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Multiple-testing approach to the multivariate behrens-fisher problem with simulations and examples in SAS

By: Desai, TejasMaterial type: Text

TextPublication details: New York Springer 2013Edition: 1st edDescription: v, 55 p. 24 cmISBN: 9781461464426Subject(s): Bayesian statistical decision theory | Bioinformatics -- Statistical methodsDDC classification: 519.542 DES

Contents:

On Testing for Multivariate Normality; On Testing Equality of Covariance Matrices; Simplex Method and Sensitivity Analysis.; Duality and Post-Optimal Analysis.; Transportation Model and Its Variants.; Network Models.; Advanced Linear Programming.; Goal Programming.; Heuristic Programming.; Traveling Salesperson Problem (TSP).; Deterministic Dynamic Programming.; Deterministic Inventory Models.; Review of Basic Probability.; Decision Analysis and games.; Probabilistic Inventory models.; Queuing Systems.; Queuing Systems.; Simulation Modeling.; Classical Optimization Theory.

Summary: In statistics, the Behrens-Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equa

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Holdings
Item type	Current library	Collection	Call number	Status	Notes	Date due	Barcode
Books	FMS Library	General	519.542 DES (Browse shelf(Opens below))	Available	Includes bibliographical references (p. 55)		M001688

Gratis by Dr. Tejas Desai

In statistics, the Behrens-Fisher problem is the problem of interval estimation and hypothesis testing concerning the difference between the means of two normally distributed populations when the variances of the two populations are not assumed to be equa

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