Permutation, Parametric, and Bootstrap Tests of Hypotheses (English, Phillip I. Good)
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Specifications
| Publisher | Springer |
| Language | English |
| ISBN-13 | 9780387202792 |
| ISBN-10 | 038720279X |
| Author | Phillip I. Good |
Product Description
Here on GlowMirror, you'll find Permutation, Parametric, and Bootstrap Tests of Hypotheses filed under Springer -- everything you need to know is covered below.
About the Book
This text is intended to provide a strong theoretical background in testing hypotheses and decision theory for those who will be practicing in the real worldorwhowillbeparticipatinginthetrainingofreal-worldstatisticiansand biostatisticians. In previous editions of this text, my rhetoric was somewhat tentative. I was saying, in e?ect, "Gee guys, permutation methods provide a practical real-world alternative to asymptotic parametric approximations.…
ISBN: 9780387202792
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Permutation, Parametric, and Bootstrap Tests of Hypotheses
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Springer
Who Should Read This
Students and professionals interested in Springer, as well as general readers looking to expand their knowledge.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
Customer Reviews
Synopsis of a JASA review
David Annnis reviews this book in JASA 472 (December 2005). He begins by quoting the author's preface, where Good says he aims to "replace, rather than supplement, existing graduate level texts on testing hypotheses and decision theory."The key points Annis makes are* This edition is considerably expanded, including a chapter on statistical distributions and a "measure theoretic appendix."* There is a new inclusive bibliography.* "The chapters stand alone." Topics include one-sample tests,
