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| 001 | ocn777002307 | ||
| 003 | OCoLC | ||
| 005 | 20171224113830.0 | ||
| 006 | m o d | ||
| 007 | cr cn||||||||| | ||
| 008 | 120214s2012 nju ob 001 0 eng | ||
| 010 | _a 2012006617 | ||
| 040 |
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_a10.1002/9781118345054 _2doi |
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_a(OCoLC)777002307 _z(OCoLC)779616343 _z(OCoLC)957679638 _z(OCoLC)957684021 _z(OCoLC)957684110 _z(OCoLC)957684131 |
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| 037 |
_a10.1002/9781118274415 _bWiley InterScience _nhttp://www3.interscience.wiley.com |
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| 042 | _apcc | ||
| 050 | 0 | 0 | _aQA278.2 |
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_a519.5/36 _223 |
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| 049 | _aMAIN | ||
| 100 | 1 |
_aPardoe, Iain, _d1970- |
|
| 245 | 1 | 0 |
_aApplied regression modeling / _cIain Pardoe. |
| 250 | _a2nd ed. | ||
| 260 |
_aHoboken, NJ : _bWiley, _c2012. |
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| 300 | _a1 online resource. | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 500 | _aIncludes 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)"-- _cProvided by publisher. |
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| 588 | 0 | _aPrint version record and CIP data provided by publisher. | |
| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aFront 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 | _aRegression analysis. | |
| 650 | 0 | _aStatistics. | |
| 650 | 7 |
_aMATHEMATICS _xProbability & Statistics _xRegression Analysis. _2bisacsh |
|
| 650 | 7 |
_aRegression analysis. _2fast _0(OCoLC)fst01432090 |
|
| 650 | 7 |
_aStatistics. _2fast _0(OCoLC)fst01132103 |
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| 655 | 4 | _aElectronic books. | |
| 776 | 0 | 8 |
_iPrint version: _aPardoe, Iain, 1970- _tApplied regression modeling. _b2nd ed. _dHoboken, NJ : Wiley, 2012 _z9781118097281 _w(DLC) 2012002030 |
| 856 | 4 | 0 |
_uhttp://onlinelibrary.wiley.com/book/10.1002/9781118345054 _zWiley Online Library |
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