Share

Applying Contemporary Statistical Techniques

2003-01-16 Mathematics
Download Applying Contemporary Statistical Techniques PDF Online Free

Author :
Release : 2003-01-16
Genre : Mathematics
Kind : eBook
Book Rating : 515/5 ( reviews)

GET EBOOK


Book Synopsis Applying Contemporary Statistical Techniques by : Rand R. Wilcox

Download or read book Applying Contemporary Statistical Techniques written by Rand R. Wilcox. This book was released on 2003-01-16. Available in PDF, EPUB and Kindle. Book excerpt: Applying Contemporary Statistical Techniques explains why traditional statistical methods are often inadequate or outdated when applied to modern problems. Wilcox demonstrates how new and more powerful techniques address these problems far more effectively, making these modern robust methods understandable, practical, and easily accessible. * Assumes no previous training in statistics * Explains how and why modern statistical methods provide more accurate results than conventional methods * Covers the latest developments on multiple comparisons * Includes recent advances in risk-based methods * Features many illustrations and examples using data from real studies * Describes and illustrates easy-to-use s-plus functions for applying cutting-edge techniques * Covers many contemporary ANOVA (analysis of variance) and regression methods not found in other books

Understanding and Applying Basic Statistical Methods Using R

2016-05-16 Social Science
Download Understanding and Applying Basic Statistical Methods Using R PDF Online Free

Author :
Release : 2016-05-16
Genre : Social Science
Kind : eBook
Book Rating : 415/5 ( reviews)

GET EBOOK


Book Synopsis Understanding and Applying Basic Statistical Methods Using R by : Rand R. Wilcox

Download or read book Understanding and Applying Basic Statistical Methods Using R written by Rand R. Wilcox. This book was released on 2016-05-16. Available in PDF, EPUB and Kindle. Book excerpt: Features a straightforward and concise resource for introductory statistical concepts, methods, and techniques using R Understanding and Applying Basic Statistical Methods Using R uniquely bridges the gap between advances in the statistical literature and methods routinely used by non-statisticians. Providing a conceptual basis for understanding the relative merits and applications of these methods, the book features modern insights and advances relevant to basic techniques in terms of dealing with non-normality, outliers, heteroscedasticity (unequal variances), and curvature. Featuring a guide to R, the book uses R programming to explore introductory statistical concepts and standard methods for dealing with known problems associated with classic techniques. Thoroughly class-room tested, the book includes sections that focus on either R programming or computational details to help the reader become acquainted with basic concepts and principles essential in terms of understanding and applying the many methods currently available. Covering relevant material from a wide range of disciplines, Understanding and Applying Basic Statistical Methods Using R also includes: Numerous illustrations and exercises that use data to demonstrate the practical importance of multiple perspectives Discussions on common mistakes such as eliminating outliers and applying standard methods based on means using the remaining data Detailed coverage on R programming with descriptions on how to apply both classic and more modern methods using R A companion website with the data and solutions to all of the exercises Understanding and Applying Basic Statistical Methods Using R is an ideal textbook for an undergraduate and graduate-level statistics courses in the science and/or social science departments. The book can also serve as a reference for professional statisticians and other practitioners looking to better understand modern statistical methods as well as R programming. Rand R. Wilcox, PhD, is Professor in the Department of Psychology at the University of Southern California, Fellow of the Association for Psychological Science, and an associate editor for four statistics journals. He is also a member of the International Statistical Institute. The author of more than 320 articles published in a variety of statistical journals, he is also the author eleven other books on statistics. Dr. Wilcox is creator of WRS (Wilcox’ Robust Statistics), which is an R package for performing robust statistical methods. His main research interest includes statistical methods, particularly robust methods for comparing groups and studying associations.

