Books - StatisticsViews
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The latest content from StatisticsViews.http://www.statisticsviews.comIntroduction to Time Series Analysis and Forecasting, 2nd...
http://www.statisticsviews.com/details/book/7918251/Introduction-to-Time-Series-Analysis-and-Forecasting-2nd-Edition.html
Praise for the First Edition
"…[t]he book is great for readers who need to apply
the methods and models presented but have little background in
mathematics and statistics." -MAA Reviews
Thoroughly updated throughout, Introduction to Time Series
Analysis and Forecasting, Second Edition presents the
underlying theories of time series analysis that are needed to
analyze time-oriented data and construct real-world short- to
medium-term statistical forecasts.
Authored by...]]>2015-05-29T00:00:00ZComplex Analysis: A Modern First Course in Function Theory
http://www.statisticsviews.com/details/book/7918241/Complex-Analysis-A-Modern-First-Course-in-Function-Theory.html
A thorough introduction to the theory of complex functions emphasizing the beauty, power, and counterintuitive nature of the subject
Written with a reader-friendly approach, Complex Analysis: A Modern First Course in Function Theory features a self-contained, concise development of the fundamental principles of complex analysis. After laying groundwork on complex numbers and the calculus and geometric mapping properties of functions of a complex variable, the author uses power series as a...]]>2015-05-29T00:00:00ZBeyond Basic Statistics: Tips, Tricks, and Techniques Every...
http://www.statisticsviews.com/details/book/7918221/Beyond-Basic-Statistics-Tips-Tricks-and-Techniques-Every-Data-Analyst-Should-Kno.html
Features basic statistical concepts as a tool for thinking critically, wading through large quantities of information, and answering practical, everyday questions
Written in an engaging and inviting manner, Beyond Basic Statistics: Tips, Tricks, and Techniques Every Data Analyst Should Know presents the more subjective side of statistics—the art of data analytics. Each chapter explores a different question using fun, common sense examples that illustrate the concepts, methods, and applications of...]]>2015-05-29T00:00:00ZLogic and Discrete Mathematics: A Concise Introduction
http://www.statisticsviews.com/details/book/7918261/Logic-and-Discrete-Mathematics-A-Concise-Introduction.html
A concise yet rigorous introduction to logic and discrete
mathematics.
This book features a unique combination of comprehensive
coverage of logic with a solid exposition of the most important
fields of discrete mathematics, presenting material that has been
tested and refined by the authors in university courses taught over
more than a decade.
The chapters on logic - propositional and first-order -
provide a robust toolkit for logical reasoning, emphasizing
the conceptual understanding of...]]>2015-05-22T00:00:00ZTipping Points: Modelling Social Problems and Health
http://www.statisticsviews.com/details/book/7918401/Tipping-Points-Modelling-Social-Problems-and-Health.html
This book focuses on the modelling of contemporary health and social problems, especially those considered a major burden to communities, governments and taxpayers, such as smoking, alcoholism, drug use, and heart disease. Based on a series of papers presented at a recent conference hosted by the Leverhulme-funded Tipping Points project at the University of Durham, this book illustrates a broad range of modelling approaches. Such a diverse collection demonstrates that an interdisciplinary approach is...]]>2015-05-22T00:00:00ZSpatial and Spatio-temporal Bayesian Models with R - INLA
http://www.statisticsviews.com/details/book/7918351/Spatial-and-Spatio-temporal-Bayesian-Models-with-R---INLA.html
Spatial and Spatio-Temporal Bayesian Models with
R-INLA provides a much needed, practically oriented
& innovative presentation of the combination of Bayesian
methodology and spatial statistics. The authors combine an
introduction to Bayesian theory and methodology with a focus on the
spatial and spatio-temporal models used within the Bayesian
framework and a series of practical examples which allow the reader
to link the statistical theory presented to real data problems. The
numerous examples...]]>2015-05-12T00:00:00ZMultivariate Density Estimation: Theory, Practice, and...
http://www.statisticsviews.com/details/book/7918331/Multivariate-Density-Estimation-Theory-Practice-and-Visualization-2nd-Edition.html
Clarifies modern data analysis through nonparametric density estimation for a complete working knowledge of the theory and methods
Featuring a thoroughly revised presentation, Multivariate Density Estimation: Theory, Practice, and Visualization, Second Edition maintains an intuitive approach to the underlying methodology and supporting theory of density estimation. Including new material and updated research in each chapter, the Second Edition presents additional clarification of theoretical opportunities,...]]>2015-05-12T00:00:00ZStatistics for Spatial Data, Revised Edition
http://www.statisticsviews.com/details/book/7918361/Statistics-for-Spatial-Data-Revised-Edition.html
The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists.
Spatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems...]]>2015-05-08T00:00:00ZMeta-Analysis: A Structural Equation Modeling Approach
http://www.statisticsviews.com/details/book/7918281/Meta-Analysis-A-Structural-Equation-Modeling-Approach.html
Presents a novel approach to conducting meta-analysis using structural equation modeling.
Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical...]]>2015-05-08T00:00:00ZTheoretical Foundations of Functional Data Analysis, with an...
http://www.statisticsviews.com/details/book/7918381/Theoretical-Foundations-of-Functional-Data-Analysis-with-an-Introduction-to-Line.html
Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA).The self–contained treatment of selected topics of functional analysis and operator theory includes reproducing kernel Hilbert spaces, singular value decomposition of compact operators on Hilbert spaces and perturbation theory for both...]]>2015-05-08T00:00:00Z