Applied regression and modeling : : a computer integrated approach / / Amar Sahay.
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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Superior document: | Quantitative approaches to decision making collection, |
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Place / Publishing House: | New York, New York (222 East 46th Street, New York, NY 10017) : : Business Expert Press,, 2016. |
Year of Publication: | 2016 |
Edition: | First edition. |
Language: | English |
Series: | Quantitative approaches to decision making collection.
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Physical Description: | 1 online resource (xi, 195 pages) |
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Sahay, Amar., author. Applied regression and modeling : a computer integrated approach / Amar Sahay. First edition. New York, New York (222 East 46th Street, New York, NY 10017) : Business Expert Press, 2016. 1 online resource (xi, 195 pages) text rdacontent computer rdamedia online resource rdacarrier Quantitative approaches to decision making collection, 2163-9582 Includes bibliographical references (page [191]) and index. 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 restricted to authorized users and institutions. 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. Title from PDF title page (viewed on July 15, 2016). Electronic reproduction. Ann Arbor, MI : ProQuest, 2016. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. Regression analysis Data processing. 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 Electronic books. Print version: 9781631573293 ProQuest (Firm) Quantitative approaches to decision making collection. 2163-9582 https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4560113 Click to View |
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English |
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Sahay, Amar., |
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Sahay, Amar., Applied regression and modeling : a computer integrated approach / Quantitative approaches to decision making collection, 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. |
author_facet |
Sahay, Amar., |
author_variant |
a s as |
author_role |
VerfasserIn |
author_sort |
Sahay, Amar., |
title |
Applied regression and modeling : a computer integrated approach / |
title_sub |
a computer integrated approach / |
title_full |
Applied regression and modeling : a computer integrated approach / Amar Sahay. |
title_fullStr |
Applied regression and modeling : a computer integrated approach / Amar Sahay. |
title_full_unstemmed |
Applied regression and modeling : a computer integrated approach / Amar Sahay. |
title_auth |
Applied regression and modeling : a computer integrated approach / |
title_new |
Applied regression and modeling : |
title_sort |
applied regression and modeling : a computer integrated approach / |
series |
Quantitative approaches to decision making collection, |
series2 |
Quantitative approaches to decision making collection, |
publisher |
Business Expert Press, |
publishDate |
2016 |
physical |
1 online resource (xi, 195 pages) |
edition |
First edition. |
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. |
isbn |
9781631573309 9781631573293 |
issn |
2163-9582 |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA278 |
callnumber-sort |
QA 3278.2 S252 42016 |
genre |
Electronic books. |
genre_facet |
Electronic books. |
url |
https://ebookcentral.proquest.com/lib/oeawat/detail.action?docID=4560113 |
illustrated |
Not Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
510 - Mathematics |
dewey-ones |
519 - Probabilities & applied mathematics |
dewey-full |
519.536 |
dewey-sort |
3519.536 |
dewey-raw |
519.536 |
dewey-search |
519.536 |
oclc_num |
956133125 |
work_keys_str_mv |
AT sahayamar appliedregressionandmodelingacomputerintegratedapproach |
status_str |
n |
ids_txt_mv |
(MiAaPQ)5004560113 (Au-PeEL)EBL4560113 (CaPaEBR)ebr11225272 (CaONFJC)MIL933208 (OCoLC)956133125 |
hierarchy_parent_title |
Quantitative approaches to decision making collection, |
is_hierarchy_title |
Applied regression and modeling : a computer integrated approach / |
container_title |
Quantitative approaches to decision making collection, |
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