Fundamentals of Modern Statistical Methods

2013-11-21 Mathematics
Download Fundamentals of Modern Statistical Methods PDF Online Free

Author :
Release : 2013-11-21
Genre : Mathematics
Kind : eBook
Book Rating : 227/5 ( reviews)

GET EBOOK


Book Synopsis Fundamentals of Modern Statistical Methods by : Rand R. Wilcox

Download or read book Fundamentals of Modern Statistical Methods written by Rand R. Wilcox. This book was released on 2013-11-21. Available in PDF, EPUB and Kindle. Book excerpt: Conventional statistical methods routinely miss differences among groups or associations among variables. These differences are detected by more modern techniques. Hundreds of journal articles have described the reasons why standard techniques are unsatisfactory. Nonetheless, simple and intuitive explanations are generally unavailable. Without assuming any prior training in statistics, Part I of this book describes basic statistical principles from a point of view that makes their shortcomings easy to understand. Part II describes modern methods that address the problems covered in Part I. Using data from actual studies, many examples are included.

Modern Statistics with R

2024-08-20 Mathematics
Download Modern Statistics with R PDF Online Free

Author :
Release : 2024-08-20
Genre : Mathematics
Kind : eBook
Book Rating : 440/5 ( reviews)

GET EBOOK


Book Synopsis Modern Statistics with R by : Måns Thulin

Download or read book Modern Statistics with R written by Måns Thulin. This book was released on 2024-08-20. Available in PDF, EPUB and Kindle. Book excerpt: The past decades have transformed the world of statistical data analysis, with new methods, new types of data, and new computational tools. Modern Statistics with R introduces you to key parts of this modern statistical toolkit. It teaches you: Data wrangling - importing, formatting, reshaping, merging, and filtering data in R. Exploratory data analysis - using visualisations and multivariate techniques to explore datasets. Statistical inference - modern methods for testing hypotheses and computing confidence intervals. Predictive modelling - regression models and machine learning methods for prediction, classification, and forecasting. Simulation - using simulation techniques for sample size computations and evaluations of statistical methods. Ethics in statistics - ethical issues and good statistical practice. R programming - writing code that is fast, readable, and (hopefully!) free from bugs. No prior programming experience is necessary. Clear explanations and examples are provided to accommodate readers at all levels of familiarity with statistical principles and coding practices. A basic understanding of probability theory can enhance comprehension of certain concepts discussed within this book. In addition to plenty of examples, the book includes more than 200 exercises, with fully worked solutions available at: www.modernstatisticswithr.com.

Contemporary Statistical Models for the Plant and Soil Sciences

2001-11-13 Mathematics
Download Contemporary Statistical Models for the Plant and Soil Sciences PDF Online Free

Author :
Release : 2001-11-13
Genre : Mathematics
Kind : eBook
Book Rating : 197/5 ( reviews)

GET EBOOK


Book Synopsis Contemporary Statistical Models for the Plant and Soil Sciences by : Oliver Schabenberger

Download or read book Contemporary Statistical Models for the Plant and Soil Sciences written by Oliver Schabenberger. This book was released on 2001-11-13. Available in PDF, EPUB and Kindle. Book excerpt: Despite its many origins in agronomic problems, statistics today is often unrecognizable in this context. Numerous recent methodological approaches and advances originated in other subject-matter areas and agronomists frequently find it difficult to see their immediate relation to questions that their disciplines raise. On the other hand, statisticians often fail to recognize the riches of challenging data analytical problems contemporary plant and soil science provides. The first book to integrate modern statistics with crop, plant and soil science, Contemporary Statistical Models for the Plant and Soil Sciences bridges this gap. The breadth and depth of topics covered is unusual. Each of the main chapters could be a textbook in its own right on a particular class of data structures or models. The cogent presentation in one text allows research workers to apply modern statistical methods that otherwise are scattered across several specialized texts. The combination of theory and application orientation conveys ìwhyî a particular method works and ìhowî it is put in to practice. About the downloadable resources The accompanying downloadable resources are a key component of the book. For each of the main chapters additional sections of text are available that cover mathematical derivations, special topics, and supplementary applications. It supplies the data sets and SAS code for all applications and examples in the text, macros that the author developed, and SAS tutorials ranging from basic data manipulation to advanced programming techniques and publication quality graphics. Contemporary statistical models can not be appreciated to their full potential without a good understanding of theory. They also can not be applied to their full potential without the aid of statistical software. Contemporary Statistical Models for the Plant and Soil Science provides the essential mix of theory and applications of statistical methods pertinent to research in life sciences.

You may also like...