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CRC Press Antedependence Models for Longitudinal Data - Statistics Guide

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Description

Antedependence Models for Longitudinal Data is the first comprehensive book dedicated to this important class of longitudinal statistical models. Designed for researchers and statisticians working with time-series data, this Chapman & Hall/CRC monograph systematically gathers antedependence methodology scattered across academic literature into one accessible resource. The book covers both unstructured and structured antedependence models with detailed examples throughout, making complex serial correlation analysis practical and understandable. It includes essential statistical inference procedures and techniques for handling longitudinal datasets that exhibit temporal dependencies. Published by Chapman and Hall/CRC as part of their respected Monographs on Statistics and Applied Probability series, this guide equips practitioners with the theoretical foundation and practical tools needed to model real-world longitudinal data effectively.

Key Features

Covers unstructured and structured antedependence models designed specifically for longitudinal data analysis with serial correlation.

Gathers scattered research results into one systematic resource within the Chapman & Hall/CRC Monographs series.

Includes numerous worked examples demonstrating antedependence model applications across diverse research contexts.

Presents statistical inference procedures essential for conducting rigorous analysis with antedependence models on longitudinal datasets.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
19 August 2009
Listed Since
20 July 2007

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