Regression Analysis

To succeed in data science you need some math proficiency. But not just any math. This common-sense guide provides a clear, plain English survey of the math you'll need in data science, including probability, statistics, hypothesis testing, linear...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781735431185Author FrostFormat PaperbackPage Count 356Imprint Statistics by Jim PublishingPublisher Statistics by Jim Publishing

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype?...

Continue your statistics journey with this all-encompassing reference Completed Statistics through standard deviations, confidence intervals, and hypothesis testing? Then you're ready for the next step: Statistics II. And there's no better way to tackle...

Practice your way to a higher statistics score The adage that "practice makes perfect" is never truer than with math problems. Statistics Workbook For Dummies with Online Practice provides succinct content reviews for every topic, with plenty of...

Making good decisions under conditions of uncertainty - which is the norm - requires a sound appreciation of the way random chance works. As analysis and modelling of most aspects of the world, and all measurement, are necessarily imprecise and involve...

In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new...

A new edition of the definitive guide to logistic regression modeling for health science and other applications This thoroughly expanded Third Edition provides an easily accessible introduction to the logistic regression (LR) model and highlights the...

The focus of this text is placed on designing General Linear Models (regression models) to test research hypotheses. The authors illustrate and discuss General Linear Models specifically designed to statistically test research hypotheses that deal with...

"Over the years, I have had the opportunity to teach several regression courses, and I cannot think of a better undergraduate text than this one."-The American Statistician "The book is well written and has many exercises. It can serve as a very good...

Concise, mathematically clear, and comprehensive treatment of the subject. * Expanded coverage of diagnostics and methods of model fitting. * Requires no specialized knowledge beyond a good grasp of matrix algebra and some acquaintance with straight-line...

This book presents an easy-to-grasp introduction to nonparametric regression. This book's straightforward, step-by-step approach provides an excellent introduction to the field for novices of nonparametric regression. "Introduction to Nonparametric...

Presenting information on logistic regression models, this work explains difficult concepts through illustrative examples. This is a solutions manual to accompany applied Logistic Regression, 2nd Edition.About the AuthorDavid W. Hosmer Jr. and Stanley...

WILEY-INTERSCIENCE PAPERBACK SERIES The Wiley-Interscience Paperback Series 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...

Interpreting and Visualizing Regression Models Using Stata, Second Edition provides clear and simple examples illustrating how to interpret and visualize a wide variety of regression models. Including over 200 figures, the book illustrates linear models...

Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of experiments, and optimization. Experimentation through...

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781916279193Author James V StoneFormat PaperbackPage Count 128Imprint James V StonePublisher James V StoneWeight(grams) 181gDimensions(mm) 229mm * 152mm *...

Highly recommended by JASA, Technometrics, and other leading statistical journals, the first two editions of this bestseller showed how to easily perform complex linear mixed model (LMM) analyses via a variety of software programs. Linear Mixed Models: A...

A guide to the implementation and interpretation of Quantile Regression models This book explores the theory and numerous applications of quantile regression, offering empirical data analysis as well as the software tools to implement the methods. The...

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability...

This thoroughly practical and engaging textbook is designed to equip students with the skills needed to undertake sound regression analysis without requiring high-level math.Regression Analysis covers the concepts needed to design optimal regression...

Praise for the Second Edition "This book should be an essential part of the personal library of every practicing statistician."-Technometrics Thoroughly revised and updated, the new edition of Nonparametric Statistical Methods includes additional...

Model-based clustering and classification methods provide a systematic statistical approach to clustering, classification, and density estimation via mixture modeling. The model-based framework allows the problems of choosing or developing an appropriate...

Praise for the Fourth Edition: "This book is . . . an excellent source of examples for regression analysis. It has been and still is readily readable and understandable." -Journal of the American Statistical Association Regression analysis is a...

Building on the Handbook of Regression Analysis and Regression Analysis by Example, the authors' thorough treatments of "classic" regression analysis, this book covers two important and more advanced topics of time-to-event survival data and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781118644614Author A. K. Md. Ehsanes SalehFormat HardbackPage Count 384Imprint John Wiley & Sons IncPublisher John Wiley & Sons Inc

Surrogates: a graduate textbook, or professional handbook, on topics at the interface between machine learning, spatial statistics, computer simulation, meta-modeling (i.e., emulation), design of experiments, and optimization. Experimentation through...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781916279179Author James V StoneFormat PaperbackPage Count 140Imprint James V StonePublisher Sebtel PressWeight(grams) 195g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780615324616Author Paul MathewsFormat PaperbackPage Count 338Imprint Mathews Malnar and Bailey, Inc.Publisher Mathews Malnar and Bailey, Inc.Weight(grams)...

Praise for the Third Edition "...this is an excellent book which could easily be used as a course text..." -International Statistical Institute The Fourth Edition of Applied Linear Regression provides a thorough update of the basic theory and methodology...

Fundamentals of Mathematical Statistics is meant for a standard one-semester advanced undergraduate or graduate-level course in Mathematical Statistics. It covers all the key topics-statistical models, linear normal models, exponential families,...

Learn how to calculate your chances with easy-to-understand explanations of probability Probability—the likelihood or chance of an event occurring—is an important branch of mathematics used in business and economics, finance, engineering, physics, and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781599946412Author D. Allison PaulFormat PaperbackPage Count 348Imprint SAS PublishingPublisher SAS PublishingWeight(grams) 784g

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9798223254966Author Editor IjsmiFormat PaperbackPage Count 130Imprint IjsmiPublisher IjsmiWeight(grams) 172g

The book starts with a range of examples and develops techniques progressively, starting with standard least squares prediction of a single variable from another and moving onto shrinkage techniques for multiple variables. Chapters 6 and 7 refer mostly...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789811490507Author Arvind PandeyFormat PaperbackPage Count 124Imprint Bentham Science PublishersPublisher Bentham Science PublishersWeight(grams) 178g

Spatial predictive modeling (SPM) is an emerging discipline in applied sciences, playing a key role in the generation of spatial predictions in various disciplines. SPM refers to preparing relevant data, developing optimal predictive models based on...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781946878083Author Elisabeth H KnowltonFormat PaperbackPage Count 160Imprint Adventures in Education, Inc.Publisher Adventures in Education, Inc...

The first book to discuss robust aspects of nonlinear regression-with applications using R software Robust Nonlinear Regression: with Applications using R covers a variety of theories and applications of nonlinear robust regression. It discusses both...