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 an authoritative author team. This reference includes the most recent application developments in using these methods and models. Systematic presentation with interesting historical context and coverage of the fundamentals of the subject Presents modern model validity methods, graphical techniques, and computer-intensive methods Recent research and a variety of open problems Interesting real-life examples for practitioners

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  • Author : N. Balakrishnan
  • Publisher : Academic Press
  • Pages : 256 pages
  • ISBN : 0123977835
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKChi Squared Goodness of Fit Tests with Applications

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 BOOKChi-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

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 BOOKChi-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 for Censored Data

Chi-squared Goodness-of-fit Tests for Censored Data
  • Author : Mikhail S. Nikulin,Ekaterina V. Chimitova
  • Publisher : John Wiley & Sons
  • Release : 07 August 2017
GET THIS BOOKChi-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

Econometric Advances in Spatial Modelling and Methodology

Econometric Advances in Spatial Modelling and Methodology
  • Author : Daniel A. Griffith,C. Amrhein,Jean-Marie Huriót
  • Publisher : Springer Science & Business Media
  • Release : 31 March 1998
GET THIS BOOKEconometric Advances in Spatial Modelling and Methodology

The purpose of models is not to fit the data but to sharpen the questions. S. Karlin, 11th R. A. Fisher Memorial Lecture, Royal Society, 20 April 1983 We are proud to offer this volume in honour of the remarkable career of the Father of Spatial Econometrics, Professor Jean Paelinck, presently of the Tinbergen Institute, Rotterdam. Not one to model solely for the sake of modelling, the above quotation nicely captures Professor Paelinck's unceasing quest for the best question for which an

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 BOOKHandbook 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

Goodness-of-Fit Statistics for Discrete Multivariate Data

Goodness-of-Fit Statistics for Discrete Multivariate Data
  • Author : Timothy R.C. Read,Noel A.C. Cressie
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKGoodness-of-Fit Statistics for Discrete Multivariate Data

The statistical analysis of discrete multivariate data has received a great deal of attention in the statistics literature over the past two decades. The develop ment ofappropriate models is the common theme of books such as Cox (1970), Haberman (1974, 1978, 1979), Bishop et al. (1975), Gokhale and Kullback (1978), Upton (1978), Fienberg (1980), Plackett (1981), Agresti (1984), Goodman (1984), and Freeman (1987). The objective of our book differs from those listed above. Rather than concentrating on model building, our intention is to describe and assess the goodness-of-fit statistics used in the

Uncertainty And Optimality: Probability, Statistics And Operations Research

Uncertainty And Optimality: Probability, Statistics And Operations Research
  • Author : Jagadis Chandra Misra
  • Publisher : World Scientific
  • Release : 05 November 2002
GET THIS BOOKUncertainty And Optimality: Probability, Statistics And Operations Research

This book deals with different modern topics in probability, statistics and operations research. It has been written lucidly in a novel way. Wherever necessary, the theory is explained in great detail, with suitable illustrations. Numerous references are given, so that young researchers who want to start their work in a particular area will benefit immensely from the book.The contributors are distinguished statisticians and operations research experts from all over the world.

Advances in Distribution Theory, Order Statistics, and Inference

Advances in Distribution Theory, Order Statistics, and Inference
  • Author : N. Balakrishnan,Enrique Castillo,Jose-Maria Sarabia Alegria
  • Publisher : Springer Science & Business Media
  • Release : 23 October 2007
GET THIS BOOKAdvances in Distribution Theory, Order Statistics, and Inference

The purpose of this book is to honor the fundamental contributions to many different areas of statistics made by Barry Arnold. Distinguished and active researchers highlight some of the recent developments in statistical distribution theory, order statistics and their properties, as well as inferential methods associated with them. Applications to survival analysis, reliability, quality control, and environmental problems are emphasized.

Mathematical Statistics with Applications

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

Survey Sampling Theory and Applications

Survey Sampling Theory and Applications
  • Author : Raghunath Arnab
  • Publisher : Academic Press
  • Release : 08 March 2017
GET THIS BOOKSurvey Sampling Theory and Applications

Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying

Recent Advances in Stochastic Modeling and Data Analysis

Recent Advances in Stochastic Modeling and Data Analysis
  • Author : Christos H. Skiadas
  • Publisher : World Scientific
  • Release : 07 August 2022
GET THIS BOOKRecent Advances in Stochastic Modeling and Data Analysis

This volume presents the most recent applied and methodological issues in stochastic modeling and data analysis. The contributions cover various fields such as stochastic processes and applications, data analysis methods and techniques, Bayesian methods, biostatistics, econometrics, sampling, linear and nonlinear models, networks and queues, survival analysis, and time series. The volume presents new results with potential for solving real-life problems and provides novel methods for solving these problems by analyzing the relevant data. The use of recent advances in different

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 BOOKGoodness-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