Description: Applications of Regression Techniques Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Manoranjan Pal, Premananda Bharati Format: Hardback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811393136, 978-9811393136 Synopsis 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.
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Book Title: Applications of Regression Techniques
Number of Pages: 175 Pages
Publication Name: Applications of Regression Techniques
Language: English
Publisher: Springer Verlag, Singapore
Item Height: 235 mm
Subject: Economics, Government, Mathematics
Publication Year: 2019
Type: Textbook
Item Weight: 453 g
Author: Manoranjan Pal, Premananda Bharati
Item Width: 155 mm
Format: Hardcover