Results 1 to 10 of about 70 (69)

Assessing surrogate heterogeneity in real world data using meta-learners [PDF]

open access: yesJournal of Causal Inference
Surrogate markers are most commonly studied within the context of randomized clinical trials. However, the need for alternative outcomes also extends to real-world public health and social science research, where randomized trials are often impractical ...
Knowlton Rebecca, Parast Layla
doaj   +2 more sources

On Beta Exponentiated Lomax-Exponential Distribution with applications

open access: yesScientific African, 2023
This study introduces a new Beta Exponentiated Lomax-Exponential Distribution (BELED) with special reference to its quantile function to enhance closed form solution of its parameters and make its proprietorial effect on data modeling quantifiable with ...
A.T. Sóyínká
doaj   +1 more source

Counterexamples to the classical central limit theorem for triplewise independent random variables having a common arbitrary margin

open access: yesDependence Modeling, 2021
We present a general methodology to construct triplewise independent sequences of random variables having a common but arbitrary marginal distribution F (satisfying very mild conditions).
Beaulieu Guillaume Boglioni   +2 more
doaj   +1 more source

Asymptotic normality and mean consistency of LS estimators in the errors-in-variables model with dependent errors

open access: yesOpen Mathematics, 2020
In this article, an errors-in-variables regression model in which the errors are negatively superadditive dependent (NSD) random variables is studied. First, the Marcinkiewicz-type strong law of large numbers for NSD random variables is established. Then,
Zhang Yu   +3 more
doaj   +1 more source

Limiting behavior of the perturbed empirical distribution functions evaluated at U‐statistics for strongly mixing sequences of random variables

open access: yesInternational Journal of Stochastic Analysis, Volume 10, Issue 1, Page 3-20, 1997., 1996
We prove the almost sure representation, a law of the iterated logarithm and an invariance principle for the statistic for a class of strongly mixing sequences of random variables {Xi, i ≥ 1}. Stationarity is not assumed. Here is the perturbed empirical distribution function and Un is a U‐statistic based on X1, …, Xn.
Shan Sun, Ching-Yuan Chiang
wiley   +1 more source

Properties and Inference for a New Class of Generalized Rayleigh Distributions with an Application

open access: yesOpen Mathematics, 2019
In the present paper, we introduce a new form of generalized Rayleigh distribution called the Alpha Power generalized Rayleigh (APGR) distribution by following the idea of extension of the distribution families with the Alpha Power transformation.
Biçer Hayrinisa Demirci
doaj   +1 more source

Some properties and applications of the stuttering generalized waring distribution

open access: yesInternational Journal of Mathematics and Mathematical Sciences, Volume 12, Issue 3, Page 531-537, 1989., 1989
The Stuttering Generalized Waring Distribution arises in connection with sampling from an urn that contains balls of two colours (black and white) and it can be thought of as an intermingling of generalized Waring streams (Panaretos and Xekalaki [4]). Because of its application potential a study of its properties would be worthwhile.
J. Panaretos
wiley   +1 more source

Generalized coarsened confounding for causal effects: a large-sample framework

open access: yesJournal of Causal Inference
There has been widespread use of causal inference methods for the rigorous analysis of observational studies and to identify policy evaluations. In this article, we consider a class of generalized coarsened procedures for confounding.
Ghosh Debashis, Wang Lei
doaj   +1 more source

Design-based RCT estimators and central limit theorems for baseline subgroup and related analyses

open access: yesJournal of Causal Inference
There is a growing literature on design-based (DB) methods to estimate average treatment effects (ATEs) for randomized controlled trials (RCTs) for full sample analyses.
Schochet Peter Z.
doaj   +1 more source

Estimation of time-varying treatment effects using marginal structural models dependent on partial treatment history

open access: yesJournal of Causal Inference
Inverse probability (IP) weighting of marginal structural models (MSMs) can provide consistent estimators of time-varying treatment effects under correct model specifications and identifiability assumptions, even in the presence of time-varying ...
Seya Nodoka   +2 more
doaj   +1 more source

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