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Quantitative Applications in the Social Sciences Ser.: Applied Regression : An Introduction by Michael S. Lewis-Beck and Colin Lewis-Beck (2015, Trade Paperback)

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Product Information

Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. Authors Colin Lewis-Beck and Michael Lewis-Beck then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1483381471
ISBN-13
9781483381473
eBay Product ID (ePID)
208606409

Product Key Features

Author
Michaels. Lewis-Beck, Colin Lewis-Beck
Publication Name
Applied Regression : an Introduction
Format
Trade Paperback
Language
English
Series
Quantitative Applications in the Social Sciences Ser.
Publication Year
2015
Type
Textbook
Number of Pages
120 Pages

Dimensions

Item Length
8.5in
Item Height
0.2in
Item Width
5.5in
Item Weight
5 Oz

Additional Product Features

Series Volume Number
22
Lc Classification Number
Ha31.3.L48 2016
Edition Number
2
Reviews
This is an excellent update and extension of a wonderfully clear exposition of bivariate and multiple regression analysis for beginning practitioners and students. I was a fan of the first edition, and I am even more pleased with the revision., This is one of the best resources on basic regression techniques available on the market today and it remains my go-to guide for my own research. Applied Regressionis the quintessential text for graduate students pursuing degrees in the quantitative social sciences; it has helped train several generations of social science researchers over the course of the last four decades. The second edition will remain instrumental in training social scientists for years to come., This is a great book to acquaint students with the world of linear models. It is perfect to use in combination with other texts, or as a stand-along book in introductory courses. The Lewis-Beck's have updated the presentation, provided additional examples, and included more discussion of regression diagnostics. I am sure that it will, once again, be a best seller!, This is an excellent update and extension of a wonderfully clear exposition of bivariate and multiple regression analysis for beginning practitioners and students. I was a fan of the first edition, and I am even more pleased with the revision. , The new edition of Applied Regression maintains the excellence of the original edition while modernizing and extending it. Its highpoint is how the Lewis-Becks state everything with complete precision. From the assumptions of OLS to the ways of coping with outliers and to the methods of detecting multicollinearity, the authors tell readers exactly what they need to know to perform regression analysis., The new edition of Applied Regression maintains the excellence of the original edition while modernizing and extending it. Its highpoint is how the Lewis-Becks state everything with complete precision. From the assumptions of OLS to the ways of coping with outliers and to the methods of detecting multicollinearity, the authors tell readers exactly what they need to know to perform regression analysis., This is one of the best resources on basic regression techniques available on the market today and it remains my go-to guide for my own research. Applied Regression is the quintessential text for graduate students pursuing degrees in the quantitative social sciences; it has helped train several generations of social science researchers over the course of the last four decades. The second edition will remain instrumental in training social scientists for years to come., This is a great book to acquaint students with the world of linear models. It is perfect to use in combination with other texts, or as a stand-along book in introductory courses. The Lewis-Beck's have updated the presentation, provided additional examples, and included more discussion of regression diagnostics. I am sure that it will, once again, be a best seller!, The new edition of Applied Regressionmaintains the excellence of the original edition while modernizing and extending it. Its highpoint is how the Lewis-Becks state everything with complete precision. From the assumptions of OLS to the ways of coping with outliers and to the methods of detecting multicollinearity, the authors tell readers exactly what they need to know to perform regression analysis.
Table of Content
Series Editors IntroductionPrefaceAcknowledgmentsAbout the Authors1. Bivariate Regression: Fitting a Straight Line2. Bivariate Regression: Assumptions and Inferences3. Multiple Regression: The Basics4. Multiple Regression: Special TopicsAppendixReferencesIndex
Copyright Date
2016
Topic
Methodology, Probability & Statistics / Regression Analysis, Research, Statistics
Lccn
2015-011813
Intended Audience
College Audience
Illustrated
Yes
Genre
Mathematics, Social Science

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Quantitative Applications in the Social Sciences Ser.: Applied Regression : An Introduction by Michael S. Lewis-Beck and Colin Lewis-Beck (2015, Trade Paperback)

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