Introduction to Robust Estimation and Hypothesis Testing

Produk Detail:
  • Author : Rand R. Wilcox
  • Publisher : Academic Press
  • Pages : 690 pages
  • ISBN : 0123869838
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Introduction to Robust Estimation and Hypothesis Testing

Download or Read online Introduction to Robust Estimation and Hypothesis Testing full in PDF, ePub and kindle. this book written by Rand R. Wilcox and published by Academic Press which was released on 23 September 2021 with total page 690 pages. We cannot guarantee that Introduction to Robust Estimation and Hypothesis Testing book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. "This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--

Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing
  • Author : Rand R. Wilcox
  • Publisher : Academic Press
  • Release : 23 September 2021
GET THIS BOOK Introduction to Robust Estimation and Hypothesis Testing

"This book focuses on the practical aspects of modern and robust statistical methods. The increased accuracy and power of modern methods, versus conventional approaches to the analysis of variance (ANOVA) and regression, is remarkable. Through a combination of theoretical developments, improved and more flexible statistical methods, and the power of the computer, it is now possible to address problems with standard methods that seemed insurmountable only a few years ago"--

Introduction to Robust Estimation and Hypothesis Testing 3rd Edition

Introduction to Robust Estimation and Hypothesis Testing  3rd Edition
  • Author : Rand Wilcox
  • Publisher : Unknown
  • Release : 23 September 2021
GET THIS BOOK Introduction to Robust Estimation and Hypothesis Testing 3rd Edition

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform

Introduction to Robust Estimation and Hypothesis Testing

Introduction to Robust Estimation and Hypothesis Testing
  • Author : Rand R. Wilcox
  • Publisher : Academic Press
  • Release : 05 January 2005
GET THIS BOOK Introduction to Robust Estimation and Hypothesis Testing

This revised book provides a thorough explanation of the foundation of robust methods, incorporating the latest updates on R and S-Plus, robust ANOVA (Analysis of Variance) and regression. It guides advanced students and other professionals through the basic strategies used for developing practical solutions to problems, and provides a brief background on the foundations of modern methods, placing the new methods in historical context. Author Rand Wilcox includes chapter exercises and many real-world examples that illustrate how various methods perform

Robust Estimation and Testing

Robust Estimation and Testing
  • Author : Robert G. Staudte,Simon J. Sheather
  • Publisher : John Wiley & Sons
  • Release : 15 September 2011
GET THIS BOOK Robust Estimation and Testing

An introduction to the theory and methods of robust statistics, providing students with practical methods for carrying out robust procedures in a variety of statistical contexts and explaining the advantages of these procedures. In addition, the text develops techniques and concepts likely to be useful in the future analysis of new statistical models and procedures. Emphasizing the concepts of breakdown point and influence functon of an estimator, it demonstrates the technique of expressing an estimator as a descriptive measure from

Real Data Analysis

Real Data Analysis
  • Author : Shlomo S. Sawilowsky
  • Publisher : Information Age Pub Incorporated
  • Release : 23 September 2021
GET THIS BOOK Real Data Analysis

The invited authors of this edited volume have been prolific in the arena of Real Data Analysis (RDA) as it applies to the social and behavioral sciences, especially in the disciplines of education and psychology. Combined, this brain trust represents 3,247 articles in refereed journals, 127 books published, US $45.3 Million in extramural research funding, 34 teaching and 92 research awards, serve(d) as Editor/Assistant Editor/Editorial Board Member for 95 peer reviewed journals, and provide( d) ad hoc reviews for 362 journals. Their enormous footprint

Handbook of Parametric and Nonparametric Statistical Procedures

Handbook of Parametric and Nonparametric Statistical Procedures
  • Author : David Sheskin
  • Publisher : Chapman and Hall/CRC
  • Release : 19 January 2007
GET THIS BOOK Handbook of Parametric and Nonparametric Statistical Procedures

With more than 500 pages of new material, the Handbook of Parametric and Nonparametric Statistical Procedures, Fourth Edition carries on the esteemed tradition of the previous editions, providing up-to-date, in-depth coverage of now more than 160 statistical procedures. The book also discusses both theoretical and practical statistical topics, such as experimental design, experimental control, and statistical analysis. Eliminating the need to search across numerous books, this handbook provides you with everything you need to know about parametric and nonparametric statistical procedures. It

Introduction to Linear Regression Analysis

Introduction to Linear Regression Analysis
  • Author : Douglas C. Montgomery,Jeffrey Vining,Elizabeth A. Peck,G. Geoffrey Vining,Douglas C. Vining
  • Publisher : Wiley-Interscience
  • Release : 16 April 2001
GET THIS BOOK Introduction to Linear Regression Analysis

A comprehensive and thoroughly up-to-date look at regression analysis-still the most widely used technique in statistics today As basic to statistics as the Pythagorean theorem is to geometry, regression analysis is a statistical technique for investigating and modeling the relationship between variables. With far-reaching applications in almost every field, regression analysis is used in engineering, the physical and chemical sciences, economics, management, life and biological sciences, and the social sciences. Clearly balancing theory with applications, Introduction to Linear Regression Analysis