Regression analysis :: statistical modeling of a response variable /
The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a giv...
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1. Verfasser: | |
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Weitere Verfasser: | , |
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
AMsterdam ; Boston :
Elsevier Academic Press,
©2006.
|
Ausgabe: | 2nd ed. |
Schlagworte: | |
Online-Zugang: | DE-862 DE-863 |
Zusammenfassung: | The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design.* Examples and exercises contain real data and graphical illustration for ease of interpretation* Outputs from SAS 7, SPSS 7, Excel, and Minitab are used for illustration, but any major. |
Beschreibung: | 1 online resource (xix, 459 pages :) |
Bibliographie: | Includes bibliographical references (pages 445-447) and index. |
ISBN: | 9780080522975 0080522971 |
Internformat
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100 | 1 | |a Freund, Rudolf J. |q (Rudolf Jakob), |d 1927-2014. |1 https://id.oclc.org/worldcat/entity/E39PBJqbj8rgDbxTfHxbCkGyh3 |0 http://id.loc.gov/authorities/names/n79099217 | |
245 | 1 | 0 | |a Regression analysis : |b statistical modeling of a response variable / |c Rudolf J. Freund, William J. Wilson, Ping Sa. |
250 | |a 2nd ed. | ||
260 | |a AMsterdam ; |a Boston : |b Elsevier Academic Press, |c ©2006. | ||
300 | |a 1 online resource (xix, 459 pages :) | ||
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504 | |a Includes bibliographical references (pages 445-447) and index. | ||
505 | 0 | |a The analysis of means : a review of basics and an introduction to linear models -- Simple linear regression : linear regression with one independent variable -- Multiple linear regression -- Problems with observations -- Multicollinearity -- Problems with the model -- Curve fitting -- Introduction to nonlinear models -- Indicator variables -- Categorical response variables -- Generalized linear models. | |
588 | 0 | |a Print version record. | |
520 | |a The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design.* Examples and exercises contain real data and graphical illustration for ease of interpretation* Outputs from SAS 7, SPSS 7, Excel, and Minitab are used for illustration, but any major. | ||
650 | 0 | |a Regression analysis. |0 http://id.loc.gov/authorities/subjects/sh85112392 | |
650 | 0 | |a Linear models (Statistics) |0 http://id.loc.gov/authorities/subjects/sh85077177 | |
650 | 2 | |a Regression Analysis |0 https://id.nlm.nih.gov/mesh/D012044 | |
650 | 6 | |a Analyse de régression. | |
650 | 7 | |a MATHEMATICS |x Probability & Statistics |x Regression Analysis. |2 bisacsh | |
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650 | 7 | |a Regression analysis |2 fast | |
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700 | 1 | |a Sa, Ping. |0 http://id.loc.gov/authorities/names/n2005089202 | |
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Datensatz im Suchindex
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adam_text | |
any_adam_object | |
author | Freund, Rudolf J. (Rudolf Jakob), 1927-2014 |
author2 | Wilson, William J., 1940- Sa, Ping |
author2_role | |
author2_variant | w j w wj wjw p s ps |
author_GND | http://id.loc.gov/authorities/names/n79099217 http://id.loc.gov/authorities/names/n91115398 http://id.loc.gov/authorities/names/n2005089202 |
author_facet | Freund, Rudolf J. (Rudolf Jakob), 1927-2014 Wilson, William J., 1940- Sa, Ping |
author_role | |
author_sort | Freund, Rudolf J. 1927-2014 |
author_variant | r j f rj rjf |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QA278 |
callnumber-raw | QA278.2 .F698 2006eb |
callnumber-search | QA278.2 .F698 2006eb |
callnumber-sort | QA 3278.2 F698 42006EB |
callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBA |
contents | The analysis of means : a review of basics and an introduction to linear models -- Simple linear regression : linear regression with one independent variable -- Multiple linear regression -- Problems with observations -- Multicollinearity -- Problems with the model -- Curve fitting -- Introduction to nonlinear models -- Indicator variables -- Categorical response variables -- Generalized linear models. |
ctrlnum | (OCoLC)668994916 |
dewey-full | 519.5/36 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5/36 |
dewey-search | 519.5/36 |
dewey-sort | 3519.5 236 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
edition | 2nd ed. |
format | Electronic eBook |
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id | ZDB-4-EBA-ocn668994916 |
illustrated | Illustrated |
indexdate | 2025-03-18T14:15:21Z |
institution | BVB |
isbn | 9780080522975 0080522971 |
language | English |
