A Fixed Sample Size Selection Procedure Negative Binomial Populations.
A functional central limit theorem for martingales in C(K) and its application to sequential estimates.
A functional combinatorial central limit theorem.
A functional equation arising in multi-agent statistical decision theory.
A functional hungarian construction for sums of independent random variables
A Further Note on Some Wishart Expectations.
A Further Note on the Asymptotic Efficiency of Friedman's xr2-Test.
A game model referring to the control of independent discrete time stochastic processes
A general class of entropy statistics
To study the asymptotic properties of entropy estimates, we use a unified expression, called the -entropy. Asymptotic distributions for these statistics are given in several cases when maximum likelihood estimators are considered, so they can be used to construct confidence intervals and to test statistical hypotheses based on one or more samples. These results can also be applied to multinomial populations.
A General Class of Estimators for Estimating Population Mean Using Auxiliary Information.
A general procedure of estimating the population mean in the presence of non-response under double sampling using auxiliary information.
A General Recurrence Relation for Moments of Order Statistics in a Class of Probability Distributions and Characterizations.
A Generalisation of Gumbel's Bivariate Logistic Distribution
A generalization of the Gumbel distribution
A Generalization of Wilcoxon's Test.
A generalization of Wishart density for the case when the inverse of the covariance matrix is a band matrix
In a multivariate normal distribution, let the inverse of the covariance matrix be a band matrix. The distribution of the sufficient statistic for the covariance matrix is derived for this case. It is a generalization of the Wishart distribution. The distribution may be used for unbiased density estimation and construction of classification rules.
A generalized beta function and associated probability density.
A generalized bivariate lifetime distribution based on parallel-series structures
In this paper, a generalized bivariate lifetime distribution is introduced. This new model is constructed based on a dependent model consisting of two parallel-series systems which have a random number of parallel subsystems with fixed components connected in series. The probability that one system fails before the other one is measured by using competing risks. Using the extreme-value copulas, the dependence structure of the proposed model is studied. Kendall's tau, Spearman's rho and tail dependences...
A generalized Markov decision process
A Generalized Maximum Likelihood Characterization of the Normal Distribution.