Kids Library Home

Welcome to the Kids' Library!

Search for books, movies, music, magazines, and more.

     
Available items only
Electronic Book
Author Sahay, Amar., author.

Title Applied regression and modeling : a computer integrated approach / Amar Sahay.

Publication Info. New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016.

Copies

Location Call No. OPAC Message Status
 Axe ProQuest E-Book  Electronic Book    ---  Available
Edition First edition.
Description 1 online resource (xi, 195 pages)
text rdacontent
computer rdamedia
online resource rdacarrier
Series Quantitative approaches to decision making collection, 2163-9582
Quantitative approaches to decision making collection. 2163-9582
Bibliography Includes bibliographical references (page [191]) and index.
Contents 1. Introduction to regression and correlation analysis -- 2. Regression, covariance, and coefficient of correlation -- 3. Illustration of least squares regression method -- 4. Regression analysis using a computer -- 5. Multiple regression: computer analysis -- 6. Model building and computer analysis -- 7. Models with qualitative independent (dummy) variables, interaction models, all subset and stepwise regression models with computer analysis -- 8. Notes on implementation of regression models -- Bibliography -- Index.
Access Access restricted to authorized users and institutions.
Summary This book creates a balance between the theory, practical applications, and computer implementation behind Regression--one of the most widely used techniques in analyzing and solving real world problems. The book begins with a thorough explanation of prerequisite knowledge with a discussion of Simple Regression Analysis including the computer applications. This is followed by Multiple Regression--a widely used tool to predict a response variable using two or more predictors. Since the analyses of regression models involve tedious and complex computations, complete computer analysis including the interpretation of multiple regression problems along with the model adequacy tests and residual analysis using widely used computer software are presented. The use of computers relieves the analyst of tedious, repetitive calculations, and allows one to focus on creating and interpreting successful models. Finally, the book extends the concepts to Regression and Modeling. Different models that provide a good fit to a set of data and provide a good prediction of the response variable are discussed. Among models discussed are the nonlinear, higher order, and interaction models, including models with qualitative variables. Computer analysis and interpretation of computer results are presented with real world applications. We also discuss all subset regression and stepwise regression with applications. Several flow charts are presented to illustrate the concepts. The statistical concepts for regression, computer instructions for the software-- Excel and MINITAB--used in the book and all of the data files used can be downloaded from the website link provided.
Note Title from PDF title page (viewed on July 15, 2016).
Subject Regression analysis -- Data processing.
Indexed Term coefficient of correlation
correlation
dependent variable
dummy variable
independent variable
interaction model
least squares estimates
least squares prediction equation
linear regression
multiple coefficient of determination
multiple regression and modeling
nonlinear models
regression line
residual analysis
scatterplot
second-order model
stepwise regression
Genre/Form Electronic books.
Other Form: Print version: 9781631573293
ISBN 9781631573293 paperback
9781631573309 (electronic bk.)

 
    
Available items only