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A Modern Approach to Regression with R
This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.
A Modern Approach to Regression with R
This book focuses on tools and techniques for building regression models using real-world data and assessing their validity. A key theme throughout the book is that it makes sense to base inferences or conclusions only on valid models. Plots are shown to be an important tool for both building regression models and assessing their validity. We shall see that deciding what to plot and how each plot should be interpreted will be a major challenge. In order to overcome this challenge we shall need to understand the mathematical properties of the fitted regression models and associated diagnostic procedures. As such this will be an area of focus throughout the book. In particular, we shall carefully study the properties of resi- als in order to understand when patterns in residual plots provide direct information about model misspecification and when they do not. The regression output and plots that appear throughout the book have been gen- ated using R. The output from R that appears in this book has been edited in minor ways. On the book web site you will find the R code used in each example in the text.
Nonparametric Statistical Methods Using R
Praise for the first edition: “This book would be especially good for the shelf of anyone who already knows nonparametrics, but wants a reference for how to apply those techniques in R.” -The American Statistician This thoroughly updated and expanded second edition of Nonparametric Statistical Methods Using R covers traditional nonparametric methods and rank-based analyses. Two new chapters covering multivariate analyses and big data have been added. Core classical nonparametrics chapters on one- and two-sample problems have been expanded to include discussions on ties as well as power and sample size determination. Common machine learning topics --- including k-nearest neighbors and tre...
Technology for Business
This book describes and defines the elements of the fourth industrial revolution and how the opportunities offered by sensorization, the Internet of Things, cloud computing, robotics, and the use of big data can benefit small to medium-sized enterprises. It first defines the terms of the latest technological advances and then suggests the ways in which these can be applied. Business is about meeting customer needs by delivering products and services to expectations at the appropriate quality and price and on time. When the appropriate digital tools are applied within a lean thinking framework using statistical control of all processes, the benefits to the customer and the enterprise are significant. Advances in industries such as fuel cells, battery technology, robots and clean energy solutions are briefly described. It is hoped that the readers and my clients will benefit from my experience as they further innovate and create their successful business ventures.
Numerical Methods of Statistics
This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. For statisticians, it examines the nitty-gritty computational problems behind statistical methods. For mathematicians and computer scientists, it looks at the application of mathematical tools to statistical problems. The first half of the book offers a basic background in numerical analysis that emphasizes issues important to statisticians. The next several chapters cover a broad array of statistical tools, such as maximum likelihood and nonlinear regression. The author also treats the application of numerical tools; numerical integration and random number generation are explained in a unified manner reflecting complementary views of Monte Carlo methods. Each chapter contains exercises that range from simple questions to research problems. Most of the examples are accompanied by demonstration and source code available from the author's website. New in this second edition are demonstrations coded in R, as well as new sections on linear programming and the Nelder–Mead search algorithm.
Satisfaction: A Behavioral Perspective on the Consumer
Designed for advanced MBA and doctoral courses in Consumer Behavior and Customer Satisfaction, this is the definitive text on the meaning, causes, and consequences of customer satisfaction. It covers every psychological aspect of satisfaction formation, and the contents are applicable to all consumables - product or service.Author Richard L. Oliver traces the history of consumer satisfaction from its earliest roots, and brings together the very latest thinking on the consequences of satisfying (or not satisfying) a firm's customers. He describes today's best practices in business, and broadens the determinants of satisfaction to include needs, quality, fairness, and regret ('what might have been').The book culminates in Oliver's detailed model of consumption processing and his satisfaction measurement scale. The text concludes with a section on the long-term effects of satisfaction, and why an understanding of satisfaction psychology is vitally important to top management.
Multivariate Density Estimation
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, new algorithms, and up-to-date coverage of the unique challenges presented in the field of data analysis. The new edition focuses on the various density estimation techniques and methods t...
Peterson's Graduate Programs Programs in Mathematics 2011
Peterson's Graduate Programs in Mathematics contains a wealth of information on colleges and universities that offer graduate work in Applied Mathematics, Applied Statistics, Biomathematics, Biometry, Biostatistics, Computational Sciences, Mathematical and Computational Finance, Mathematics, and Statistics. The institutions listed include those in the United States, Canada, and abroad that are accredited by U.S. accrediting bodies. Up-to-date information, collected through Peterson's Annual Survey of Graduate and Professional Institutions, provides valuable information on degree offerings, professional accreditation, jointly offered degrees, part-time and evening/weekend programs, postbaccal...
Global Perspectives in Marketing for the 21st Century
This volume includes the full proceedings from the 1999 World Marketing Congress held in Qawra, Malta with the theme Global Perspectives in Marketing for the 21st Century. The focus of the conference and the enclosed papers is on marketing thought and practices from a global perspective. This volume resents papers on various topics including marketing management, marketing strategy, and consumer behavior. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research and practice. Among its services to members and the community at large, the Academy offers confe...
