Multiple-testing approach to the multivariate behrens-fisher problem with simulations and examples in SAS
Desai, Tejas
Multiple-testing approach to the multivariate behrens-fisher problem with simulations and examples in SAS - 1st ed. - New York Springer 2013 - v, 55 p. 24 cm
Gratis by Dr. Tejas Desai
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.
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
9781461464426
Bayesian statistical decision theory
Bioinformatics -- Statistical methods
519.542 DES
Multiple-testing approach to the multivariate behrens-fisher problem with simulations and examples in SAS - 1st ed. - New York Springer 2013 - v, 55 p. 24 cm
Gratis by Dr. Tejas Desai
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.
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
9781461464426
Bayesian statistical decision theory
Bioinformatics -- Statistical methods
519.542 DES