東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Applied regression modeling

Pardoe, Iain, (1970-)

FindBook

Google Book

Amazon

博客來

Applied regression modeling

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Applied regression modeling/ Iain Pardoe.
作者:	Pardoe, Iain,
出版者:	Hoboken, NJ :Wiley, : 2012.,
面頁冊數:	1 online resource.
內容註:	Front Matter -- Foundations -- Simple Linear Regression -- Multiple Linear Regression -- Regression Model Building I -- Regression Model Building II -- Case Studies -- Extensions -- Appendix A: Computer Software Help -- Appendix B: Critical Values for t-Distributions -- Appendix C: Notation and Formulas -- Appendix D: Mathematics Refresher -- Appendix E: Brief Answers to Selected Problems -- References -- Glossary -- Index.
標題:	Regression analysis. -
電子資源:	http://onlinelibrary.wiley.com/book/10.1002/9781118345054
ISBN:	9781118345047 ( epub)

Applied regression modeling
Pardoe, Iain,1970-

Applied regression modeling[electronic resource] /Iain Pardoe. - 2nd ed. - Hoboken, NJ :Wiley,2012. - 1 online resource.

Includes bibliographical references and index.

Front Matter -- Foundations -- Simple Linear Regression -- Multiple Linear Regression -- Regression Model Building I -- Regression Model Building II -- Case Studies -- Extensions -- Appendix A: Computer Software Help -- Appendix B: Critical Values for t-Distributions -- Appendix C: Notation and Formulas -- Appendix D: Mathematics Refresher -- Appendix E: Brief Answers to Selected Problems -- References -- Glossary -- Index.

"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)"--

ISBN: 9781118345047 ( epub)

LCCN: 2012006617Subjects--Topical Terms:

529831
Regression analysis.

LC Class. No.: QA278.2

Dewey Class. No.: 519.5/36

Applied regression modeling
LDR:03340cmm a2200445 a 4500 001 2003201
003 OCoLC
005 20151013060449.0
006 m o d
007 cr |||||||||||
008 151223s2012 nju o 001 0 eng
010 $a 2012006617
020 $a 9781118345047 ( epub)
020 $a 1118345045 ( epub)
020 $a 9781118345023 (pdf)
020 $a 1118345029 (pdf)
020 $a 9781118345030 (mobi)
020 $a 1118345037 (mobi)
020 $z 9781118097281 (hardback)
020 $a 9781118345054 (electronic bk.)
020 $a 1118345053 (electronic bk.)
020 $a 9781118274415 (electronic bk.)
020 $a 1118274415 (electronic bk.)
020 $a 1118097289 (hardback)
020 $z 9781118097281 (hardback)
020 $a 9781283700283 (MyiLibrary)
020 $a 128370028X (MyiLibrary)
035 $a (OCoLC)777002307 $z (OCoLC)779616343
035 $a ocn777002307
040 $a DLC $b eng $c DLC $d DG1 $d N $d YDXCP $d CDX $d COO $d EBLCP $d UBY $d IDEBK $d DEBSZ $d UKDOC $d OCLCF
050 0 0 $a QA278.2
082 0 0 $a 519.5/36 $2 23
100 1 $a Pardoe, Iain, $d 1970- $3 2148292
245 1 0 $a Applied regression modeling $h [electronic resource] / $c Iain Pardoe.
250 $a 2nd ed.
260 $a Hoboken, NJ : $b Wiley, $c 2012.
300 $a 1 online resource.
504 $a Includes bibliographical references and index.
505 0 $a Front Matter -- Foundations -- Simple Linear Regression -- Multiple Linear Regression -- Regression Model Building I -- Regression Model Building II -- Case Studies -- Extensions -- Appendix A: Computer Software Help -- Appendix B: Critical Values for t-Distributions -- Appendix C: Notation and Formulas -- Appendix D: Mathematics Refresher -- Appendix E: Brief Answers to Selected Problems -- References -- Glossary -- Index.
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)"-- $c Provided by publisher.
588 $a Description based on print version record and CIP data provided by publisher.
650 0 $a Regression analysis. $3 529831
650 0 $a Statistics. $3 517247
856 4 0 $u http://onlinelibrary.wiley.com/book/10.1002/9781118345054