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pro vyhledávání: '"Harold B. Sackrowitz"'
Autor:
Harold B. Sackrowitz, Arthur Cohen
Publikováno v:
Handbook of Multiple Comparisons ISBN: 9780429030888
Handbook of Multiple Comparisons
Handbook of Multiple Comparisons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f30122979fc98fe1f17433ba81db884
https://doi.org/10.1201/9780429030888-6
https://doi.org/10.1201/9780429030888-6
Autor:
Harold B. Sackrowitz
Publikováno v:
CHANCE. 31:29-36
In American football, the game and the clock are temporarily stopped after one team scores a touchdown. Then that team has the opportunity to score either one or two extra points. The team can get ...
Autor:
Harold B. Sackrowitz, Arthur Cohen
Publikováno v:
Journal of Multivariate Analysis. 143:1-11
The problem of multiple testing of each of several treatment mean vectors versus a control mean vector is considered. Both one-sided and two-sided alternatives are treated. It is shown that typical choices for marginal test procedures will lead to st
Publikováno v:
Biometrical journal. Biometrische Zeitschrift. 61(1)
The classical multiple testing model remains an important practical area of statistics with new approaches still being developed. In this paper we develop a new multiple testing procedure inspired by a method sometimes used in a problem with a differ
Publikováno v:
Statistical Methodology. 20:73-78
The method of Cohen, Ma and Sackrowitz (2012) [3] is applied to the problems of multiple testing and simultaneous interval estimation of correlated correlations. A large sample method is assumed and thus the basic statistics considered are Fisher’s
Publikováno v:
Biometrical Journal. 55:386-401
Multiple testing models have become an important part of statistical applications. Typically they can be presented as having M hypotheses each of which concerns an individual parameter. In addition to testing each of these hypotheses, there is often
Publikováno v:
Journal of Multivariate Analysis. 102:1339-1343
The change point problem for independent normal means is considered as a multiple testing problem. Two stepwise methods are considered. Namely, the binary segmentation method of Vostrikova (1981) [7] and the maximum residual down method of Cohen et a
Publikováno v:
Journal of Statistical Planning and Inference. 138:2615-2621
Consider the model where there are I independent multivariate normal treatment populations with p × 1 mean vectors μ i , i = 1 , … , I , and covariance matrix Σ . Independently the ( I + 1 ) st population corresponds to a control and it too is m
Publikováno v:
Biometrika. 95(2):295-305
Under the model of independent test statistics, we propose a two-parameter family of Bayes multiple testing procedures. The two parameters can be viewed as tuning parameters. Using the Benjamini--Hochberg step-up procedure for controlling false disco
Publikováno v:
Journal of Statistical Planning and Inference. 137:3352-3360
Cohen and Sackrowitz [2005. Characterization of Bayes procedures for multiple endpoint problems and inadmissibility of the step-up procedure. Ann. Statist. 33, 145–158; 2007. More on the inadmissibility of step-up. J. Multivariate Anal. 97, 481–4