Results 31 to 40 of about 257,916 (299)
Mathematics, 2023 The presence of nonignorable missing response variables often leads to complex conditional distribution patterns that cannot be effectively captured through mean regression.
Jingxuan Guo +7 more
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Empirical likelihood block bootstrapping [PDF]
Journal of Econometrics, 2011 Monte Carlo evidence has made it clear that asymptotic tests based on generalized method of moments (GMM) estimation have disappointing size. The problem is exacerbated when the moment conditions are serially correlated. Several block bootstrap techniques have been proposed to correct the problem, including Hall and Horowitz (1996) and Inoue and ...
Allen, Jason +2 more
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Statistical Theory and Related Fields, 2022 Due to cost-effectiveness and high efficiency, two-phase case-control sampling has been widely used in epidemiology studies. We develop a semi-parametric empirical likelihood approach to two-phase case-control data under the logistic regression model. We
Zhen Sheng, Yukun Liu, Jing Qin
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Improving Probability-Weighted Moment Methods for the Generalized Extreme Value Distribution
Revstat Statistical Journal, 2008 In 1985 Hosking et al. estimated with the so-called Probability-Weighted Moments (PWM) method the parameters of the Generalized Extreme Value (GEV) distribution, the latter being classically fitted to maxima of sequences of independent and identically ...
Jean Diebolt +3 more
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Empirical Likelihood for Random Sets [PDF]
Journal of the American Statistical Association, 2017 In many statistical applications, the observed data take the form of sets rather than points. Examples include bracket data in survey analysis, tumor growth and rock grain images in morphology analysis, and noisy measurements on the support function of a convex set in medical imaging and robotic vision.
Karun Adusumilli, Taisuke Otsu
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Adjusted empirical likelihood analysis of restricted mean survival time for length-biased data [PDF]
Journal of Mahani Mathematical ResearchThe Restricted Mean Survival Time (RMST) serves as a valuable and extensively utilized metric in clinical trials. However, its application becomes intricate when dealing with data affected by length-biased sampling, rendering traditional inference ...
Zahra Mohammadian, Arezoo Habibi
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Influence Function-Based Empirical Likelihood And Generalized Confidence Intervals For Lorenz Curve
, 2020 This thesis aims to solve confidence interval estimation problems for Lorenz curve. First, we propose new nonparametric confidence intervals with influence function-based empirical likelihood method.
Shi, Yuyin
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Empirical Likelihood Confidence Region for Parameters in Semi-linear Errors-in-Variables Models [PDF]
, 2006 This paper proposes a constrained empirical likelihood confidence region for a parameter in the semi-linear errors-in-variables model. The confidence region is constructed by combining the score function corresponding to the squared orthogonal distance
Kong, Efang, Cui, Hengjian
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Empirical Likelihood for Contextual Bandits
CoRR, 2019 Accepted at NeurIPS ...
Nikos Karampatziakis +2 more
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Testing for Serial Correlation in Autoregressive Exogenous Models with Possible GARCH Errors
Entropy, 2022 Autoregressive exogenous, hereafter ARX, models are widely adopted in time series-related domains as they can be regarded as the combination of an autoregressive process and a predictive regression.
Hanqing Li +3 more
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