Results 181 to 190 of about 5,954 (211)

Robust estimation and bias-corrected empirical likelihood in generalized linear models with right censored data. [PDF]

J Appl Stat
Xue L, Xie J, Yang X.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Central limit theorems of range-based estimators for diffusion models

Communications in Statistics - Theory and Methods, 2019
In this article, we consider non parametric range-based estimation procedure for diffusion processes and propose a instantaneous volatility estimator.
Jingwei Cai, Quanxin Zhu, Ping Chen, Xiaoling Mei   +3 more
semanticscholar   +1 more source

Central Limit Theorems for Conditional Empirical and Conditional U-Processes of Stationary Mixing Sequences

Mathematical Methods of Statistics, 2019
Salim Bouzebda, B. Nemouchi
semanticscholar   +1 more source

On functional central limit theorems of Bayesian nonparametric priors

Stat. Methods Appl., 2017
L. A. Labadi, Ibrahim Abdelrazeq
semanticscholar   +1 more source

Cancer Statistics, 2021

Ca-A Cancer Journal for Clinicians, 2021
Rebecca L Siegel, Kimberly D Miller
exaly  

Cancer statistics, 2022

Ca-A Cancer Journal for Clinicians, 2022
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal Dvm   +2 more
exaly  

Cancer statistics, 2023

Ca-A Cancer Journal for Clinicians, 2023
Rebecca L Siegel, Kimberly D Miller, Nikita Sandeep Wagle   +2 more
exaly  

The almost sure central limit theorems for the maxima of sums under some new weak dependence assumptions

, 2013
Marcin Dudziński, P. Górka
semanticscholar   +1 more source

Cancer statistics, 2020

Ca-A Cancer Journal for Clinicians, 2020
Rebecca L Siegel, Kimberly D Miller
exaly