Zobrazeno 1 - 10
of 148
pro vyhledávání: '"Albert, Vexler"'
Publikováno v:
Journal of Statistical Software, Vol 54, Iss 1, Pp 1-19 (2013)
We introduce and examine dbEmpLikeGOF, an R package for performing goodness-of-fit tests based on sample entropy. This package also performs the two sample distribution comparison test. For a given vector of data observations, the provided function d
Externí odkaz:
https://doaj.org/article/8f532af643d547b99bfa2fcd4fcf6bce
Publikováno v:
Health Serv Res
Objective To examine a robust relative risk (RR) estimation for survey data analysis with ideal inferential properties under various model assumptions. Data sources We employed secondary data from the Household Component of the 2000-2016 U.S. Medical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::45e25e427666eaf1b9473a1063a2ec7b
https://europepmc.org/articles/PMC8763297/
https://europepmc.org/articles/PMC8763297/
Autor:
Albert Vexler, Li Zou
Publikováno v:
Journal of Multivariate Analysis. 190:104964
Modern Inference Based on Health Related Markers: Biomarkers and Statistical Decision Making provides a compendium of biomarkers based methodologies for respective health related fields and health related marker-specific biostatistical techniques. Th
Autor:
Albert Vexler
A storm of favorable or critical publications regarding p-values-based procedures has been observed in both the theoretical and applied literature. We focus on valid definitions of p-values in the scenarios when composite null models are in effect. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::516481f6d20efbcc4982fdd4f2d07e51
http://arxiv.org/abs/2001.05126
http://arxiv.org/abs/2001.05126
Publikováno v:
Statistics in Medicine. 38:1475-1483
Publicly available national survey data are useful for the evidence-based research to advance our understanding of important questions in the health and biomedical sciences. Appropriate variance estimation is a crucial step to evaluate the strength o
Autor:
Albert Vexler, Gregory Gurevich
Publikováno v:
Journal of Statistical Computation and Simulation. 88:2540-2560
Sample entropy based tests, methods of sieves and Grenander estimation type procedures are known to be very efficient tools for assessing normality of underlying data distributions, in one-dimensional nonparametric settings. Recently, it has been sho
Publikováno v:
Journal of the Korean Statistical Society. 46:518-538
Bayes factors, practical tools of applied statistics, have been dealt with extensively in the literature in the context of hypothesis testing. The Bayes factor based on parametric likelihoods can be considered both as a pure Bayesian approach as well
Publikováno v:
Journal of Statistical Planning and Inference. 182:50-60
The scientific literature has addressed widely the theoretical and applied framework based on probability weighted moments (PWMs). PWMs generalize the concept of conventional moments of a probability function. These methods are commonly applied for m
Publikováno v:
Communications in Statistics - Simulation and Computation. 46:2829-2841
Two-sample comparisons belonging to basic class of statistical inference are extensively applied in practice. There is a rich statistical literature regarding different parametric methods to address these problems. In this context, most of the powerf