Neymann-Pearson type test of hypotheses about random parameters
H. P. Jagani (1974)
Matematički Vesnik
Similarity:
Displaying similar documents to “Reliability of Random Number Tables”
Neymann-Pearson type test of hypotheses about random parameters
On the limit behavior of a sequence of quantiles of a sample with a random number of items
D. Szynal (1973)
Applicationes Mathematicae
Similarity:
Some rank tests of independence and the question of their power-function
Milan Krišťák (1971)
Aplikace matematiky
Similarity:
Statistical analysis of time series with scaling indices.
Atmanspacher, Harald, Ehm, Werner, Scheingraber, Herbert, Wiedenmann, Gerda (2001)
Discrete Dynamics in Nature and Society
Similarity:
Experimental properties of some additive pseudorandom number generators with random shuffling
Jaroslav Král (1971)
Aplikace matematiky
Similarity:
A modified Anderson-Darling test for uniformity.
Rahman, Mezbahur, Pearson, Larry M., Heien, Herbert C. (2006)
Bulletin of the Malaysian Mathematical Sciences Society. Second Series
Similarity:
New variance ratio tests to identify random walk from the general mean reversion model.
Lam, Kin, Wong, May Chun Mei, Wong, Wing-Keung (2006)
Journal of Applied Mathematics and Decision Sciences
Similarity:
Computing the distribution of a linear combination of inverted gamma variables
Viktor Witkovský (2001)
Kybernetika
Similarity:
A formula for evaluation of the distribution of a linear combination of independent inverted gamma random variables by one-dimensional numerical integration is presented. The formula is direct application of the inversion formula given by Gil–Pelaez [gil-pelaez]. This method is applied to computation of the generalized -values used for exact significance testing and interval estimation of the parameter of interest in the Behrens–Fisher problem and for variance components in balanced...
Some aspects of the conditional inference when the sample size is random.
A.K.P.C. Swain (1983)
Trabajos de Estadística e Investigación Operativa
Similarity:
The conditional test is compared with other relevant test procedures for testing parameters of Normal and Exponential populations. It is seen that under certain conditions the conditional test is more powerful than the relevant unconditional tests. An example is provided where the conditional test given the ancillary is uniformaly more powerful than the obvious unconditional test.