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Chi Squared Goodness of Fit Tests with Applications

Chi Squared Goodness of Fit Tests with Applications
  • Author : N. Balakrishnan
  • Publsiher : Academic Press
  • Release : 25 January 2013
  • ISBN : 0123977835
  • Pages : 256 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKChi Squared Goodness of Fit Tests with Applications

Summary:
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


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

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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

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Introductory Business Statistics

Introductory Business Statistics
  • Author : Alexander Holmes,Barbara Illowsky,Susan Dean
  • Publisher : Anonim
  • Release : 07 January 2018
GET THIS BOOKIntroductory Business Statistics

Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.

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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

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Introductory Statistics

Introductory Statistics
  • Author : Barbara Illowsky,Susan Dean
  • Publisher : Anonim
  • Release : 19 December 2017
GET THIS BOOKIntroductory Statistics

Introductory Statistics is designed for the one-semester, introduction to statistics course and is geared toward students majoring in fields other than math or engineering. This text assumes students have been exposed to intermediate algebra, and it focuses on the applications of statistical knowledge rather than the theory behind it. The foundation of this textbook is Collaborative Statistics, by Barbara Illowsky and Susan Dean. Additional topics, examples, and ample opportunities for practice have been added to each chapter. The development choices

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Mathematical and Statistical Models and Methods in Reliability

Mathematical and Statistical Models and Methods in Reliability
  • Author : V.V. Rykov,N. Balakrishnan,M.S. Nikulin
  • Publisher : Springer Science & Business Media
  • Release : 02 November 2010
GET THIS BOOKMathematical and Statistical Models and Methods in Reliability

The book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by renowned experts in the field of reliability, the contributions cover a wide range of applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. Mathematical and Statistical Models and Methods in Reliability is an excellent

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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

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Mathematical and Statistical Methods in Reliability

Mathematical and Statistical Methods in Reliability
  • Author : Bo H Lindqvist,Kjell A Doksum
  • Publisher : World Scientific
  • Release : 10 October 2003
GET THIS BOOKMathematical and Statistical Methods in Reliability

This book contains extended versions of 34 carefully selected and reviewed papers presented at the Third International Conference on Mathematical Methods in Reliability, held in Trondheim, Norway in 2002. It provides a broad overview of current research activities in reliability theory and its applications. There are chapters on reliability modelling, network and system reliability, reliability optimization, survival analysis, degradation and maintenance modelling, and software reliability. The authors are all leading experts in the field. A particular feature of the book is a

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Optimal Decision Making in Operations Research and Statistics

Optimal Decision Making in Operations Research and Statistics
  • Author : Irfan Ali,Leopoldo Eduardo Cárdenas-Barrón,Aquil Ahmed,Ali Akbar Shaikh
  • Publisher : CRC Press
  • Release : 30 November 2021
GET THIS BOOKOptimal Decision Making in Operations Research and Statistics

The book provides insights in the decision-making for implementing strategies in various spheres of real-world issues. It integrates optimal policies in various decision­making problems and serves as a reference for researchers and industrial practitioners. Furthermore, the book provides sound knowledge of modelling of real-world problems and solution procedure using the various optimisation and statistical techniques for making optimal decisions. The book is meant for teachers, students, researchers and industrialists who are working in the field of materials science, especially

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An Introduction to Statistical Concepts

An Introduction to Statistical Concepts
  • Author : Richard G Lomax,Debbie L. Hahs-Vaughn,Richard G. Lomax
  • Publisher : Routledge
  • Release : 03 February 2020
GET THIS BOOKAn Introduction to Statistical Concepts

The new edition of An Introduction to Statistical Concepts is designed to help students really understand statistical concepts, the situations in which they can be used, and how to apply them to data. Hahs-Vaughn and Lomax discuss the most popular, along with many of the lesser-known, procedures and models, whilst also exploring nonparametric procedures used when standard assumptions are violated. They provide in-depth coverage of testing assumptions and highlight several online tools for computing statistics (e.g., effect sizes and

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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

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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

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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.

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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

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