Displaying similar documents to “A one-way ANOVA test for functional data with graphical interpretation”

Tables for the two-sample Haga test of location

Stanislav Hojek (1978)

Aplikace matematiky

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The rank statistic H based on the number of exceeding observations in two samples is suitable for testing difference in location of two samples. This paper contains tables of one-sides significance levels P { H ≥ k } for k = 7 , 8 , ... , 11 ; m a x ( 2 , n - 10 ) < m ≤ n ≤ 25 , k = 9 , 10 , ... , 13 ; m a x ( 2 , n - 15 ) < m ≤ n - 10 ; 13 ≤ n ≤ 25 ; k = 11 , 12 , ... , 15 ; 2 < m ≤ n - 15 , 18 ≤ n ≤ 25 , which includes almost all practically used significance levels for 3 ≤ m ≤ n ≤ 25 , where m , n are the sample sizes.

Some consistent exponentiality tests based on Puri-Rubin and Desu characterizations

Marija Cuparić, Bojana Milošević, Yakov Yu. Nikitin, Marko Obradović (2020)

Applications of Mathematics

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We present new goodness-of-fit tests for the exponential distribution based on equidistribution type characterizations. For the construction of the test statistics, we employ an L 2 -distance between the corresponding V-empirical distribution functions. The resulting test statistics are V-statistics, free of the scale parameter. The quality of the tests is assessed through local Bahadur efficiencies as well as the empirical power for small and moderate sample sizes. According to both criteria,...

The behavior of locally most powerful tests

Marek Omelka (2005)

Kybernetika

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The locally most powerful (LMP) tests of the hypothesis H : θ = θ 0 against one-sided as well as two-sided alternatives are compared with several competitive tests, as the likelihood ratio tests, the Wald-type tests and the Rao score tests, for several distribution shapes and for location, shape and vector parameters. A simulation study confirms the importance of the condition of local unbiasedness of the test, and shows that the LMP test can sometimes dominate the other tests only in a very restricted...

Goodness-of-fit test for long range dependent processes

Gilles Fay, Anne Philippe (2010)

ESAIM: Probability and Statistics

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In this paper, we make use of the information measure introduced by Mokkadem (1997) for building a goodness-of-fit test for long-range dependent processes. Our test statistic is performed in the frequency domain and writes as a non linear functional of the normalized periodogram. We establish the asymptotic distribution of our statistic under the null hypothesis. Under specific alternative hypotheses, we prove that the power converges to one. The performance of our test procedure is illustrated...