Kontakt
Jak nakupovat
Doručení
Nákupní rádce
A Multiple-Testing Approach to the Multivariate Behrens-Fisher Problem
with Simulations and Examples in SAS®
Angličtina
95 b
Až 30 dní na vrácení zboží
Zákazníci také koupili
/
Brožovaná
678
Kč
/
Pevná
792
Kč
/
Brožovaná
549
Kč
/
Brožovaná
1 323
Kč
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 equal, based on two independent samples. In his 1935 paper, Fisher outlined an approach to the Behrens-Fisher problem. Since high-speed computers were not available in Fisher s time, this approach was not implementable and was soon forgotten. Fortunately, now that high-speed computers are available, this approach can easily be implemented using just a desktop or a laptop computer. Furthermore, Fisher s approach was proposed for univariate samples. But this approach can also be generalized to the multivariate case.§In this monograph, we present the solution to the afore-mentioned multivariate generalization of the Behrens-Fisher problem. We start out by presenting a test of multivariate normality, proceed to test(s) of equality of covariance matrices, and end with our solution to the multivariate Behrens-Fisher problem. All methods proposed in this monograph will be include both the randomly-incomplete-data case as well as the complete-data case. Moreover, all methods considered in this monograph will be tested using both simulations and examples.
Informace o knize
Angličtina
Darujte tuto knihu ještě dnes
Je to snadné
1 Přidejte knihu do košíku a zvolte doručit jako dárek 2 Obratem vám zašleme poukaz 3 Kniha dorazí na adresu obdarovanéhoMohlo by vás také zajímat
/
Brožovaná
905
Kč
/
Brožovaná
2 829
Kč
Ahoj! Jsem Libroamiko, tvůj knižní rádce.
Jak ti můžu pomoct?