{"product_id":"applied-statistics-isbn-9780471370383","title":"Applied Statistics","description":"This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student.\u003cbr\u003e * Rewritten to maintain clarity and brevity while expanding the coverage of previous editions.\u003cbr\u003e * Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout.\u003cbr\u003e * Includes both graded and challenging exercises.\u003cbr\u003e * Liberal computer discussions now supplemented with SAS and SPSS. Preface.\u003cbr\u003e \u003cbr\u003e 1. Data Screening.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 2. One-Way Analysis of Variance Design.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 3. Estimation and Simultaneous Inference.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 4. Hierarchical or Nested Design.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 5. Two Crossed Factors: Fixed Effects and Equal Sample Sizes.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 6 Randomized Complete Block Design.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 7. Two Crossed Factors: Fixed Effects and Unequal Sample Sizes.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 8. Crossed Factors: Mixed Models.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 9. Repeated Measures Designs.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 10. Linear Regression: Fixed X Model.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 11. Linear Regression: Random X Model and Correlation.\u003cbr\u003e \u003cbr\u003e Problem.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 12. Multiple Regression.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 13. Multiple and Partial Correlation.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 14. Miscellaneous Topics in Regression.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 15. Analysis of Covariance.\u003cbr\u003e \u003cbr\u003e Problems.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e 16. Summaries, Extensions, and Communication.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Appendix A.\u003cbr\u003e \u003cbr\u003e Appendix B.\u003cbr\u003e \u003cbr\u003e Index.  \"…beginning level graduate students in statistics will find this book very valuable.\" (\u003ci\u003eJournal of Statistical Computation and Simulation\u003c\/i\u003e, January 2006)  \u003cp\u003e\"…Overall this is an excellent book…I recommend this book to everyone…\" (\u003ci\u003eStatistical Methods in Medical Research\u003c\/i\u003e, Vol. 14, 2005)\u003c\/p\u003e \u003cp\u003e\"…The book is an excellent material for describing the data as well as a useful textbook for students to understand, apply and to interpret the statistical methods.\" (\u003ci\u003eZentralbaltt MATH\u003c\/i\u003e, May 2005)\u003c\/p\u003e \u003cp\u003e\"…it contains a wealth of useful up-to-date information and examples from the health sciences.\" (\u003ci\u003eTechnometrics\u003c\/i\u003e, November 2004)\u003c\/p\u003e \u003cp\u003e\"The level of the book is also more consistently intermediate...a few more advanced topics are now excluded.\" (\u003ci\u003eThe American Statistician\u003c\/i\u003e, August 2004)\u003c\/p\u003e \u003cb\u003eRUTH M. MICKEY, PHD\u003c\/b\u003e, is Professor of Statistics at the University of Vermont in Burlington. \u003cp\u003e\u003cb\u003eOLIVE JEAN DUNN, PHD\u003c\/b\u003e, is Professor Emeritus at the University of California, Los Angeles.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVIRGINIA A. CLARK, PHD\u003c\/b\u003e, is also Professor Emeritus at the University of California, Los Angeles. Drs. Dunn and Clark are the authors of \u003ci\u003eBasic Statistics: A Primer for Biomedical Sciences\u003c\/i\u003e, Third Edition, published by Wiley.\u003c\/p\u003e \u003cb\u003eA valuable new edition of a standard in the field of statistics\u003c\/b\u003e \u003cp\u003eFor the ever-increasing number of practitioners who must perform sophisticated statistical analyses on computers, Applied Statistics: Analysis of Variance and Regression has long been a standard reference and text. This new Third Edition has been thoroughly revised to provide a comprehensive and up-to-date combination of sound statistical methodology, practical advice on the application of this methodology, and interpretation of output from statistical programs.\u003c\/p\u003e \u003cp\u003eSpecial features of this edition include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA highly readable text, with mathematical background kept at a low level\u003c\/li\u003e \u003cli\u003eComprehensive treatment of each topic, from summarization of data to presentation of results\u003c\/li\u003e \u003cli\u003eCareful explanation of assumptions, how to check if the data meet them, and what to do if they don't\u003c\/li\u003e \u003cli\u003eA greater emphasis on regression, data screening, and confidence intervals\u003c\/li\u003e \u003cli\u003eIn-depth discussion of design-related topics such as mixed models and random effects\u003c\/li\u003e \u003cli\u003eGraded and challenging exercises at the end of each chapter and on the Wiley ftp site\u003c\/li\u003e \u003cli\u003eOverviews of more advanced topics\u003c\/li\u003e \u003cli\u003eAn extensively revised chapter on repeated measures designs\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eEminently suitable for students and researchers who may not have a calculus background as well as for more advanced practitioners, this self-contained, comprehensive treatment of variance and regression analysis readies a new generation of researchers for the demands of this growing field.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47988754055397,"sku":"NP9780471370383","price":194.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471370383.jpg?v=1761781459","url":"https:\/\/k12savings.com\/products\/applied-statistics-isbn-9780471370383","provider":"K12savings","version":"1.0","type":"link"}