linear regression. They cover special cases or extensions of models estimation methods model diagnostics and of course software. They also discuss bounded continuous variables boundary-inflated models and methods for modeling heteroscedasticity. Wherever possible the authors have illustrated concepts models and techniques with real or realistic datasets and demonstrations in R and Stata and each chapter includes several exercises at the end. The illustrations and exercises help readers build conceptual understanding and fluency in using these techniques. At several points the authors bring together material that has been previously scattered across the literature in journal articles software package documentation files and blogs. These features help students learn to choose the appropriate models for their purpose.

GBP 42.99
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The Social Aspects of Environmental and Climate Change Institutional Dynamics Beyond a Linear Model

The Social Aspects of Environmental and Climate Change Institutional Dynamics Beyond a Linear Model

The Social Aspects of Environmental and Climate Change critically examines the prominence of natural science framing in mainstream climate change research and demonstrates why climate change really is a social issue. The book highlights how assumptions regarding social and cultural systems that are common in sustainability science have impeded progress in understanding environmental and climate change. The author explains how social sciences theory and perspectives provide an understanding of institutional dynamics including issues of scale possibilities for learning and stakeholder interaction using specific case studies to illustrate this impact. The book highlights the foundational role research into social political cultural behavioural and economic processes must play if we are to design successful strategies instruments and management actions to act on climate change. With pedagogical features such as suggestions for further reading text boxes and study questions in each chapter this book will be an essential resource for students and scholars in sustainability environmental studies climate change and related fields. | The Social Aspects of Environmental and Climate Change Institutional Dynamics Beyond a Linear Model

GBP 35.99
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Statistics for Linguists: An Introduction Using R

Statistics for Linguists: An Introduction Using R

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models for linguistics. The book covers simple uses of linear models through generalized models to more advanced approaches maintaining its focus on conceptual issues and avoiding excessive mathematical details. It contains many applied examples using the R statistical programming environment. Written in an accessible tone and style this text is the ideal main resource for graduate and advanced undergraduate students of Linguistics statistics courses as well as those in other fields including Psychology Cognitive Science and Data Science.

GBP 42.99
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A Pen and Paper Introduction to Statistics

A Pen and Paper Introduction to Statistics

Statistics is central in the biosciences social sciences and other disciplines yet many students often struggle to learn how to perform statistical tests and to understand how and why statistical tests work. Although there are many approaches to teaching statistics a common framework exists between them: starting with probability and distributions then sampling from distribution and descriptive statistics and later introducing both simple and complex statistical tests typically ending with regression analysis (linear models). This book proposes to reverse the way statistics is taught by starting with the introduction of linear models. Today many statisticians know that the one unifying principle of statistical tests is that most of them are instances of linear models. This teaching method has two advantages: all statistical tests in a course can be presented under the same unifying framework simplifying things; second linear models can be expressed as lines over squared paper replacing any equation with a drawing. This book explains how and why statistics works without using a single equation just lines and squares over grid paper. The reader will have the opportunity to work through the examples and compute sums of squares by just drawing and counting and finally evaluating whether observed differences are statistically significant by using the tables provided. Intended for students scientists and those with little prior knowledge of statistics this book is for all with simple and clear examples computations and drawings helping the reader to not only do statistical tests but also understand statistics. | A Pen and Paper Introduction to Statistics

GBP 31.99
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Statistical Methods for Spatial Data Analysis

