Applied regression modeling:
"This book offers a practical, concise introduction to regression analysis for upper-level undergraduate students of diverse disciplines including, but not limited to statistics, the social and behavioral sciences, MBA, and vocational studies. The book's overall approach is strongly based...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Hoboken, NJ, USA
Wiley
2021
|
| Ausgabe: | Third edition |
| Schlagworte: | |
| Zusammenfassung: | "This book offers a practical, concise introduction to regression analysis for upper-level undergraduate students of diverse disciplines including, but not limited to statistics, the social and behavioral sciences, MBA, and vocational studies. The book's overall approach is strongly based on an abundant use of illustrations, examples, case studies, and graphics. It emphasizes major statistical software packages, including SPSS(r), Minitab(r), SAS(r), R, and R/S-PLUS(r). Detailed instructions for use of these packages, as well as for Microsoft Office Excel(r), are provided on a specially prepared and maintained author web site. Select software output appears throughout the text. To help readers understand, analyze, and interpret data and make informed decisions in uncertain settings, many of the examples and problems use real-life situations and settings. The book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, Bayesian modeling, and time series and forecasting. New to this edition are more exercises, simplification of tedious topics (such as checking regression assumptions and model building), elimination of repetition, and inclusion of additional topics (such as variable selection methods, further regression diagnostic tests, and autocorrelation tests)"-- |
| Beschreibung: | xxi, 310 Seiten Illustrationen, Diagramme |
| ISBN: | 9781119615866 |
Internformat
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| 520 | |a "This book offers a practical, concise introduction to regression analysis for upper-level undergraduate students of diverse disciplines including, but not limited to statistics, the social and behavioral sciences, MBA, and vocational studies. The book's overall approach is strongly based on an abundant use of illustrations, examples, case studies, and graphics. It emphasizes major statistical software packages, including SPSS(r), Minitab(r), SAS(r), R, and R/S-PLUS(r). Detailed instructions for use of these packages, as well as for Microsoft Office Excel(r), are provided on a specially prepared and maintained author web site. Select software output appears throughout the text. To help readers understand, analyze, and interpret data and make informed decisions in uncertain settings, many of the examples and problems use real-life situations and settings. The book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, Bayesian modeling, and time series and forecasting. New to this edition are more exercises, simplification of tedious topics (such as checking regression assumptions and model building), elimination of repetition, and inclusion of additional topics (such as variable selection methods, further regression diagnostic tests, and autocorrelation tests)"-- | ||
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Datensatz im Suchindex
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| dewey-full | 519.5/36 |
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| dewey-ones | 519 - Probabilities and applied mathematics |
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| discipline | Mathematik Wirtschaftswissenschaften |
| discipline_str_mv | Mathematik Wirtschaftswissenschaften |
| edition | Third edition |
| format | Book |
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| illustrated | Illustrated |
| index_date | 2024-07-03T16:42:56Z |
| indexdate | 2024-07-10T09:04:35Z |
| institution | BVB |
| isbn | 9781119615866 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032576227 |
| oclc_num | 1249679498 |
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| owner | DE-29T DE-634 |
| owner_facet | DE-29T DE-634 |
| physical | xxi, 310 Seiten Illustrationen, Diagramme |
| publishDate | 2021 |
| publishDateSearch | 2021 |
| publishDateSort | 2021 |
| publisher | Wiley |
| record_format | marc |
| spelling | Pardoe, Iain 1970- Verfasser (DE-588)1025919025 aut Applied regression modeling Iain Pardoe Third edition Hoboken, NJ, USA Wiley 2021 xxi, 310 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier "This book offers a practical, concise introduction to regression analysis for upper-level undergraduate students of diverse disciplines including, but not limited to statistics, the social and behavioral sciences, MBA, and vocational studies. The book's overall approach is strongly based on an abundant use of illustrations, examples, case studies, and graphics. It emphasizes major statistical software packages, including SPSS(r), Minitab(r), SAS(r), R, and R/S-PLUS(r). Detailed instructions for use of these packages, as well as for Microsoft Office Excel(r), are provided on a specially prepared and maintained author web site. Select software output appears throughout the text. To help readers understand, analyze, and interpret data and make informed decisions in uncertain settings, many of the examples and problems use real-life situations and settings. The book introduces modeling extensions that illustrate more advanced regression techniques, including logistic regression, Poisson regression, discrete choice models, multilevel models, Bayesian modeling, and time series and forecasting. New to this edition are more exercises, simplification of tedious topics (such as checking regression assumptions and model building), elimination of repetition, and inclusion of additional topics (such as variable selection methods, further regression diagnostic tests, and autocorrelation tests)"-- Regression analysis Statistics MATHEMATICS / Probability & Statistics / Regression Analysis bisacsh Statistik Regressionsanalyse (DE-588)4129903-6 gnd rswk-swf Regressionsanalyse (DE-588)4129903-6 s DE-604 Erscheint auch als Online-Ausgabe, PDF 978-1-119-61588-0 Erscheint auch als Online-Ausgabe, EPUB 978-1-119-61590-3 |
| spellingShingle | Pardoe, Iain 1970- Applied regression modeling Regression analysis Statistics MATHEMATICS / Probability & Statistics / Regression Analysis bisacsh Statistik Regressionsanalyse (DE-588)4129903-6 gnd |
| subject_GND | (DE-588)4129903-6 |
| title | Applied regression modeling |
| title_auth | Applied regression modeling |
| title_exact_search | Applied regression modeling |
| title_exact_search_txtP | Applied regression modeling |
| title_full | Applied regression modeling Iain Pardoe |
| title_fullStr | Applied regression modeling Iain Pardoe |
| title_full_unstemmed | Applied regression modeling Iain Pardoe |
| title_short | Applied regression modeling |
| title_sort | applied regression modeling |
| topic | Regression analysis Statistics MATHEMATICS / Probability & Statistics / Regression Analysis bisacsh Statistik Regressionsanalyse (DE-588)4129903-6 gnd |
| topic_facet | Regression analysis Statistics MATHEMATICS / Probability & Statistics / Regression Analysis Statistik Regressionsanalyse |
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