Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data analysis to improve the performance of the testing procedure. Demonstrates how exact inference can be used to analyze data in 2 by 2 tables Discusses the analysis of data in 2 by k tables using exact inference Explains how exact inference can be used in genetics

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  • Author : Guogen Shan
  • Publisher : Academic Press
  • Pages : 66 pages
  • ISBN : 0128039485
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKExact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data
  • Author : Guogen Shan
  • Publisher : Academic Press
  • Release : 22 January 2016
GET THIS BOOKExact Statistical Inference for Categorical Data

Exact Statistical Inference for Categorical Data discusses the way asymptotic approaches have been often used in practice to make statistical inference. This book introduces both conditional and unconditional exact approaches for the data in 2 by 2, or 2 by k contingency tables, and is an ideal reference for users who are interested in having the convenience of applying asymptotic approaches, with less computational time. In addition to the existing conditional exact inference, some efficient, unconditional exact approaches could be used in data

An Introduction to Categorical Data Analysis

An Introduction to Categorical Data Analysis
  • Author : Alan Agresti
  • Publisher : John Wiley & Sons
  • Release : 11 October 2018
GET THIS BOOKAn Introduction to Categorical Data Analysis

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new

Exact Statistical Methods for Data Analysis

Exact Statistical Methods for Data Analysis
  • Author : Samaradasa Weerahandi
  • Publisher : Springer Science & Business Media
  • Release : 01 December 2013
GET THIS BOOKExact Statistical Methods for Data Analysis

Now available in paperback, this book covers some recent developments in statistical inference. It provides methods applicable in problems involving nuisance parameters such as those encountered in comparing two exponential distributions or in ANOVA without the assumption of equal error variances. The generalized procedures are shown to be more powerful in detecting significant experimental results and in avoiding misleading conclusions.

COMPSTAT 2006 - Proceedings in Computational Statistics

COMPSTAT 2006 - Proceedings in Computational Statistics
  • Author : Alfredo Rizzi,Maurizio Vichi
  • Publisher : Springer Science & Business Media
  • Release : 03 December 2007
GET THIS BOOKCOMPSTAT 2006 - Proceedings in Computational Statistics

International Association for Statistical Computing The International Association for Statistical Computing (IASC) is a Section of the International Statistical Institute. The objectives of the Association are to foster world-wide interest in e?ective statistical computing and to - change technical knowledge through international contacts and meetings - tween statisticians, computing professionals, organizations, institutions, g- ernments and the general public. The IASC organises its own Conferences, IASC World Conferences, and COMPSTAT in Europe. The 17th Conference of ERS-IASC, the biennial meeting

Statistical Inference Via Data Science

Statistical Inference Via Data Science
  • Author : Chester Ismay,Albert Young-Sun Kim
  • Publisher : CRC Press
  • Release : 01 December 2019
GET THIS BOOKStatistical Inference Via Data Science

"Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals,

Topics in Biostatistics

Topics in Biostatistics
  • Author : Walter T. Ambrosius
  • Publisher : Springer Science & Business Media
  • Release : 06 July 2007
GET THIS BOOKTopics in Biostatistics

Designed for working scientists, offers a survey of basic biostatistical methods and provides an introduction to more complicated statistical methods requiring collaboration with a biostatician.

Systematic Reviews in Health Care

Systematic Reviews in Health Care
  • Author : Matthias Egger,George Davey-Smith,Douglas Altman
  • Publisher : John Wiley & Sons
  • Release : 15 April 2008
GET THIS BOOKSystematic Reviews in Health Care

The second edition of this best-selling book has been thoroughly revised and expanded to reflect the significant changes and advances made in systematic reviewing. New features include discussion on the rationale, meta-analyses of prognostic and diagnostic studies and software, and the use of systematic reviews in practice.

Statistical Strategies for Small Sample Research

Statistical Strategies for Small Sample Research
  • Author : Rick H. Hoyle
  • Publisher : SAGE
  • Release : 30 March 1999
GET THIS BOOKStatistical Strategies for Small Sample Research

This book provides encouragement and strategies for researchers who routinely address research questions using data from small samples. Chapters cover such topics as: using multiple imputation software with small sets; computing and combining effect sizes; bootstrap hypothesis testing; application of latent variable modeling; time-series data from small numbers of individuals; and sample size, reliability and tests of statistical mediation.

Longitudinal Categorical Data Analysis

Longitudinal Categorical Data Analysis
  • Author : Brajendra C. Sutradhar
  • Publisher : Springer
  • Release : 30 October 2014
GET THIS BOOKLongitudinal Categorical Data Analysis

This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses. This book is a natural generalization of the longitudinal binary data analysis to the multinomial data setup with more than two categories. Thus, unlike the existing books on cross-sectional categorical data analysis using log linear models, this book uses multinomial probability models both in cross-sectional and longitudinal setups. A theoretical foundation is provided for the analysis of

Categorical Data Analysis

Categorical Data Analysis
  • Author : Alan Agresti
  • Publisher : John Wiley & Sons
  • Release : 08 April 2013
GET THIS BOOKCategorical Data Analysis

Praise for the Second Edition "A must-have book for anyone expecting to do research and/orapplications in categorical data analysis." —Statistics in Medicine "It is a total delight reading this book." —Pharmaceutical Research "If you do any analysis of categorical data, this is anessential desktop reference." —Technometrics The use of statistical methods for analyzing categorical datahas increased dramatically, particularly in the biomedical, socialsciences, and financial industries. Responding to new developments,this book offers a comprehensive treatment of the most importantmethods

Analyzing Categorical Data

Analyzing Categorical Data
  • Author : Jeffrey S. Simonoff
  • Publisher : Springer Science & Business Media
  • Release : 05 June 2013
GET THIS BOOKAnalyzing Categorical Data

Categorical data arise often in many fields, including biometrics, economics, management, manufacturing, marketing, psychology, and sociology. This book provides an introduction to the analysis of such data. The coverage is broad, using the loglinear Poisson regression model and logistic binomial regression models as the primary engines for methodology. Topics covered include count regression models, such as Poisson, negative binomial, zero-inflated, and zero-truncated models; loglinear models for two-dimensional and multidimensional contingency tables, including for square tables and tables with ordered categories;

A Primer of Permutation Statistical Methods

A Primer of Permutation Statistical Methods
  • Author : Kenneth J. Berry,Janis E. Johnston,Paul W. Mielke, Jr.
  • Publisher : Springer
  • Release : 02 August 2019
GET THIS BOOKA Primer of Permutation Statistical Methods

The primary purpose of this textbook is to introduce the reader to a wide variety of elementary permutation statistical methods. Permutation methods are optimal for small data sets and non-random samples, and are free of distributional assumptions. The book follows the conventional structure of most introductory books on statistical methods, and features chapters on central tendency and variability, one-sample tests, two-sample tests, matched-pairs tests, one-way fully-randomized analysis of variance, one-way randomized-blocks analysis of variance, simple regression and correlation, and the

Exact Analysis of Discrete Data

Exact Analysis of Discrete Data
  • Author : Karim F. Hirji
  • Publisher : CRC Press
  • Release : 18 November 2005
GET THIS BOOKExact Analysis of Discrete Data

Researchers in fields ranging from biology and medicine to the social sciences, law, and economics regularly encounter variables that are discrete or categorical in nature. While there is no dearth of books on the analysis and interpretation of such data, these generally focus on large sample methods. When sample sizes are not large or the data are