Results 1 to 10 of about 3,072 (181)
Entropy-Based Uncertainty Quantification in Linear Consecutive k-out-of-n:G Systems via Cumulative Residual Tsallis Entropy [PDF]
EntropyQuantifying uncertainty in complex systems is a central problem in reliability analysis and engineering applications. In this work, we develop an information-theoretic framework for analyzing linear consecutive k-out-of-n:G systems using the cumulative ...
Boshra Alarfaj +2 more
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A Time-Varying Coefficient Double Threshold GARCH Model with Explanatory Variables
Axioms, 2023 In this article, we consider the nonparametric inference for the time-varying coefficient double-threshold generalized autoregressive conditional heteroscedastic models.
Tongwei Zhang +3 more
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Mathematics, 2023 This paper studies the estimation and inference of a partially linear varying coefficient spatial autoregressive panel data model with fixed effects. By means of the basis function approximations and the instrumental variable methods, we propose a two ...
Sanying Feng, Tiejun Tong, Sung Nok Chiu
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Regression Analysis of Dependent Current Status Data with Left Truncation
Mathematics, 2023 Current status data are encountered in a wide range of applications, including tumorigenic experiments and demographic studies. In this case, each subject has one observation, and the only information obtained is whether the event of interest happened at
Mengyue Zhang +4 more
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Nonparametric Estimation of Multivariate Copula Using Empirical Bayes Methods
Mathematics, 2023 In the fields of finance, insurance, system reliability, etc., it is often of interest to measure the dependence among variables by modeling a multivariate distribution using a copula.
Lu Lu, Sujit Ghosh
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Modeling lifetime data with multiple causes using cause specific reversed hazard rates
Statistica, 2014 In this paper we introduce and study cause specific reversed hazard rates in the context of left censored lifetime data with multiple causes. Nonparametric inference procedure for left censored lifetime data with multiple causes using cause specific ...
Paduthol Godan Sankaran +1 more
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Intersection bounds: estimation and inference [PDF]
, 2009 We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially
Rosen, A.M. +8 more
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Fast Estimation and Valid Statistical Inference for Mixed-Effect Location-Scale Models Using Variational Inference. [PDF]
Stat MedABSTRACT With the development of modern technology, richer and more intensive longitudinal data are available for researchers to study more complex model structures. The Mixed‐Effect Location‐Scale Model (MELS) is useful for modeling the variance components in such data.
Wu BP, Hedeker D.
europepmc +2 more sources
MathematicsThis article develops a unified asymptotic theory for conditional U-statistics based on delta-sequence smoothing, thereby extending, in a substantial and conceptually coherent manner, the classical kernel-based framework for localized nonlinear ...
Salim Bouzebda
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MathematicsIn this paper, the statistical inference of the partially linear varying coefficient quantile regression model is studied under random missing responses.
Shuanghua Luo, Yuxin Yan, Cheng-yi Zhang
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