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: 2286 CZK
Availability: InStock

Autor: Johan C. Akkerboom

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag New York Inc.

Dostupnost: Skladem u dodavatele

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2 286 Kč

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

Informace o knize

Autor

Johan C. Akkerboom

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

1990

Stránek

291

EAN

9780387972329

ISBN

9780387972329

Enbook ID

06624867

Vydavatel

Springer-Verlag New York Inc.

Hmotnost

531

Rozměry

170 x 242 x 17

Kompletní popis

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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