On a two-sample procedure for testing Student's hypothesis using mean range
Josef Machek (1959)
Aplikace matematiky
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Displaying similar documents to “A non-parametric test of comparing dispersions”
On a two-sample procedure for testing Student's hypothesis using mean range
Berry-Esseen type estimations for multi-sample -statistics.
Gadasina, L.V. (2005)
Zapiski Nauchnykh Seminarov POMI
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On testing the equality of parameters in rectangular populations for unequal sample sizes
W. Klonecki (1964)
Colloquium Mathematicae
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On two families of tests for normality with empirical description of their performances
Dominik Szynal, Waldemar Wołyński (2014)
Discussiones Mathematicae Probability and Statistics
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We discuss two families of tests for normality based on characterizations of continuous distributions via order statistics and record values. Simulations of their powers show that they are competitive to widely recommended tests in the literature.
Bootstrap method for central and intermediate order statistics under power normalization
Haroon Mohamed Barakat, E. M. Nigm, O. M. Khaled (2015)
Kybernetika
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It has been known for a long time that for bootstrapping the distribution of the extremes under the traditional linear normalization of a sample consistently, the bootstrap sample size needs to be of smaller order than the original sample size. In this paper, we show that the same is true if we use the bootstrap for estimating a central, or an intermediate quantile under power normalization. A simulation study illustrates and corroborates theoretical results.
Reform of studies in mathematical statistics, actuarial mathematics and econometrics in Czechoslovakia
(1948)
Aktuárské vědy
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On two theorems of Bartoszewicz
K. Sarkadi (1980)
Applicationes Mathematicae
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Five Turning Points in the Historical Progress of Statistics - My Personal Vision
von Collani, Elart (2014)
Serdica Journal of Computing
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Statistics has penetrated almost all branches of science and all areas of human endeavor. At the same time, statistics is not only misunderstood, misused and abused to a frightening extent, but it is also often much disliked by students in colleges and universities. This lecture discusses/covers/addresses the historical development of statistics, aiming at identifying the most important turning points that led to the present state of statistics and at answering the questions “What went...