Chi squared Goodness of fit Tests for Censored Data

Produk Detail:
  • Author : Mikhail S. Nikulin
  • Publisher : John Wiley & Sons
  • Pages : 158 pages
  • ISBN : 1119427614
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Chi squared Goodness of fit Tests for Censored Data

Download or Read online Chi squared Goodness of fit Tests for Censored Data full in PDF, ePub and kindle. this book written by Mikhail S. Nikulin and published by John Wiley & Sons which was released on 06 July 2017 with total page 158 pages. We cannot guarantee that Chi squared Goodness of fit Tests for Censored Data 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 is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional hazards model and accelerated failure time model, which are widely used in reliability and survival analysis. Particular attention is paid to the choice of grouping intervals and simulations. This book covers recent innovations in the field as well as important results previously only published in Russian. Chi-squared tests are compared with other goodness-of-fit tests (such as the Cramer-von Mises-Smirnov, Anderson-Darling and Zhang tests) in terms of power when testing close competing hypotheses.

Chi squared Goodness of fit Tests for Censored Data

Chi squared Goodness of fit Tests for Censored Data
  • Author : Mikhail S. Nikulin,Ekaterina V. Chimitova
  • Publisher : John Wiley & Sons
  • Release : 06 July 2017
GET THIS BOOK Chi squared Goodness of fit Tests for Censored Data

This book is devoted to the problems of construction and application of chi-squared goodness-of-fit tests for complete and censored data. Classical chi-squared tests assume that unknown distribution parameters are estimated using grouped data, but in practice this assumption is often forgotten. In this book, we consider modified chi-squared tests, which do not suffer from such a drawback. The authors provide examples of chi-squared tests for various distributions widely used in practice, and also consider chi-squared tests for the parametric proportional

Chi Squared Goodness of Fit Tests with Applications

Chi Squared Goodness of Fit Tests with Applications
  • Author : N. Balakrishnan,Vassilly Voinov,M.S Nikulin
  • Publisher : Academic Press
  • Release : 25 January 2013
GET THIS BOOK Chi Squared Goodness of Fit Tests with Applications

Chi-Squared Goodness of Fit Tests with Applications provides a thorough and complete context for the theoretical basis and implementation of Pearson’s monumental contribution and its wide applicability for chi-squared goodness of fit tests. The book is ideal for researchers and scientists conducting statistical analysis in processing of experimental data as well as to students and practitioners with a good mathematical background who use statistical methods. The historical context, especially Chapter 7, provides great insight into importance of this subject with

A Guide to Chi Squared Testing

A Guide to Chi Squared Testing
  • Author : Priscilla E. Greenwood,Michael S. Nikulin
  • Publisher : John Wiley & Sons
  • Release : 05 April 1996
GET THIS BOOK A Guide to Chi Squared Testing

The first step-by-step guide to conducting successful Chi-squaredtests Chi-squared testing is one of the most commonly applied statisticaltechniques. It provides reliable answers for researchers in a widerange of fields, including engineering, manufacturing, finance,agriculture, and medicine. A Guide to Chi-Squared Testing brings readers up to date on recentinnovations and important material previously published only in theformer Soviet Union. Its clear, concise treatment and practicaladvice make this an ideal reference for all researchers andconsultants. Authors Priscilla E. Greenwood and Mikhail S.

Goodness of Fit Techniques

Goodness of Fit Techniques
  • Author : Ralph B. D'Agostino
  • Publisher : CRC Press
  • Release : 02 June 1986
GET THIS BOOK Goodness of Fit Techniques

Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction, and also collecting methods of testing for specific famous distributions, this useful reference is the first comprehensive review of the extensive literature on the subject. It surveysthe leading methods of testing fit . .. provides tables to make the tests available . .. assessesthe comparative merits of different test procedures . .. and supplies numerical examples to aidin understanding these techniques.Goodness-of-Fit Techniques shows how to apply the techniques . .. emphasizes testing for thethree major distributions,

Goodness of Fit Techniques

Goodness of Fit Techniques
  • Author : RalphB. D'Agostino
  • Publisher : Routledge
  • Release : 19 October 2017
GET THIS BOOK Goodness of Fit Techniques

