A comparative study on the performance of maximum likelihood, generalized least square, scale-free least square, partial least square and consistent partial least square estimators in structural equation modeling [PDF]
International Journal of Data and Network Science, 2022 Structural equation modeling offers various estimation methods for estimating parameters. The most used method in covariance-based structural equation modeling (CB-SEM) is the maximum likelihood (ML) estimator.
Raudhah Zulkifli +3 more
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Empirical Likelihood Inference for the Cox Model with Time‐dependent Coefficients via Local Partial Likelihood [PDF]
Scandinavian Journal of Statistics, 2009 Abstract. The Cox model with time‐dependent coefficients has been studied by a number of authors recently. In this paper, we develop empirical likelihood (EL) pointwise confidence regions for the time‐dependent regression coefficients via local partial likelihood smoothing.
Yanqing Sun, R. Sundaram, Yichuan Zhao
semanticscholar +3 more sources
Hazard models with varying coefficients for multivariate failure time data [PDF]
, 2007 Statistical estimation and inference for marginal hazard models with varying coefficients for multivariate failure time data are important subjects in survival analysis.
Cai, Jianwen +3 more
core +3 more sources
A generalized Liu-type estimator for logistic partial linear regression model with multicollinearity
AIMS Mathematics, 2023 This paper is concerned with proposing a generalized Liu-type estimator (GLTE) to address the multicollinearity problem of explanatory variable of the linear part in the logistic partially linear regression model.
Dayang Dai , Dabuxilatu Wang
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Stress-strength reliability under partially accelerated life testing using Weibull model
Scientific African, 2023 The reliability of a system is the probability that its strength exceeds its stress. This reliability is called as the stress-strength reliability. The inferences of the stress-strength reliability R=P(X>Y), when: (1) the strength (X) and stress (Y) are ...
Ammar M. Sarhan, Ahlam H. Tolba
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A SAS Package for Logistic Two-Phase Studies
Journal of Statistical Software, 2014 Two-phase designs, in which for a large study a dichotomous outcome and partial or proxy information on risk factors is available, whereas precise or complete measurements on covariates have been obtained only in a stratified sub-sample, extend the ...
Walter Schill +2 more
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Particle Swarm Optimization for Penalize cox models in long-term prediction of breast cancer data
Iraqi Journal for Computer Science and Mathematics, 2023 The particle swarm optimization algorithm (PSO) was applied to penalize the Cox model for predicting long-term outcomes of breast cancer patients.
Ehab Abbas, Basad Al-Sarray
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Partial quasi-likelihood analysis [PDF]
Japanese Journal of Statistics and Data Science, 2018 The quasi likelihood analysis is generalized to the partial quasi likelihood analysis. Limit theorems for the quasi likelihood estimators, especially the quasi Bayesian estimator, are derived in the situation where existence of a slow mixing component prohibits the Rosenthal type inequality from applying to the derivation of the polynomial type large ...
openaire +3 more sources
Empirical Likelihood for Partial Parameters in ARMA Models with Infinite Variance
Journal of Applied Mathematics, 2014 This paper proposes a profile empirical likelihood for the partial parameters in ARMA(p,q) models with infinite variance. We introduce a smoothed empirical log-likelihood ratio statistic. Also, the paper proves a nonparametric version of Wilks’s theorem.
Jinyu Li, Wei Liang, Shuyuan He
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Pseudo-Likelihood Estimation for Parameters of Stochastic Time-Fractional Diffusion Equations
Fractal and Fractional, 2021 Although stochastic fractional partial differential equations have received increasing attention in the last decade, the parameter estimation of these equations has been seldom reported in literature.
Guofei Pang, Wanrong Cao
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