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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Pardoe, Iain, 1970-
Μορφή: Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Hoboken, NJ : Wiley, 2012.
Έκδοση:2nd ed.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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049 |a MAIN 
100 1 |a Pardoe, Iain,  |d 1970- 
245 1 0 |a Applied regression modeling /  |c Iain Pardoe. 
250 |a 2nd ed. 
264 1 |a Hoboken, NJ :  |b Wiley,  |c 2012. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
500 |a Includes 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 0 |a Print version record and CIP data provided by publisher. 
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. 
650 0 |a Regression analysis. 
650 0 |a Statistics. 
650 7 |a MATHEMATICS  |x Probability & Statistics  |x Regression Analysis.  |2 bisacsh 
650 7 |a Regression analysis.  |2 fast  |0 (OCoLC)fst01432090 
650 7 |a Statistics.  |2 fast  |0 (OCoLC)fst01132103 
655 4 |a Electronic books. 
776 0 8 |i Print version:  |a Pardoe, Iain, 1970-  |t Applied regression modeling.  |b 2nd ed.  |d Hoboken, NJ : Wiley, 2012  |z 9781118097281  |w (DLC) 2012002030 
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