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The two parameter Poisson-Dirichlet distribution PD( , ) is the distribution of an infinite dimensional random discrete probability. It is a generalization of Kingman’s Poisson-Dirichlet distributi...
Jiang, Dickey, and Kuo [12] gave the multivariate c-characteristic function and showed that it has properties similar to those of the multivariate Fourier transformation. We first give the multivariat...
The paper studies the asymptotic behavior of Random Algebraic Riccati Equations (RARE) arising in Kalman filtering when the arrival of the observations is described by a Bernoulli i.i.d. process. We ...
We obtained estimation results concerning a progressively type-II censored sample from a two-parameter Weibull distribution. The maximum likelihood method is used to derive the point estimators of the...
The present article describes a Conditional Inverse Gaussian-Poisson (CIGP) distribution, obtained by conditioning an inverse Gaussian-Poisson population model on its total frequency. This CIGP distri...
In the present paper, we consider the problem of estimating a ratio ρ = E(Y) / E(X) in a regression model Y = α + βX + U. We obtain the higher order approximation of the probability distribution of th...
Skewed symmetric distributions have attracted a great deal of attention in the last few years. One of them, the skewed Pearson type VII distribution suffers from limited applicability because it is we...
The problem of estimating the inverse matrix of scale parameters of an elliptically contoured distribution is considered with respect to Stein’s loss function. It is shown that improvement of the esti...
Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having di®erent approaches and ¯elds of applications. Log-linear mod...
A weighted rank correlation coefficient, inspired by Spearman’s rank correlation coefficient, has been proposed recently by Pinto da Costa & Soares [5]. Unlike Spearman’s coefficient, which treats a...
We investigate the limit of the excess distribution of aU+ bV in case of an EVD with arbitrary margins and with arbitrary scale parameters a, b > 0. It turns out that the limiting excess df may have a...
In 1985 Hosking et al. estimated with the so-called Probability-Weighted Moments (PWM) method the parameters of the Generalized Extreme Value (GEV) distribution, the latter being classically fitted ...
The eight basic elements to design genetic algorithms (GA) are described and applied to solve a low demand distribution problem of passengers for a hub airport in Alicante and 30 touristic destinati...
The main aim is to estimate the noncentrality matrix of a noncentral Wishart distribution. The method used is Leung’s but generalized to a matrix loss function. Parallelly Leung’s scalar noncentral Wi...
The main aim is to estimate the noncentrality matrix of a noncentral Wishart distribution. The method used is Leung’s but generalized to a matrix loss function. Parallelly Leung’s scalar noncentral Wi...

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