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A Practical Guide to Age-Period-Cohort Analysis - The Identification Problem and Beyond (Hardcover) Loot Price: R2,219
Discovery Miles 22 190
A Practical Guide to Age-Period-Cohort Analysis - The Identification Problem and Beyond (Hardcover): Wenjiang Fu

A Practical Guide to Age-Period-Cohort Analysis - The Identification Problem and Beyond (Hardcover)

Wenjiang Fu

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Loot Price R2,219 Discovery Miles 22 190 | Repayment Terms: R208 pm x 12*

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Age-Period-Cohort analysis has a wide range of applications, from chronic disease incidence and mortality data in public health and epidemiology, to many social events (birth, death, marriage, etc) in social sciences and demography, and most recently investment, healthcare and pension contribution in economics and finance. Although APC analysis has been studied for the past 40 years and a lot of methods have been developed, the identification problem has been a major hurdle in analyzing APC data, where the regression model has multiple estimators, leading to indetermination of parameters and temporal trends. A Practical Guide to Age-Period Cohort Analysis: The Identification Problem and Beyond provides practitioners a guide to using APC models as well as offers graduate students and researchers an overview of the current methods for APC analysis while clarifying the confusion of the identification problem by explaining why some methods address the problem well while others do not. Features * Gives a comprehensive and in-depth review of models and methods in APC analysis. * Provides an in-depth explanation of the identification problem and statistical approaches to addressing the problem and clarifying the confusion. * Utilizes real data sets to illustrate different data issues that have not been addressed in the literature, including unequal intervals in age and period groups, etc. Contains step-by-step modeling instruction and R programs to demonstrate how to conduct APC analysis and how to conduct prediction for the future Reflects the most recent development in APC modeling and analysis including the intrinsic estimator Wenjiang Fu is a professor of statistics at the University of Houston. Professor Fu's research interests include modeling big data, applied statistics research in health and human genome studies, and analysis of complex economic and social science data.

General

Imprint: Crc Press
Country of origin: United States
Release date: April 2018
First published: October 2014
Authors: Wenjiang Fu
Dimensions: 234 x 156 x 22mm (L x W x T)
Format: Hardcover
Pages: 250
ISBN-13: 978-1-4665-9265-0
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Social sciences > Sociology, social studies > Social research & statistics > General
Books > Social sciences > Psychology > Psychological methodology > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 1-4665-9265-6
Barcode: 9781466592650

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