Bounds for the Mediän of the Negative Binomial Distribution.
Bounds on the expectations of th record increments.
Characterizations of a mixture of two general distributions
Comparing algorithms based on marginal problem
The paper deals with practical aspects of decision making under uncertainty on finite sets. The model is based on marginal problem. Numerical behaviour of 10 different algorithms is compared in form of a study case on the data from the field of rheumatology. (Five of the algorithms types were suggested by A. Perez.) The algorithms (expert systems, inference engines) are studied in different situations (combinations of parameters).
Comparing estimation methods for the FPLD.
Components of goodness-of-fit statistics
Compound Gamma Bivariate Distributions.
Computing the distribution of a linear combination of inverted gamma variables
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 mixed linear...
Conditions nécessaires et suffisantes de convergence L1 en probabilité de l'histogramme pour une densité
Constructing median-unbiased estimators in one-parameter families of distributions via stochastic ordering
If θ ∈ Θ is an unknown real parameter of a given distribution, we are interested in constructing an exactly median-unbiased estimator θ̂ of θ, i.e. an estimator θ̂ such that a median Med(θ̂ ) of the estimator equals θ, uniformly over θ ∈ Θ. We shall consider the problem in the case of a fixed sample size n (nonasymptotic approach).
Construction of multivariate distributions: a review of some recent results.
The construction of multivariate distributions is an active field of research in theoretical and applied statistics. In this paper some recent developments in this field are reviewed. Specifically, we study and review the following set of methods: (a) Construction of multivariate distributions based on order statistics, (b) Methods based on mixtures, (c) Conditionally specified distributions, (d) Multivariate skew distributions, (e) Distributions based on the method of the variables in common and...
Coodness of fit test Statistics based on Riedwyl-type derivations
Core functions and core divergences of regular distributions
On bounded or unbounded intervals of the real line, we introduce classes of regular statistical families, called Johnson families because they are obtained using generalized Johnson transforms. We study in a rigorous manner the formerly introduced concept of core function of a distribution from a Johnson family, which is a modification of the well known score function and which in a one-to-one manner represents the distribution. Further, we study Johnson parametrized families obtained by Johnson...
Correlation analysis: Exact permutation paradigm
Departure of Bartlett's Distribution of the Homogeneity of Variances for Unequal Sample Sizes from that of Equal Sample Sizes.
Discrete generalized Liouville-type distribution and related multivariate distributions.
Discrete analogue of the Liouville distribution is defined and is termed as Discrete Generalized Liouville-Type Distribution (DGL-TD). Firstly, properties in its factorial and ordinary moments are given. Then by finding the covariance matrix, partial and multiple correlations for DGL-TD are evaluated. Multinomial, multivariate negative binomial and multivariate log series distributions are shown as particular cases of this general distribution. The asymptotic distribution of the estimates of the...
Distribucion of range and quasi-range from double truncated exponential distribution.
For a doubly truncated exponential distribution, the probability density function of a quasi-range is derived. From this the density of sample range is obtained as a special case. Expressions for the mean and variance of the range are also obtained.
Distribuciones continuas truncadas y sus funciones de medias.
En un trabajo anterior [6], se estudiaron las funciones de medias de distribuciones generales. En el presente trabajo, limitándonos a distribuciones de tipo continuo, se resuelve completamente la caracterización de las funciones de medias y el problema de inversión de la transformación funcional que se estudia.
Distribution of a random functional of a Ferguson-Dirichlet process over the unit sphere.
Distribution of a sum of independent positive generalized discrete random variables