Analysis of Ordinal Categorical Data Analysis of Ordinal Categorical Data
Wiley Series in Probability and Statistics

Analysis of Ordinal Categorical Data

    • 134,99 €
    • 134,99 €

Publisher Description

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as diverse as sociology, public health, ecology, marketing, and pharmacy. Analysis of Ordinal Categorical Data, Second Edition provides an introduction to basic descriptive and inferential methods for categorical data, giving thorough coverage of new developments and recent methods. Special emphasis is placed on interpretation and application of methods including an integrated comparison of the available strategies for analyzing ordinal data. Practitioners of statistics in government, industry (particularly pharmaceutical), and academia will want this new edition.

GENRE
Science & Nature
RELEASED
2012
6 July
LANGUAGE
EN
English
LENGTH
424
Pages
PUBLISHER
Wiley
SIZE
16.1
MB

More Books by Alan Agresti

Foundations of Statistics for Data Scientists Foundations of Statistics for Data Scientists
2021
An Introduction to Categorical Data Analysis An Introduction to Categorical Data Analysis
2018
Foundations of Linear and Generalized Linear Models Foundations of Linear and Generalized Linear Models
2015
Categorical Data Analysis Categorical Data Analysis
2013
Strength in Numbers: The Rising of Academic Statistics Departments in the U. S. Strength in Numbers: The Rising of Academic Statistics Departments in the U. S.
2012

Other Books in This Series

An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA An Introduction to Cochran-Mantel-Haenszel Testing and Nonparametric ANOVA
2023
Nonparametric Statistics with Applications to Science and Engineering with R Nonparametric Statistics with Applications to Science and Engineering with R
2022
Pricing Insurance Risk Pricing Insurance Risk
2022
Design of Experiments for Reliability Achievement Design of Experiments for Reliability Achievement
2022
Spatial Analysis Spatial Analysis
2022
Statistical Methods for Reliability Data Statistical Methods for Reliability Data
2022