Statistical Methods for Spatial Data Analysis

Understanding spatial statistics requires tools from applied and mathematical statistics linear model theory regression time series and stochastic processes. It also requires a mindset that focuses on the unique characteristics of spatial data and the development of specialized analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that incorporates all of these factors by presenting a balanced exposition that explores both the theoretical foundations of the field of spatial statistics as well as practical methods for the analysis of spatial data. This book is a comprehensive and illustrative treatment of basic statistical theory and methods for spatial data analysis employing a model-based and frequentist approach that emphasizes the spatial domain. It introduces essential tools and approaches including: measures of autocorrelation and their role in data analysis; the background and theoretical framework supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a comprehensive treatment of spatial analysis in the spectral domain; and spatial prediction and kriging. The volume also delivers a thorough analysis of spatial regression providing a detailed development of linear models with uncorrelated errors linear models with spatially-correlated errors and generalized linear mixed models for spatial data. It succinctly discusses Bayesian hierarchical models and concludes with reviews on simulating random fields non-stationary covariance and spatio-temporal processes. Additional material on the CRC Press website supplements the content of this book. The site provides data sets used as examples in the text software code that can be used to implement many of the principal methods described and illustrated and updates to the text itself.

GBP 42.99
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A Study of Innovative Behavior in High Technology Product Development Organizations

A Study of Innovative Behavior in High Technology Product Development Organizations

Originally published in 1999 this volume integrates several streams of research on the antecedents of innovation to test a model of individual innovative behavior in a high technology product development organization. The sample for this research was a group of Engineers Designers and Lab Technicians employed in an engineering department responsible for the development of high technology products. Structural equation modeling techniques and multiple linear regression were used to evaluate the research. | A Study of Innovative Behavior in High Technology Product Development Organizations

GBP 31.99
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Environmental and Ecological Statistics with R

Environmental and Ecological Statistics with R

Emphasizing the inductive nature of statistical thinking Environmental and Ecological Statistics with R Second Edition connects applied statistics to the environmental and ecological fields. Using examples from published works in the ecological and environmental literature the book explains the approach to solving a statistical problem covering model specification parameter estimation and model evaluation. It includes many examples to illustrate the statistical methods and presents R code for their implementation. The emphasis is on model interpretation and assessment and using several core examples throughout the book the author illustrates the iterative nature of statistical inference. The book starts with a description of commonly used statistical assumptions and exploratory data analysis tools for the verification of these assumptions. It then focuses on the process of building suitable statistical models including linear and nonlinear models classification and regression trees generalized linear models and multilevel models. It also discusses the use of simulation for model checking and provides tools for a critical assessment of the developed models. The second edition also includes a complete critique of a threshold model. Environmental and Ecological Statistics with R Second Edition focuses on statistical modeling and data analysis for environmental and ecological problems. By guiding readers through the process of scientific problem solving and statistical model development it eases the transition from scientific hypothesis to statistical model.

GBP 39.99
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Introduction to Mechanics

Introduction to Mechanics

A modern introduction to Newtonian dynamics and the basics of special relativity this book discusses standard topics such as Newton’s laws of motion energy linear and angular momentum rigid body dynamics and oscillations then goes on to introduce modern topics such as symmetries phase space nonlinear dynamics and chaos. The author presents Newton’s equation of motion as a differential equation bringing out key issues such as phase space and determinism in mechanical systems and helps introduce modern research topics such as chaos theory in a natural way. He highlights key assumptions of Newtonian mechanics and incorporates numerical solutions of many mechanical systems using MATLAB®. | Introduction to Mechanics

GBP 18.99
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New Mathematical Advances in Economic Dynamics

New Mathematical Advances in Economic Dynamics

Originally published in 1985. Mathematical methods and models to facilitate the understanding of the processes of economic dynamics and prediction were refined considerably over the period before this book was written. The field had grown; and many of the techniques involved became extremely complicated. Areas of particular interest include optimal control non-linear models game-theoretic approaches demand analysis and time-series forecasting. This book presents a critical appraisal of developments and identifies potentially productive new directions for research. It synthesises work from mathematics statistics and economics and includes a thorough analysis of the relationship between system understanding and predictability. | New Mathematical Advances in Economic Dynamics

GBP 31.99
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Introductory Mathematical Analysis for Quantitative Finance

