Results 61 to 70 of about 125 (113)
A review of tests for exponentiality with Monte Carlo comparisons. [PDF]
J Appl Stat, 2022 Ossai EO, Madukaife MS, Oladugba AV.
europepmc +1 more source
Entropy Optimization, Maxwell-Boltzmann, and Rayleigh Distributions. [PDF]
Entropy (Basel), 2021 Sebastian N, Mathai AM, Haubold HJ.
europepmc +1 more source
Bayes Posterior Convergence for Loss Functions via Almost Additive Thermodynamic Formalism. [PDF]
J Stat Phys, 2022 Lopes AO, Lopes SRC, Varandas P.
europepmc +1 more source
A new statistical approach to model the counts of novel coronavirus cases. [PDF]
Math Sci (Karaj), 2022 El-Morshedy M, Altun E, Eliwa MS.
europepmc +1 more source
Characterization of the p-generalized normal distribution
It is a well known fact that invariance under the orthogonal group and marginal independence uniquely characterizes the isotropic normal distribution. Here, a similar characterization is provided for the more general class of differentiable bounded Lp ...
Sinz, Fabian +2 more
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Parameter estimation in Linnik laws
, 2007 Asymptotic properties for de Haan's [13, 14] estimator of the index of a family of laws, containing the Paretian laws, are first studied. Then this estimator as well as others similar to those proposed by Press [32] for stable laws are used for the ...
Christiane Jacques +2 more
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Some characterizations of discrete unimodality
Let F be a discrete distribution function on . This paper gives a characterization of discrete unimodal distribution functions (Theorem 5.1) and a representation theorem for those distribution functions (Theorem 6.3), both in terms of their Lévy ...
Bertin, Emile M. J., Theodorescu, Radu
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Issues in Bayesian Loss Robustness
, 2007 Bayesian robustness has concentrated mainly on checking sensitivity of a Bayesian analysis with respect to changes in the prior or the model. We deal here with several issues concerning robust Bayesian analysis with respect to the loss function. Stemming
Jacinto Martín +3 more
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Testing simultaneously different covariance block diagonal structures - the multi-sample case. [PDF]
J Appl Stat, 2020 Marques FJ, Coelho CA.
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What do the arithmetic, geometric and harmonic means tell us in length-biased sampling?
Properties of the A.M., G.M. and H.M. for length-biased distributions are studied in a nonparametric fashion. Unbiased estimation of the coefficient of variation is considered, and a characterization of length-biased distributions is also made in this ...
Sen, Pranab Kumar
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