Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences) - Image 1

Price loading...

CRC Press Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Name: Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)
Brand: CRC Press

Methodology

Price History & Forecast

No Price Data Available

Price history will appear here once data is collected from Amazon.

Price Distribution

No price data available for histogram

Description

Drawing on the authors’ extensive research in the analysis of categorical longitudinal data, Latent Markov Models for Longitudinal Data focuses on the formulation of latent Markov models and the practical use of these models. Numerous examples illustrate how latent Markov models are used in economics, education, sociology, and other fields. The R and MATLAB® routines used for the examples are available on the authors’ website. The book provides you with the essential background on latent variable models, particularly the latent class model. It discusses how the Markov chain model and the latent class model represent a useful paradigm for latent Markov models. The authors illustrate the assumptions of the basic version of the latent Markov model and introduce maximum likelihood estimation through the Expectation-Maximization algorithm. They also cover constrained versions of the basic latent Markov model, describe the inclusion of the individual covariates, and address the random effects and multilevel extensions of the model. After covering advanced topics, the book concludes with a discussion on Bayesian inference as an alternative to maximum likelihood inference. As longitudinal data become increasingly relevant in many fields, researchers must rely on specific statistical and econometric models tailored to their application. A complete overview of latent Markov models, this book demonstrates how to use the models in three types of analysis: transition analysis with measurement errors, analyses that consider unobserved heterogeneity, and finding clusters of units and studying the transition between the clusters.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1439817081
Category: Books > Subjects > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology
Domain: Amazon UK
Release Date: 19 November 2012
Listed Since: 14 August 2009

Barcode

No barcode data available

CRC Press Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Price History & Forecast

No Price Data Available

Price Distribution

Description

Product Specifications

Barcode

Similar Products You Might Like

Latent Markov Models for Longitudinal Data (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models (Chapman & Hall/CRC Interdisciplinary Statistics)

Longitudinal Research with Latent Variables

CRC Press Longitudinal Data Analysis - Statistical Methods Book

Antedependence Models for Longitudinal Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Antedependence Models for Longitudinal Data - CRC Press

Mixed Effects Models for Complex Data (Chapman & Hall/CRC Monographs on Statistics & Applied Probab)

Logistic Regression Models (Chapman & Hall/CRC Texts in Statistical Science)

Multilevel Modeling Using R (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Marginal Models: For Dependent, Clustered, and Longitudinal Categorical Data (Statistics for Social and Behavioral Sciences)

Analyzing Longitudinal Clinical Trial Data: A Practical Guide (Chapman & Hall/CRC Biostatistics Series)

CRC Press Mixed Effects Models for Complex Data - Book

Longitudinal Research with Latent Variables

Routledge - Latent Variable Modeling Using R Guide

CRC Press Nonparametric Models for Longitudinal Data in R

Latent Variable Modeling with R - Routledge Statistical Guide

Logistic Regression Models (Chapman & Hall/CRC Texts in Statistical Science)

Modern Applied Regressions: Bayesian and Frequentist Analysis of Categorical and Limited Response Variables with R and Stan (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)

Joint Modeling of Longitudinal and Time-to-Event Data (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Hidden Markov Models for Time Series: An Introduction Using R, Second Edition (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

Missing Data in Longitudinal Studies: Strategies for Bayesian Modeling and Sensitivity Analysis: 109 (Chapman & Hall/CRC Monographs on Statistics and Applied Probability)

An Introduction to Latent Class Analysis: Methods and Applications: 14 (Behaviormetrics: Quantitative Approaches to Human Behavior, 14)

Statistical Methods for Categorical Data Analysis

Generalized Linear Models for Categorical and Continuous Limited Dependent Variables: 11 (Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences)