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2.845  Articles
1 of 285 pages  |  10  records  |  more records»
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

Stute (1986) has introduced the symmetrized nearest neighbor (SNN) kernel estimator to estimate the conditional quantiles in the univariate case. This estimator is here extended to the multivariate case. Two methods were proposed for the derivation of the... see more

A good  estimator has to fulfill some propertries such as unbiased, efficient and consistent. This research aims to study consistency and asymptotic normality of maximum likelihood estimator in MARS binary response model of Friedman, for predicting t... see more

We study n independent stochastic processes(xi (t),tiЄ[o,t1 ],i=1,......n) defined by a stochastic differential equation with diffusion coefficients depending nonlinearly on a random variables  and  (the random effects).The distributi... see more

It is clear that the likelihood ratio statistics plays an important role in theories of asymptotical estimation and hypothesis testing. The aim of the paper is to investigate the asymptotic properties of likelihood ratio statistics in competing risks mode... see more

We consider the problem of parameter estimation by the observations of inhomogeneous Poisson processes. The intensity function of the process is supposed to be a smooth function with respect to the unknown parameter. We propose a Chi-square statistic on t... 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

This paper offers sufficient conditions for the Miller–Madow estimator and the jackknife estimator of entropy to have respective asymptotic normalities on countably infinite alphabets.

Box-Cox transformation is often used to reduce heterogeneity and to achieve a symmetric distribution of response variable. In this paper, we estimate the parameters of Box-Cox transformed ARCH(1) model using second-order leastsquare method and then we stu... see more

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