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Applied regression and modeling : a computer integrated approach /

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 Simpl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Sahay, Amar (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016.
Edición:First edition.
Colección:Quantitative approaches to decision making collection.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Sahay, Amar,  |e author. 
245 1 0 |a Applied regression and modeling :  |b a computer integrated approach /  |c Amar Sahay. 
250 |a First edition. 
264 1 |a New York, New York (222 East 46th Street, New York, NY 10017) :  |b Business Expert Press,  |c 2016. 
300 |a 1 online resource (1 PDF (xi, 195 pages)) 
336 |a text  |b txt  |2 rdacontent 
337 |a electronic  |2 isbdmedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Quantitative approaches to decision making collection,  |x 2163-9582 
500 |a Title from PDF title page (viewed on July 15, 2016). 
504 |a Includes bibliographical references (page 191) and index. 
505 0 |a 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. 
520 3 |a 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. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Regression analysis  |x Data processing. 
650 6 |a Analyse de régression  |x Informatique. 
650 7 |a MATHEMATICS  |x Applied.  |2 bisacsh 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x General.  |2 bisacsh 
650 7 |a Regression analysis  |x Data processing  |2 fast 
653 |a coefficient of correlation 
653 |a correlation 
653 |a dependent variable 
653 |a dummy variable 
653 |a independent variable 
653 |a interaction model 
653 |a least squares estimates 
653 |a least squares prediction equation 
653 |a linear regression 
653 |a multiple coefficient of determination 
653 |a multiple regression and modeling 
653 |a nonlinear models 
653 |a regression line 
653 |a residual analysis 
653 |a scatterplot 
653 |a second-order model 
653 |a stepwise regression 
776 0 8 |i Print version:  |z 9781631573293 
830 0 |a Quantitative approaches to decision making collection.  |x 2163-9582 
856 4 0 |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4560113  |z Texto completo 
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