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. Numerous ex...
Gespeichert in:
| 1. Verfasser: | |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2010
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| Schlagworte: | |
| Online-Zugang: | BSB01 FHN01 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 website, along with other ancillary material |
| Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
| Beschreibung: | 1 online resource (xiii, 273 pages) |
| ISBN: | 9780511778643 |
| DOI: | 10.1017/CBO9780511778643 |
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| 500 | |a Title from publisher's bibliographic system (viewed on 05 Oct 2015) | ||
| 505 | 8 | |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 | |
| 520 | |a 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 website, along with other ancillary material | ||
| 650 | 4 | |a Regression analysis | |
| 650 | 4 | |a Linear models (Statistics) | |
| 650 | 4 | |a SAS (Computer program language) | |
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| author | Zelterman, Daniel |
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| author_sort | Zelterman, Daniel |
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| 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 | (ZDB-20-CBO)CR9780511778643 (OCoLC)839033824 (DE-599)BVBBV043943751 |
| 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 |
| doi_str_mv | 10.1017/CBO9780511778643 |
| format | Electronic eBook |
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| id | DE-604.BV043943751 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:39:20Z |
| institution | BVB |
| isbn | 9780511778643 |
| language | English |
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| oclc_num | 839033824 |
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| physical | 1 online resource (xiii, 273 pages) |
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| publishDate | 2010 |
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| publisher | Cambridge University Press |
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| spelling | Zelterman, Daniel Verfasser aut Applied linear models with SAS Daniel Zelterman Cambridge Cambridge University Press 2010 1 online resource (xiii, 273 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) 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 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 website, along with other ancillary material Regression analysis Linear models (Statistics) SAS (Computer program language) Lineare Regression (DE-588)4167709-2 gnd rswk-swf SAS Programm (DE-588)4195685-0 gnd rswk-swf Lineare Regression (DE-588)4167709-2 s SAS Programm (DE-588)4195685-0 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-76159-8 https://doi.org/10.1017/CBO9780511778643 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| 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 Linear models (Statistics) SAS (Computer program language) Lineare Regression (DE-588)4167709-2 gnd SAS Programm (DE-588)4195685-0 gnd |
| subject_GND | (DE-588)4167709-2 (DE-588)4195685-0 |
| 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 Linear models (Statistics) SAS (Computer program language) Lineare Regression (DE-588)4167709-2 gnd SAS Programm (DE-588)4195685-0 gnd |
| topic_facet | Regression analysis Linear models (Statistics) SAS (Computer program language) Lineare Regression SAS Programm |
| url | https://doi.org/10.1017/CBO9780511778643 |
| work_keys_str_mv | AT zeltermandaniel appliedlinearmodelswithsas |