By Phillip I. Good
"Most introductory statistics books forget about or supply little recognition to resampling tools, and therefore one other new release learns the fewer than optimum equipment of statistical research. solid makes an attempt to therapy this example via writing an introductory textual content that makes a speciality of resampling tools, and he does it well."
— Ron C. Fryxell, Albion College
"...The wealth of the bibliography covers a variety of disciplines."
---Dr. Dimitris Karlis, Athens college of Economics
This completely revised moment version is a pragmatic consultant to info research utilizing the bootstrap, cross-validation, and permutation exams. it really is an important source for commercial statisticians, statistical specialists, and study execs in technology, engineering, and technology.
Only requiring minimum arithmetic past algebra, it offers a table-free advent to facts research using a variety of routines, useful facts units, and freely on hand statistical shareware.
Topics and Features:
* bargains more effective examples plus an extra bankruptcy devoted to regression and information mining concepts and their limitations
* makes use of resampling method of advent statistics
* a realistic presentation that covers all 3 sampling tools: bootstrap, density-estimation, and permutations
* comprises systematic consultant to assist one pick out the right kind strategy for a selected application
* special insurance of all 3 statistical methodologies: class, estimation, and speculation testing
* compatible for school room use and person, self-study purposes
* quite a few functional examples utilizing renowned laptop courses comparable to SAS®, Stata®, and StatXact®
* necessary appendixes with desktop courses and code to strengthen individualized methods
* Downloadable freeware from author’s web site: http://users.oco.net/drphilgood/resamp.htm
With its obtainable type and intuitive subject improvement, the e-book is a superb simple source for the facility, simplicity, and flexibility of the bootstrap, cross-validation, and permutation exams. scholars, pros, and researchers will locate it a prarticularly necessary guide for contemporary resampling tools and their functions.
Read or Download Resampling Methods: A Practical Guide to Data Analysis PDF
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