Applied linear models with SAS /:
"This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numer...
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge ; New York :
Cambridge University Press,
2010.
|
Schlagworte: | |
Online-Zugang: | Volltext |
Zusammenfassung: | "This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author keeps equations to a minimum and demonstrates all computations using SAS. Most of the programs and output are displayed in a self-contained way, with an emphasis on the interpretation of the output in terms of how it relates to the motivating example. Plenty of exercises conclude every chapter. All of the datasets and SAS programs are available from the book's Web site, along with other ancillary material"--Provided by publisher |
Beschreibung: | 1 online resource (xiii, 273 pages) : illustrations |
Bibliographie: | Includes bibliographical references and index. |
ISBN: | 9780511774768 0511774761 9780511776281 0511776284 9780511773709 0511773706 9780511778643 0511778643 9786612657931 6612657936 |
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504 | |a Includes bibliographical references and index. | ||
505 | 0 | |a Introduction -- Principles of statistics -- Introduction to linear regression -- Assessing the regression -- Multiple linear regression -- Indicators, interactions, and transformations -- Nonparametric statistics -- Logistic regression -- Diagnostics for logistic regression -- Poisson regression -- Survival analysis -- Proportional hazards regression -- Review of methods -- Appendix: statistical tables. | |
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adam_text | |
any_adam_object | |
author | Zelterman, Daniel |
author_GND | http://id.loc.gov/authorities/names/n87802724 |
author_facet | Zelterman, Daniel |
author_role | |
author_sort | Zelterman, Daniel |
author_variant | d z dz |
building | Verbundindex |
bvnumber | localFWS |
callnumber-first | Q - Science |
callnumber-label | QA278 |
callnumber-raw | QA278.2 .Z45 2010eb |
callnumber-search | QA278.2 .Z45 2010eb |
callnumber-sort | QA 3278.2 Z45 42010EB |
callnumber-subject | QA - Mathematics |
collection | ZDB-4-EBA |
contents | Introduction -- Principles of statistics -- Introduction to linear regression -- Assessing the regression -- Multiple linear regression -- Indicators, interactions, and transformations -- Nonparametric statistics -- Logistic regression -- Diagnostics for logistic regression -- Poisson regression -- Survival analysis -- Proportional hazards regression -- Review of methods -- Appendix: statistical tables. |
ctrlnum | (OCoLC)646816187 |
dewey-full | 519.5/35 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 519 - Probabilities and applied mathematics |
dewey-raw | 519.5/35 |
dewey-search | 519.5/35 |
dewey-sort | 3519.5 235 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
format | Electronic eBook |
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genre | Electronic books. |
genre_facet | Electronic books. |
id | ZDB-4-EBA-ocn646816187 |
illustrated | Illustrated |
indexdate | 2024-11-27T13:17:18Z |
institution | BVB |
isbn | 9780511774768 0511774761 9780511776281 0511776284 9780511773709 0511773706 9780511778643 0511778643 9786612657931 6612657936 |
language | English |
oclc_num | 646816187 |
open_access_boolean | |
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physical | 1 online resource (xiii, 273 pages) : illustrations |
psigel | ZDB-4-EBA |
publishDate | 2010 |
publishDateSearch | 2010 |
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publisher | Cambridge University Press, |
record_format | marc |
spelling | Zelterman, Daniel. http://id.loc.gov/authorities/names/n87802724 Applied linear models with SAS / Daniel Zelterman. Cambridge ; New York : Cambridge University Press, 2010. 1 online resource (xiii, 273 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier "This textbook for a second course in basic statistics for undergraduates or first-year graduate students introduces linear regression models and describes other linear models including Poisson regression, logistic regression, proportional hazards regression, and nonparametric regression. Numerous examples drawn from the news and current events with an emphasis on health issues illustrate these concepts. Assuming only a pre-calculus background, the author keeps equations to a minimum and demonstrates all computations using SAS. Most of the programs and output are displayed in a self-contained way, with an emphasis on the interpretation of the output in terms of how it relates to the motivating example. Plenty of exercises conclude every chapter. All of the datasets and SAS programs are available from the book's Web site, along with other ancillary material"--Provided by publisher Includes bibliographical references and index. Introduction -- Principles of statistics -- Introduction to linear regression -- Assessing the regression -- Multiple linear regression -- Indicators, interactions, and transformations -- Nonparametric statistics -- Logistic regression -- Diagnostics for logistic regression -- Poisson regression -- Survival analysis -- Proportional hazards regression -- Review of methods -- Appendix: statistical tables. Print version record. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 SAS (Computer program language) http://id.loc.gov/authorities/subjects/sh2005006970 Regression Analysis https://id.nlm.nih.gov/mesh/D012044 Analyse de régression. SAS (Langage de programmation) MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh Linear models (Statistics) fast Regression analysis fast SAS (Computer program language) fast Electronic books. has work: Applied linear models with SAS (Text) https://id.oclc.org/worldcat/entity/E39PCFJBCwMWKPM4hwdhBWWWwy https://id.oclc.org/worldcat/ontology/hasWork Print version: Zelterman, Daniel. Applied linear models with SAS. Cambridge ; New York : Cambridge University Press, 2010 9780521761598 (DLC) 2009053487 (OCoLC)499130012 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=324109 Volltext |
spellingShingle | Zelterman, Daniel Applied linear models with SAS / Introduction -- Principles of statistics -- Introduction to linear regression -- Assessing the regression -- Multiple linear regression -- Indicators, interactions, and transformations -- Nonparametric statistics -- Logistic regression -- Diagnostics for logistic regression -- Poisson regression -- Survival analysis -- Proportional hazards regression -- Review of methods -- Appendix: statistical tables. Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 SAS (Computer program language) http://id.loc.gov/authorities/subjects/sh2005006970 Regression Analysis https://id.nlm.nih.gov/mesh/D012044 Analyse de régression. SAS (Langage de programmation) MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh Linear models (Statistics) fast Regression analysis fast SAS (Computer program language) fast |
subject_GND | http://id.loc.gov/authorities/subjects/sh85112392 http://id.loc.gov/authorities/subjects/sh85077177 http://id.loc.gov/authorities/subjects/sh2005006970 https://id.nlm.nih.gov/mesh/D012044 |
title | Applied linear models with SAS / |
title_auth | Applied linear models with SAS / |
title_exact_search | Applied linear models with SAS / |
title_full | Applied linear models with SAS / Daniel Zelterman. |
title_fullStr | Applied linear models with SAS / Daniel Zelterman. |
title_full_unstemmed | Applied linear models with SAS / Daniel Zelterman. |
title_short | Applied linear models with SAS / |
title_sort | applied linear models with sas |
topic | Regression analysis. http://id.loc.gov/authorities/subjects/sh85112392 Linear models (Statistics) http://id.loc.gov/authorities/subjects/sh85077177 SAS (Computer program language) http://id.loc.gov/authorities/subjects/sh2005006970 Regression Analysis https://id.nlm.nih.gov/mesh/D012044 Analyse de régression. SAS (Langage de programmation) MATHEMATICS Probability & Statistics Multivariate Analysis. bisacsh Linear models (Statistics) fast Regression analysis fast SAS (Computer program language) fast |
topic_facet | Regression analysis. Linear models (Statistics) SAS (Computer program language) Regression Analysis Analyse de régression. SAS (Langage de programmation) MATHEMATICS Probability & Statistics Multivariate Analysis. Regression analysis Electronic books. |
url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=324109 |
work_keys_str_mv | AT zeltermandaniel appliedlinearmodelswithsas |