Matches in Library of Congress for { <http://lccn.loc.gov/2012002030> ?p ?o. }
Showing items 1 to 21 of
21
with 100 items per page.
- 2012002030 contributor B12429173.
- 2012002030 created "2012.".
- 2012002030 date "2012".
- 2012002030 date "2012.".
- 2012002030 dateCopyrighted "2012.".
- 2012002030 description "Includes bibliographical references (p. [309]-313) and index.".
- 2012002030 description "Machine generated contents note: Preface xiAcknowledgments xviiIntroduction xvii1.1 Statistics in practice xvii1.2 Learning statistics xix1. Foundations 11.1 Identifying and summarizing data 11.2 Population distributions 51.3 Selecting individuals at random--probability 91.4 Random sampling 111.5 Interval estimation 151.6 Hypothesis testing 191.7 Random errors and prediction 251.8 Chapter summary 28Problems 292. Simple linear regression 352.1 Probability model for X and Y 352.2 Least squares criterion 402.3 Model evaluation 452.4 Model assumptions 592.5 Model interpretation 662.6 Estimation and prediction 682.7 Chapter summary 72Problems 783. Multiple linear regression 833.1 Probability model for (X1; X2; : : : ) and Y 833.2 Least squares criterion 873.3 Model evaluation 923.4 Model assumptions 1183.5 Model interpretation 1243.6 Estimation and prediction 1263.7 Chapter summary 130Problems 1324. Regression model building I 1374.1 Transformations 1384.2 Interactions 1594.3 Qualitative predictors 1664.4 Chapter summary 182Problems 1845. Regression model building II 1895.1 Influential points 1895.2 Regression pitfalls 1995.3 Model building guidelines 2185.4 Model selection 2215.5 Model interpretation using graphics 2245.6 Chapter summary 231Problems 2346. Case studies 2436.1 Home prices 2436.2 Vehicle fuel efficiency 2536.3 Pharmaceutical patches 2617. Extensions 2677.1 Generalized linear models 2687.2 Discrete choice models 2757.3 Multilevel models 2787.4 Bayesian modeling 280Appendix A. Computer software help 285Appendix B. Critical values for t distributions 289Appendix C. Notation and formulas 293Appendix D. Mathematics refresher 297Appendix E. Answers to selected problems 299References 309Glossary 315Index 321.".
- 2012002030 extent "xx, 325 p. :".
- 2012002030 identifier "9781118097281 (hardback)".
- 2012002030 issued "2012".
- 2012002030 issued "2012.".
- 2012002030 language "eng".
- 2012002030 publisher "Hoboken, NJ : Wiley,".
- 2012002030 subject "519.5/36 23".
- 2012002030 subject "MATHEMATICS / Probability & Statistics / Regression Analysis. bisacsh".
- 2012002030 subject "QA278.2 .P363 2012".
- 2012002030 subject "Regression analysis.".
- 2012002030 subject "Statistics.".
- 2012002030 tableOfContents "Machine generated contents note: Preface xiAcknowledgments xviiIntroduction xvii1.1 Statistics in practice xvii1.2 Learning statistics xix1. Foundations 11.1 Identifying and summarizing data 11.2 Population distributions 51.3 Selecting individuals at random--probability 91.4 Random sampling 111.5 Interval estimation 151.6 Hypothesis testing 191.7 Random errors and prediction 251.8 Chapter summary 28Problems 292. Simple linear regression 352.1 Probability model for X and Y 352.2 Least squares criterion 402.3 Model evaluation 452.4 Model assumptions 592.5 Model interpretation 662.6 Estimation and prediction 682.7 Chapter summary 72Problems 783. Multiple linear regression 833.1 Probability model for (X1; X2; : : : ) and Y 833.2 Least squares criterion 873.3 Model evaluation 923.4 Model assumptions 1183.5 Model interpretation 1243.6 Estimation and prediction 1263.7 Chapter summary 130Problems 1324. Regression model building I 1374.1 Transformations 1384.2 Interactions 1594.3 Qualitative predictors 1664.4 Chapter summary 182Problems 1845. Regression model building II 1895.1 Influential points 1895.2 Regression pitfalls 1995.3 Model building guidelines 2185.4 Model selection 2215.5 Model interpretation using graphics 2245.6 Chapter summary 231Problems 2346. Case studies 2436.1 Home prices 2436.2 Vehicle fuel efficiency 2536.3 Pharmaceutical patches 2617. Extensions 2677.1 Generalized linear models 2687.2 Discrete choice models 2757.3 Multilevel models 2787.4 Bayesian modeling 280Appendix A. Computer software help 285Appendix B. Critical values for t distributions 289Appendix C. Notation and formulas 293Appendix D. Mathematics refresher 297Appendix E. Answers to selected problems 299References 309Glossary 315Index 321.".
- 2012002030 title "Applied regression modeling / Iain Pardoe.".
- 2012002030 type "text".