Conveniently grouping methods by techniques, such as chi-squared and empirical distributionfunction , and also collecting methods of testing for specific famous distributions, this usefulreference is the fust comprehensive.review of the extensive literature on the subject. It surveysthe leading methods of testing fit . .. provides tables to make the tests available . .. assessesthe comparative merits of different test procedures . .. and supplies numerical examples to aidin understanding these techniques.Goodness-of-Fit Techniques shows how to apply the techniques . .. emphasizes testing for thethree major distributions, normal,

Lifetime Data Models in Reliability and Survival Analysis

Lifetime Data  Models in Reliability and Survival Analysis
  • Author : Nicholas P. Jewell,Alan C. Kimber,Mei-Ling Ting Lee,G. Alex Whitmore
  • Publisher : Springer Science & Business Media
  • Release : 17 April 2013
GET THIS BOOK Lifetime Data Models in Reliability and Survival Analysis

Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994

Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition

Handbook of Parametric and Nonparametric Statistical Procedures  Fifth Edition
  • Author : David J. Sheskin
  • Publisher : CRC Press
  • Release : 09 June 2020
GET THIS BOOK Handbook of Parametric and Nonparametric Statistical Procedures Fifth Edition

Following in the footsteps of its bestselling predecessors, the Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition provides researchers, teachers, and students with an all-inclusive reference on univariate, bivariate, and multivariate statistical procedures.New in the Fifth Edition:Substantial updates and new material th

Mathematical Statistics with Applications

Mathematical Statistics with Applications
  • Author : Kandethody M. Ramachandran,Chris P. Tsokos
  • Publisher : Academic Press
  • Release : 13 March 2009
GET THIS BOOK Mathematical Statistics with Applications

Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. Step-by-step procedure to solve real problems, making the topic more accessible Exercises blend theory and modern applications Practical, real-world chapter projects Provides an optional

The Probability Lifesaver

The Probability Lifesaver
  • Author : Steven J. Miller
  • Publisher : Princeton University Press
  • Release : 16 May 2017
GET THIS BOOK The Probability Lifesaver

The essential lifesaver for students who want to master probability For students learning probability, its numerous applications, techniques, and methods can seem intimidating and overwhelming. That's where The Probability Lifesaver steps in. Designed to serve as a complete stand-alone introduction to the subject or as a supplement for a course, this accessible and user-friendly study guide helps students comfortably navigate probability's terrain and achieve positive results. The Probability Lifesaver is based on a successful course that Steven Miller has taught

Mathematical Statistics and Probability Theory

Mathematical Statistics and Probability Theory
  • Author : Madan L. Puri,P. Révész,Wolfgang Wertz,P. Bauer,F. Konecny
  • Publisher : Springer Science & Business Media
  • Release : 11 November 2013
GET THIS BOOK Mathematical Statistics and Probability Theory

The past several years have seen the creation and extension of a very conclusive theory of statistics and probability. Many of the research workers who have been concerned with both probability and statistics felt the need for meetings that provide an opportunity for personal con tacts among scholars whose fields of specialization cover broad spectra in bothstatistics and probability: to discuss major open problems and new solutions, and to provide encouragement for further research through the lectures of carefully selected

Goodness of Fit Tests and Model Validity

Goodness of Fit Tests and Model Validity
  • Author : C. Huber-Carol,N. Balakrishnan,M. Nikulin,M. Mesbah
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOK Goodness of Fit Tests and Model Validity

The 37 expository articles in this volume provide broad coverage of important topics relating to the theory, methods, and applications of goodness-of-fit tests and model validity. The book is divided into eight parts, each of which presents topics written by expert researchers in their areas. Key features include: * state-of-the-art exposition of modern model validity methods, graphical techniques, and computer-intensive methods * systematic presentation with sufficient history and coverage of the fundamentals of the subject * exposure to recent research and a variety of

Essentials of Probability Theory for Statisticians

Essentials of Probability Theory for Statisticians
  • Author : Michael A. Proschan,Pamela A. Shaw
  • Publisher : CRC Press
  • Release : 03 September 2018
GET THIS BOOK Essentials of Probability Theory for Statisticians

Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory, with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics, such as outlier tests, monitoring clinical trials, and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability, the