Testing Statistical Hypotheses Of Equivalence
by Stefan Wellek /
2002 / English / DjVu
1.6 MB Download
Equivalence testing has grown significantly in importance over the
last two decades, especially as its relevance to a variety of
applications has become understood. 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.
Equivalence testing has grown significantly in importance over the
last two decades, especially as its relevance to a variety of
applications has become understood. 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.
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.
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.