oclc_num | 668994916 |
open_access_boolean | |
owner | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
owner_facet | MAIN DE-862 DE-BY-FWS DE-863 DE-BY-FWS |
physical | 1 online resource (xix, 459 pages :) |
psigel | ZDB-4-EBA FWS_PDA_EBA ZDB-4-EBA |
publishDate | 2006 |
publishDateSearch | 2006 |
publishDateSort | 2006 |
publisher | Elsevier Academic Press, |
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spelling | Freund, Rudolf J. (Rudolf Jakob), 1927-2014. https://id.oclc.org/worldcat/entity/E39PBJqbj8rgDbxTfHxbCkGyh3 http://id.loc.gov/authorities/names/n79099217 Regression analysis : statistical modeling of a response variable / Rudolf J. Freund, William J. Wilson, Ping Sa. 2nd ed. AMsterdam ; Boston : Elsevier Academic Press, ©2006. 1 online resource (xix, 459 pages :) text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references (pages 445-447) and index. The analysis of means : a review of basics and an introduction to linear models -- Simple linear regression : linear regression with one independent variable -- Multiple linear regression -- Problems with observations -- Multicollinearity -- Problems with the model -- Curve fitting -- Introduction to nonlinear models -- Indicator variables -- Categorical response variables -- Generalized linear models. Print version record. The book provides complete coverage of the classical methods of statistical analysis. It is designed to give students an understanding of the purpose of statistical analyses, to allow the student to determine, at least to some degree, the correct type of statistical analyses to be performed in a given situation, and have some appreciation of what constitutes good experimental design.* Examples and exercises contain real data and graphical illustration for ease of interpretation* Outputs from SAS 7, SPSS 7, Excel, and Minitab are used for illustration, but any major. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 Regression Analysis https://id.nlm.nih.gov/mesh/D012044 Analyse de régression. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Linear models (Statistics) fast Regression analysis fast Wilson, William J., 1940- https://id.oclc.org/worldcat/entity/E39PCjChxDc6hrfjGvYHQCtWKq http://id.loc.gov/authorities/names/n91115398 Sa, Ping. http://id.loc.gov/authorities/names/n2005089202 Print version: Freund, Rudolf J. (Rudolf Jakob), 1927- Regression analysis. 2nd ed. Burlington, MA : Elsevier Academic Press, ©2006 9780120885978 (DLC) 2005057182 (OCoLC)62533974 |
spellingShingle | Freund, Rudolf J. (Rudolf Jakob), 1927-2014 Regression analysis : statistical modeling of a response variable / The analysis of means : a review of basics and an introduction to linear models -- Simple linear regression : linear regression with one independent variable -- Multiple linear regression -- Problems with observations -- Multicollinearity -- Problems with the model -- Curve fitting -- Introduction to nonlinear models -- Indicator variables -- Categorical response variables -- Generalized linear models. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 Regression Analysis https://id.nlm.nih.gov/mesh/D012044 Analyse de régression. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Linear models (Statistics) fast Regression analysis fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85112392 http://id.loc.gov/authorities/subjects/sh85077177 https://id.nlm.nih.gov/mesh/D012044 |
title | Regression analysis : statistical modeling of a response variable / |
title_auth | Regression analysis : statistical modeling of a response variable / |
title_exact_search | Regression analysis : statistical modeling of a response variable / |
title_full | Regression analysis : statistical modeling of a response variable / Rudolf J. Freund, William J. Wilson, Ping Sa. |
title_fullStr | Regression analysis : statistical modeling of a response variable / Rudolf J. Freund, William J. Wilson, Ping Sa. |
title_full_unstemmed | Regression analysis : statistical modeling of a response variable / Rudolf J. Freund, William J. Wilson, Ping Sa. |
title_short | Regression analysis : |
title_sort | regression analysis statistical modeling of a response variable |
title_sub | statistical modeling of a response variable / |
topic | Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 Regression Analysis https://id.nlm.nih.gov/mesh/D012044 Analyse de régression. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Linear models (Statistics) fast Regression analysis fast |
topic_facet | Regression analysis. Linear models (Statistics) Regression Analysis Analyse de régression. MATHEMATICS Probability & Statistics Regression Analysis. Regression analysis |
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