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RISDoes adding data always improve linear regression estimates?
ناشر: Elsevier Science
سال: 2013
Strong consistency of the internal estimator of nonparametric regression with dependent data
ناشر: Elsevier Science
سال: 2013
Asymptotic properties of maximum likelihood estimator for two step logit models
ناشر: Elsevier Science
سال: 2014
Asymptotics of the signed rank estimator under dependent observations
ناشر: Elsevier Science
سال: 2014
Asymptotic behaviors of nearest neighbor kernel density estimator in left-truncated data
سال: 2014
خلاصه:
Kernel density estimators are the basic tools for density estimation in non-parametric statistics. The k-nearest neighbor kernel estimators represent a special form of kernel density estimators, in which the ...
ESTIMATION OF THE SURVIVAL FUNCTION FOR ADISCRETE-TIME STOCHASTIC PROCESS
سال: 2009
خلاصه:
mixing and
we show strong consistency and pointwise as well as uniform of Fn (x) are depended on
the behavior of a special quadratic characteristic....
Noise space decomposition method for two dimensional sinusoidal model
ناشر: Elsevier Science
سال: 2013
Efficient algorithm for estimating the parameters of two dimensional chirp signal
ناشر: Indian Statistical Institute
سال: 2013
Standard maximum likelihood drift parameter estimator in the homogeneous diffusion model is always strongly consistent
ناشر: Elsevier Science
سال: 2014