Introduction to Statistics Through Resampling Methods and R/S-PLUS

Beschreibung

Stimulate learning through discovery With its emphasis on the discovery method, this book allowsreaders to discover solutions on their own rather than simply copyanswers or apply a formula by rote. Readers will quickly master andlearn to apply statistical methods, such as bootstrap, decisiontrees, and permutations, to better characterize, report, test, andclassify their research findings. In addition to traditionalmethods, specialized methods are covered, allowing readers toselect and apply the most effective method for their research,including: * Tests and estimation procedures for one, two, and multiplesamples * Model building * Multivariate analysis * Complex experimental design Throughout the text, the R programming language is used toillustrate new concepts and assist readers in completing exercises.Readers may download the freely available R programming languagefrom the Internet or take advantage of the menu-driven S-PLUS®program. Written in an informal, highly accessible style, this text is anexcellent guide to descriptive statistics, estimation, testinghypotheses, and model building. All the pedagogical tools needed tofacilitate quick learning are provided: * More than two hundred exercises scattered throughout the textstimulate readers' thinking and actively engage them in applyingtheir newfound skills * Companion FTP site provides access to all data sets andprograms discussed in the text * Dozens of thought-provoking questions in the final chapter,Problem Solving, assist readers in applying statistics to addressreal-life problems * Instructor's manual provides answers to exercises * Helpful appendices include an introduction to S-PLUS®features This text serves as an excellent introduction to statistics forstudents in all disciplines. The accessible style and focus onreal-life problem solving are perfectly suited for both studentsand practitioners.

Autor*in

Phillip I. Good

Themen in »Introduction to Statistics Through Resampling Methods and R/S-PLUS«

Computational & Graphical Statistics Probability & Mathematical Statistics Rechnergestützte u. graphische Statistik Statistics Statistik Wahrscheinlichkeitsrechnung u. mathematische Statistik

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".easy to read and provides many interesting examples."(The American Statistician, November 2006) "This is certainly one of the most impressive little paperback200-page introductory statistics books that I will eversee.it would make a good nightstand book for everystatistician." (Technometrics, May 2006) "Good, a well-published statistical expert, is adept atintroducing new ideas with well-structured scenarios, nicelyillustrating his points, and presenting them in an effective,conversational tone." (CHOICE, January 2006) "I would recommend this book to readers new to statistics,practitioners who lack the basics of statistical estimation andhypothesis, and students who need a side reference." (MAAReviews, January 3, 2006) ". clearly written and ha(s) a very informal style thatis pleasant to read, making the text accessible to the many."(Significance: Vol. 3, 2) ".the books have plenty of wise advice for the applicationof statistics." (Bulletin of Mathematical Biology,2007) '.a very good introduction to statistics and focuseson the variety of problems which will be of interest to students indifferent disciplines.' (Statistical Papers,48,2007)
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