Introductory Mathematical Analysis for Quantitative Finance

Introductory Mathematical Analysis for Quantitative Finance is a textbook designed to enable students with little knowledge of mathematical analysis to fully engage with modern quantitative finance. A basic understanding of dimensional Calculus and Linear Algebra is assumed. The exposition of the topics is as concise as possible since the chapters are intended to represent a preliminary contact with the mathematical concepts used in Quantitative Finance. The aim is that this book can be used as a basis for an intensive one-semester course. Features:Written with applications in mind and maintaining mathematical rigor. Suitable for undergraduate or master's level students with an Economics or Management background. Complemented with various solved examples and exercises to support the understanding of the subject.

GBP 39.99
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Bayesian Statistical Methods

Bayesian Statistical Methods

Bayesian Statistical Methods provides data scientists with the foundational and computational tools needed to carry out a Bayesian analysis. This book focuses on Bayesian methods applied routinely in practice including multiple linear regression mixed effects models and generalized linear models (GLM). The authors include many examples with complete R code and comparisons with analogous frequentist procedures. In addition to the basic concepts of Bayesian inferential methods the book covers many general topics: Advice on selecting prior distributionsComputational methods including Markov chain Monte Carlo (MCMC) Model-comparison and goodness-of-fit measures including sensitivity to priorsFrequentist properties of Bayesian methodsCase studies covering advanced topics illustrate the flexibility of the Bayesian approach:Semiparametric regression Handling of missing data using predictive distributionsPriors for high-dimensional regression modelsComputational techniques for large datasetsSpatial data analysisThe advanced topics are presented with sufficient conceptual depth that the reader will be able to carry out such analysis and argue the relative merits of Bayesian and classical methods. A repository of R code motivating data sets and complete data analyses are available on the book’s website. Brian J. Reich Associate Professor of Statistics at North Carolina State University is currently the editor-in-chief of the Journal of Agricultural Biological and Environmental Statistics and was awarded the LeRoy & Elva Martin Teaching Award. Sujit K. Ghosh Professor of Statistics at North Carolina State University has over 22 years of research and teaching experience in conducting Bayesian analyses received the Cavell Brownie mentoring award and served as the Deputy Director at the Statistical and Applied Mathematical Sciences Institute.

GBP 39.99
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Introduction to Combinatorics

Introduction to Combinatorics

What Is Combinatorics Anyway?Broadly speaking combinatorics is the branch of mathematics dealingwith different ways of selecting objects from a set or arranging objects. Ittries to answer two major kinds of questions namely counting questions: how many ways can a selection or arrangement be chosen with a particular set of properties; and structural questions: does there exist a selection or arrangement of objects with a particular set of properties?The authors have presented a text for students at all levels of preparation. For some this will be the first course where the students see several real proofs. Others will have a good background in linear algebra will have completed the calculus stream and will have started abstract algebra. The text starts by briefly discussing several examples of typical combinatorial problemsto give the reader a better idea of what the subject covers. The nextchapters explore enumerative ideas and also probability. It then moves on toenumerative functions and the relations between them and generating functions and recurrences. Important families of functions or numbers and then theorems are presented. Brief introductions to computer algebra and group theory come next. Structures of particular interest in combinatorics: posets graphs codes Latin squares and experimental designs follow. Theauthors conclude with further discussion of the interaction between linear algebraand combinatorics. FeaturesTwo new chapters on probability and posets. Numerous new illustrations exercises and problems. More examples on current technology use A thorough focus on accuracyThree appendices: sets induction and proof techniques vectors and matrices and biographies with historical notes Flexible use of MapleTM and MathematicaTM | Introduction to Combinatorics

GBP 42.99
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Business Statistics Using Excel A Complete Course in Data Analytics

