04730cam a2200805 a 4500 ocn777002307 OCoLC 20171115111418.0 m o d cr cn||||||||| 120214s2012 nju ob 001 0 eng 2012006617 9781118345047 (epub) 1118345045 (epub) 9781118345023 (pdf) 1118345029 (pdf) 9781118345030 (mobi) 1118345037 (mobi) 9781118345054 (electronic bk.) 1118345053 (electronic bk.) 9781118274415 (electronic bk.) 1118274415 (electronic bk.) 1118097289 (hardback) 9781118097281 (hardback) 9781283700283 (MyiLibrary) 128370028X (MyiLibrary) 9781118097281 (hardback) 10.1002/9781118345054 doi AU@ 000052907981 DEBSZ 397258739 DEBSZ 431108021 NLGGC 389620637 NZ1 14695636 NZ1 15340885 NZ1 15915088 NZ1 16176282 DEBSZ 428124550 DEBBG BV043394121 (OCoLC)777002307 (OCoLC)779616343 (OCoLC)957679638 (OCoLC)957684021 (OCoLC)957684110 (OCoLC)957684131 10.1002/9781118274415 Wiley InterScience http://www3.interscience.wiley.com DLC eng pn DLC DG1 N$T YDXCP CDX COO EBLCP UBY IDEBK DEBSZ UKDOC OCLCF OCLCQ DEBBG OCLCQ pcc MAIN QA278.2 MAT 029030 bisacsh 519.5/36 23 MAT029030 bisacsh Pardoe, Iain, 1970- Applied regression modeling / Iain Pardoe. [electronic resource] 2nd ed. Hoboken, NJ : Wiley, 2012. 1 online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes index. 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)"-- Provided by publisher. Print version record and CIP data provided by publisher. Regression analysis. Statistics. MATHEMATICS Probability & Statistics Regression Analysis. bisacsh Regression analysis. fast (OCoLC)fst01432090 Statistics. fast (OCoLC)fst01132103 Electronic books. Print version: Pardoe, Iain, 1970- Applied regression modeling. 2nd ed. Hoboken, NJ : Wiley, 2012 9781118097281 (DLC) 2012002030 http://onlinelibrary.wiley.com/book/10.1002/9781118345054 Wiley Online Library ddc BK 205586 205586