Testing Problems with Linear or Angular Inequality Constraints

Name: Testing Problems with Linear or Angular Inequality Constraints
Brand: Springer-Verlag New York Inc.
SKU: 9780387972329
Price: 105.41 EUR
Availability: InStock

Автор: Johan C. Akkerboom

Език:

Корици: С меки корици

Издател: Springer-Verlag New York Inc.

Наличност: Външен склад

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105.41 € 206.16 лв

Represents a self-contained account of a new promising and generally applicable approach to a large...

Информация за книгата

Автор

Johan C. Akkerboom

Език

Английски език

Корици

Книга - С меки корици

Издадена

1990

страници

291

EAN

9780387972329

ISBN

9780387972329

Enbook ID

06624867

Издател

Springer-Verlag New York Inc.

Теглоt

531

Размери

170 x 242 x 17

Пълно описание

Represents a self-contained account of a new promising and generally applicable approach to a large class of one-sided testing problems, where the alternative is restricted by at least two linear inequalities. It highlights the geometrical structure of these problems. It gives guidance in the construction of a so-called Circular Likelihood Ratio (CLR) test, which is obtained if the linear inequalities, or polyhedral cone, are replaced by one suitable angular inequality, or circular cone. Such a test will often constitute a nice and easy-to-use compromise between the LR-test and a suitable linear test against the original alternative. The book treats both theory and practice of CLR-tests. For cases with up to 13 linear inequalities, it evaluates the power of CLR-tests, derives the most stringent CLR-test, and provides tables of critical values. It is of interest both to the specialist in order- restricted inference and to the statistical consultant in need of simple and powerful one-sided tests. Many examples are worked out for ANOVA, goodness-of-fit, and contingency table problems. Case studies are devoted to Mokken's one- dimensional scaling model, one-sided treatment comparison in a two-period crossover trial, and some real data ANOVA- layouts (biology and educational psychology).

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Testing Problems with Linear or Angular Inequality Constraints

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