Business Statistics Using Excel A Complete Course in Data Analytics

This book gives readers a hands-on understanding of Excel-assisted statistical techniques to take effective business decisions. It showcases applications of the tools and techniques of statistics for analysing business data from the domain of business statistics. The volume provides an exhaustive introduction to the application of statistics in solving business problems and implementing data analytics for effective decision making in all kinds of business situations around the world. With an emphasis on simplicity in presentation of concepts of statistical methods and associated Excel functions the volume explores the implementation of Excel functions through well-defined sequences of steps. It covers an array of key topics which include Discussions on real-world problems decision support systems scope of business statistics types and steps of research; Introduction to Excel and its mathematical and preliminary statistical functions; usage of different types of average functions; mean median and mode functions; measures of variation; measures of skewness of Excel; In-depth discussions on probability distributions sampling distributions testing of hypothesis chi-square test non-parametric tests of Excel; Extensive coverage on correlation and covariance forecasting analysis of variance charts in Excel; and Analysis of the concept of linear programming problem formulations and techniques of linear programming followed by the application in Excel. Comprehensive in scope and simple in approach this book will be key for students and researchers of business studies business administration economics finance commerce data analytics/science and computer science. This will also serve as useful guidebook for business executives and working professionals across the globe. | Business Statistics Using Excel A Complete Course in Data Analytics

GBP 34.99
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A Course in Differential Equations with Boundary Value Problems

A Course in Differential Equations with Boundary Value Problems

A Course in Differential Equations with Boundary Value Problems 2nd Edition adds additional content to the author’s successful A Course on Ordinary Differential Equations 2nd Edition. This text addresses the need when the course is expanded. The focus of the text is on applications and methods of solution both analytical and numerical with emphasis on methods used in the typical engineering physics or mathematics student’s field of study. The text provides sufficient problems so that even the pure math major will be sufficiently challenged. The authors offer a very flexible text to meet a variety of approaches including a traditional course on the topic. The text can be used in courses when partial differential equations replaces Laplace transforms. There is sufficient linear algebra in the text so that it can be used for a course that combines differential equations and linear algebra. Most significantly computer labs are given in MATLAB® Mathematica® and Maple™. The book may be used for a course to introduce and equip the student with a knowledge of the given software. Sample course outlines are included. FeaturesMATLAB® Mathematica® and Maple™ are incorporated at the end of each chapter. All three software packages have parallel code and exercises;There are numerous problems of varying difficulty for both the applied and pure math major as well as problems for engineering physical science and other students. An appendix that gives the reader a crash course in the three software packages. Chapter reviews at the end of each chapter to help the students reviewProjects at the end of each chapter that go into detail about certain topics and introduce new topics that the students are now ready to seeAnswers to most of the odd problems in the back of the book

GBP 42.99
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Differential Equations with Applications and Historical Notes

Differential Equations with Applications and Historical Notes

Fads are as common in mathematics as in any other human activity and it is always difficult to separate the enduring from the ephemeral in the achievements of one’s own time. An unfortunate effect of the predominance of fads is that if a student doesn’t learn about such worthwhile topics as the wave equation Gauss’s hypergeometric function the gamma function and the basic problems of the calculus of variations—among others—as an undergraduate then he/she is unlikely to do so later. The natural place for an informal acquaintance with such ideas is a leisurely introductory course on differential equations. Specially designed for just such a course Differential Equations with Applications and Historical Notes takes great pleasure in the journey into the world of differential equations and their wide range of applications. The author—a highly respected educator—advocates a careful approach using explicit explanation to ensure students fully comprehend the subject matter. With an emphasis on modeling and applications the long-awaited Third Edition of this classic textbook presents a substantial new section on Gauss’s bell curve and improves coverage of Fourier analysis numerical methods and linear algebra. Relating the development of mathematics to human activity—i. e. identifying why and how mathematics is used—the text includes a wealth of unique examples and exercises as well as the author’s distinctive historical notes throughout. Provides an ideal text for a one- or two-semester introductory course on differential equationsEmphasizes modeling and applicationsPresents a substantial new section on Gauss’s bell curveImproves coverage of Fourier analysis numerical methods and linear algebraRelates the development of mathematics to human activity—i. e. identifying why and how mathematics is usedIncludes a wealth of unique examples and exercises as well as the author’s distinctive historical notes throughoutUses explicit explanation to ensure students fully comprehend the subject matter Outstanding Academic Title of the Year Choice magazine American Library Association.

