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87.594  Articles
1 of 8.760 pages  |  10  records  |  more records»
The Hartman-Watson distribution arises in many areas of applied probability. But its probability density function is difficult to compute. Recently, [13] gave the first two terms of its asymptotic expansion. Here, we derive the probability density&nb... see more

The main goal of this paper is to study the asymptotic normality of the estimate of the Conditional Distribution Function of a scalar response variable Y given a hilbertian random variable X when the observations are the quasi-associated framework. Our ap... see more

We discuss the Z-production in a DIS (Deep Inelastic Scattering) process e + p ? e + Z + X using the Parton Model, within the context of the Standard Model. In contrast with deep inelastic eP-scattering (e + p ? e + X), where the choice of Q2, as the tran... see more

In the article authors develop an approach to calculating the statistic development probability for composite functions of square values in Gaussian casual process trajectories. Calculating distribution density for additive composite functions is based on... see more

In the current study, we have been derived some Bayesian estimations of the scale parameter of Maxwell distribution using the New loss function (NLF) which it called Generalized weighted loss function, assuming non-informative prior, namely, Jefferys prio... see more

We introduce sufficiently wide classes of non--linear functionals preserving normal (Gaussian) distribution and establish various conditions under which a sequence of such functionals is asymptotically normal. As one of a consequence we obtain a generaliz... see more

The generalized exponential (GE) distribution proposed by Gupta and Kundu (1999) is an important lifetime distribution in survival analysis. In this article, we propose to obtain Bayes estimators and its associated risk based on a class of  non-infor... see more

The goodness-of-fit test of Towhidi and Salmanpour (2007), which is based on the empirical characteristic function is used for testing the fit of the generalized exponential distribution. Monte Carlo procedures are employed to obtain the empirical percent... see more

In the current study, we have been derived some Bayesian estimations of the scale parameter of Maxwell distribution using the New loss function (NLF) which it called Generalized weighted loss function, assuming non-informative prior, namely, Jefferys prio... see more

1 of 8.760 pages  |  10  records  |  more records»