Results 91 to 100 of about 252 (167)
Bayesian inference in based-kernel regression: comparison of count data of condition factor of fish in pond systems. [PDF]
J Appl Stat, 2022 Senga Kiessé T +3 more
europepmc +1 more source
ASYMPTOTIC NORMALITY OF A KERNEL-TYPE ESTIMATOR FOR THE INTENSITY OF A PERIODIC POISSON PROCESS
, 2006 In this paper we prove asymptotic normality of a kernel type estimator for the intensity of a periodic Poisson process. This paper is a continuation of [10].
MANGKU, I W.
core +1 more source
Regression in tensor product spaces by the method of sieves. [PDF]
Electron J Stat, 2023 Zhang T, Simon N.
europepmc +1 more source
An alternate measure of the cumulative residual Sharma-Taneja-Mittal entropy
Analele Stiintifice ale Universitatii Ovidius Constanta: Seria MatematicaWe define a new alternate measure of the cumulative residual Sharma-Taneja-Mittal entropy. For this measure, there are given upper and lower bounds, is introduced a consistent test based on the uniform distribution and some concrete numerical examples ...
Sfetcu Răzvan-Cornel +2 more
doaj +1 more source
A dependent counting INAR model with serially dependent innovation. [PDF]
J Appl Stat, 2021 Shirozhan M, Mohammadpour M.
europepmc +1 more source
Approximate likelihood depth, asymptotic normality, equivariance, multivariate order statistics, Primary 62G05, secondary 62G20,
Luis García-Escudero +11 more
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Robust and efficient estimation of GARCH models based on Hellinger distance. [PDF]
J Appl Stat, 2022 Zhao Q, Chen L, Wu J.
europepmc +1 more source
Can We Estimate the Density's Derivative with Suroptimal Rate?
Mathematics Subject Classficiations (1991): 62G05., Nonparametric estimation, suroptimal rate, parametric rate, Gaussian process.,
A. Lucas
core +1 more source
Empirical likelihood for spatial dynamic panel data models. [PDF]
J Korean Stat Soc, 2022 Li Y, Qin Y.
europepmc +1 more source
Testing linearity of regression models with dependent errors by kernel based methods
Asymptotic relative efficiency, moving average process, nonparametric regression, optimal weighted least squares, test of linearity, 62G05,
Stefanie Biedermann, Holger Dette
core +1 more source