Author: Stefan Wellek
Edition: 1
Publisher: Chapman and Hall/CRC
Binding: Hardcover
ISBN: 1584881607
Testing Statistical Hypotheses of Equivalence
Equivalence testing has grown significantly in importance over the last two decades, especially as its relevance to a variety of applications has become understood. Medical books Testing Statistical Hypotheses of Equivalence. Yet published work on the general methodology remains scattered in specialists' journals, and for the most part, it focuses on the relatively narrow topic of bioequivalence assessment.
With a far broader perspective, Testing Statistical Hypotheses of Equivalence provides the first comprehensive treatment of statistical equivalence testing. The author addresses a spectrum of specific, two-sided equivalence testing problems, from the one-sample problem with normally distributed observations of fixed known variance to problems involving several samples and multivariate data. The treatment includes a concise review of basic mathematical results on optimal tests for equivalence, and the author makes available on the Internet a collection of computer programs that allow easy implementation of the methods presented Medical books Testing Statistical Hypotheses Of Equivalence And Noninferi... Ebook. Buy Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition by Stefan Wellek and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!
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Buy Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition by Stefan Wellek and Read this Book on Kobo's Free Apps. Discover Kobo's Vast Collection of Ebooks Today - Over 3 Million Titles, Including 2 Million Free Ones!
author stefan wellek format hardback language english publication year 12 11 2002 subject medicine subject 2 medical nursing ancillary services title testing statistical hypotheses of equivalence author wellek stefan publisher crc pr i llc publication date nov 01 2002 pages 256 binding hardcover edition 1 st dimensions 6 25 wx 9 25 hx 0 75 d isbn 1584881607 subject mathematics probability statistics general brand new hardcover all orders get full access to our online status tracking service al
"While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations of fixed known variance to problems involving several dependent or independent samples and multivariate data. Along with expanding the material on noninferiority problems, this edition includes new chapters on equivalence tests for multivariate data
"While continuing to focus on methods of testing for two-sided equivalence, Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition gives much more attention to noninferiority testing. It covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with normally distributed observations of fixed known variance to problems involving several dependent or independent samples and multivariate data. Along with expanding the material on noninferiority problems, this edition includes new chapters on equivalence tests for multivariate data
Medical Book Testing Statistical Hypotheses of Equivalence
Yet published work on the general methodology remains scattered in specialists' journals, and for the most part, it focuses on the relatively narrow topic of bioequivalence assessment.
With a far broader perspective, Testing Statistical Hypotheses of Equivalence provides the first comprehensive treatment of statistical equivalence testing. The author addresses a spectrum of specific, two-sided equivalence testing problems, from the one-sample problem with normally distributed observations of fixed known variance to problems involving several samples and multivariate data. The treatment includes a concise review of basic mathematical results on optimal tests for equivalence, and the author makes available on the Internet a collection of computer programs that allow easy implementation of the methods presented.
In a field as complex and rich in potential applications as equivalence testing, Testing Statistical Hypotheses of Equivalence stands alone as a coherent reference that furnishes both the theoretical and practical tools needed for dealing with equivalence trials of any complexity and in any phase.
