7 edition of **Testing statistical hypotheses of equivalence** found in the catalog.

- 149 Want to read
- 30 Currently reading

Published
**2003**
by Chapman & Hall/CRC in Boca Raton, FL
.

Written in English

- Statistical hypothesis testing.

**Edition Notes**

Includes bibliographical references (p. [267]-274) and indexes.

Statement | Stefan Wellek. |

Classifications | |
---|---|

LC Classifications | QA277 .W46 2003, QA277 .W46 2003 |

The Physical Object | |

Pagination | xv, 284 p. : |

Number of Pages | 284 |

ID Numbers | |

Open Library | OL18184722M |

ISBN 10 | 1584881607 |

LC Control Number | 2002031307 |

The alternative hypothesis (H1) is typically what the researcher is trying to find: a different outcome for a treatment and control group in an experiment, a regression coefficient that is non-zero, etc. Recently, several independent colleagues have asked me if there's a statistical way to show that an effect is zero, or, that there's no difference between groups. Click on the article title to read more.

Statistical hypothesis testing is a key technique of both frequentist inference and Bayesian inference, although the two types of inference have notable differences. Statistical hypothesis tests define a procedure that controls (fixes) the probability of incorrectly deciding that a default position (null hypothesis) is incorrect. Hypothesis Testing With an Application to Dairy Nutrition Studies. Journal of Animal Science, Wellek, S.(). Testing statistical hypotheses of .

FOUR STEPS TO HYPOTHESIS TESTING The goal of hypothesis testing is to determine the likelihood that a population parameter, such as the mean, is likely to be true. In this section, we describe the four steps of hypothesis testing that were briefly introduced in Section Step 1: State the hypotheses. Step 2: Set the criteria for a decision. More generally, the problem may consist of determining equivalence across several parameters, but only the simple real-valued case is treated here. A very nice recent account of testing hypotheses of equivalence is given in [17]. For the remainder of the paper, .

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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 Cited by: 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 Cited by: Book Description.

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. Summary. 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. 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. 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. Download. Testing Statistical Hypotheses of Equivalence. Testing Statistical Hypotheses of Equivalence book. 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 Cited by: 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 Price: $ (CRC Press: Boca Raton, FL) -- While continuing to focus on methods of testing for two-sided equivalence, the second edition of Testing Statistical Hypotheses of Equivalence and Noninferiority (CRC Press, ) gives much more attention to noninferiority testing.

Author Stefan Wellak covers a spectrum of equivalence testing problems of both types, ranging from a one-sample problem with. Get this from a library. Testing statistical hypotheses of equivalence and noninferiority. [Stefan Wellek] -- 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.

Presents a comprehensive treatment of statistical equivalence testing. This title 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 various samples and multivariate data.

New Book Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition. Augustin Ashoka. Download Testing Statistical Hypotheses of Equivalence and Noninferiority Second Edition PDF Online. Prien Collection Book. Testing statistical hypotheses of equivalence by Wellek, Stefan.

Publication date Topics Statistical hypothesis testing Publisher Boca Raton, Fla.: Chapman & Hall/CRC Borrow this book to access EPUB and PDF files. IN COLLECTIONS. Books to Pages: Testing statistical hypotheses of equivalence Stefan Wellek.

Wellek (biostatistics, U. of Heidelberg, Germany) provides numerous solutions to the equivalence testing problems researchers in the medical field encounter as they seek to analyze real data sets.

The initial chapters contain discussion of testing for noninferiority used in clinical. 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.

The third edition of Testing Statistical Hypotheses updates and expands upon the classic graduate text, emphasizing optimality theory for hypothesis testing and confidence sets.

The principal additions include a rigorous treatment of large sample optimality, together with the requisite tools. Stanford Libraries' official online search tool for books, media, journals, databases, government documents and : Wellek, Stefan. The sections on multiple testing and goodness of fit testing are expanded.

The text is suitable for Ph.D. students in statistics and includes over new problems out of a total of more than Category: Mathematics Testing Statistical Hypotheses Of Equivalence And Noninferiority.

Short Book Reviews Editor: Simo Puntanen. Testing Statistical Hypotheses of Equivalence and Noninferiority, Second Edition by Stefan Wellek. David J. Hand. Mathematics Department, Imperial College London SW7 2AZ, UK [email protected] Search for more papers by this author.

David J. by: 1. 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 5/5(1).

hypothesis testing is the theory of measure in abstract spaces. Since introductory courses in real variables or measure theory frequently pre-sent only Lebesgue measure, a brief orientation with regard to the ab-stract theory is given in Sections 1 and 2 of Chapter2.

Actually, much of the book can be read without knowledge of measure theory if the. Medical Book Testing Statistical Hypotheses Optimality considerations continue to provide the organizing principle. However, they are now tempered by a much stronger emphasis on the robustness properties of the resulting procedures.

This book is an essential reference for any graduate student in statistics.that they may be evaluated by appropriate statistical techniques. There are two hypotheses involved in hypothesis testing Null hypothesis H 0: It is the hypothesis to be tested.

Alternative hypothesis H A: It is a statement of what we believe is true if our sample data cause us to reject the null hypothesis Text Book: Basic Concepts and.