GBP 42.99
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Modulation Theory

Modulation Theory

In recent years a considerable amount of effort has been devoted both in industry and academia towards the design performance analysis and evaluation of modulation schemes to be used in wireless and optical networks towards the development of the next and future generations of mobile cellular communication systems. Modulation Theory is intended to serve as a complementary textbook for courses dealing with Modulation Theory or Communication Systems but also as a professional book for engineers who need to update their knowledge in the communications area. The modulation aspects presented in the book use modern concepts of stochastic processes such as autocorrelation and power spectrum density which are novel for undergraduate texts or professional books and provides a general approach for the theory with real life results applied to professional design. This text is suitable for the undergraduate as well as the initial graduate levels of Electrical Engineering courses and is useful for the professional who wants to review or get acquainted with the a modern exposition of the modulation theory. The books covers signal representations for most known waveforms Fourier analysis and presents an introduction to Fourier transform and signal spectrum including the concepts of convolution autocorrelation and power spectral density for deterministic signals. It introduces the concepts of probability random variables and stochastic processes including autocorrelation cross-correlation power spectral and cross-spectral densities for random signals and their applications to the analysis of linear systems. This chapter also includes the response of specific non-linear systems such as power amplifiers. The book presents amplitude modulation with random signals including analog and digital signals and discusses performance evaluation methods presents quadrature amplitude modulation using random signals. Several modulation schemes are discussed including SSB QAM ISB C-QUAM QPSK and MSK. Their autocorrelation and power spectrum densities are computed. A thorough discussion on angle modulation with random modulating signals along with frequency and phase modulation and orthogonal frequency division multiplexing is provided. Their power spectrum densities are computed using the Wiener-Khintchin theorem.

GBP 35.99
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Data Visualization Made Simple Insights into Becoming Visual

Data Visualization Made Simple Insights into Becoming Visual

Data Visualization Made Simple is a practical guide to the fundamentals strategies and real-world cases for data visualization an essential skill required in today’s information-rich world. With foundations rooted in statistics psychology and computer science data visualization offers practitioners in almost every field a coherent way to share findings from original research big data learning analytics and more. In nine appealing chapters the book: examines the role of data graphics in decision-making sharing information sparking discussions and inspiring future research; scrutinizes data graphics deliberates on the messages they convey and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education business and other areas can use this book’s effective linear process to develop data visualization literacy and promote exploratory inquiry-based approaches to visualization problems. | Data Visualization Made Simple Insights into Becoming Visual

GBP 36.99
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Canine-Assisted Interventions A Comprehensive Guide to Credentialing Therapy Dog Teams

Canine-Assisted Interventions A Comprehensive Guide to Credentialing Therapy Dog Teams

Covering principles of therapy dog team training assessment skills and ongoing monitoring Canine-Assisted Interventions provides guidance on the most evidence-based methods for therapy dog team welfare training and assessment. The authors offer a linear approach to understanding all aspects of the screening assessment and selection of dog-handler teams by exploring the journey of dog therapy teams from assessment of canines and handlers to the importance of ongoing monitoring recredentialing and retirement. In addition to reviewing key findings within the field of human-animal interactions each chapter emphasizes skills on both the human and dog ends of the leash and makes recommendations for research-informed best practices. To support readers the book culminates with checklists and training resources to serve as a quick reference for readers. This book will be of great interest for practitioners in-service professionals and researchers in the fields of canine-assisted interventions and counseling. | Canine-Assisted Interventions A Comprehensive Guide to Credentialing Therapy Dog Teams

GBP 34.99
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