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Applications of regression techniques / Manoranjan Pal, Premananda Bharati.

9789811393143 (electronic book)
9811393141 (electronic book)
9811393133
9789811393136

Singapore : Springer, [2019]

English

1 online resource

10.1007/978-981-13-9

QA278.2 .P35 2019

519.5/36

This book discusses the need to carefully and prudently apply various regression techniques in order to obtain the full benefits. It also describes some of the techniques developed and used by the authors, presenting their innovative ideas regarding the formulation and estimation of regression decomposition models, hidden Markov chain, and the contribution of regressors in the set-theoretic approach, calorie poverty rate, and aggregate growth rate. Each of these techniques has applications that address a number of unanswered questions; for example, regression decomposition techniques reveal intra-household gender inequalities of consumption, intra-household allocation of resources and adult equivalent scales, while Hidden Markov chain models can forecast the results of future elections. Most of these procedures are presented using real-world data, and the techniques can be applied in other similar situations. Showing how difficult questions can be answered by developing simple models with simple interpretation of parameters, the book is a valuable resource for students and researchers in the field of model building.

Includes bibliographical references.

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Description based on online resource; title from digital title page (viewed on August 26, 2019).

Print version: 9789811393136

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