Results 11 to 20 of about 45,407 (261)
Asymptotic Properties of Minimum S-Divergence Estimator for Discrete Models [PDF]
Sankhya A, 2014 Robust inference based on the minimization of statistical divergences has proved to be a useful alternative to the classical techniques based on maximum likelihood and related methods. Recently Ghosh et al.
Ghosh, Abhik
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Statistica, 2013 In this paper we consider “Discrete Distributions Generated by Standard Symmetric Stable Densities” (DSSD in short) arising in Bioinformatics (Astola and Danielian, 2007).
Davood Farbod, Karen V. Gasparian
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Sparse M-estimators in semi-parametric copula models [PDF]
Bernoulli, 2021 We study the large sample properties of sparse M-estimators in the presence of pseudo-observations. Our framework covers a broad class of semi-parametric copula models, for which the marginal distributions are unknown and replaced by their empirical ...
Jean-David Fermanian, B. Poignard
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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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Profile Maximum Likelihood Estimation of Single-Index Spatial Dynamic Panel Data Model
Mathematics, 2023 In this paper, the spatial dynamic panel data (SDPD) model is extended to the single-index spatial dynamic panel data (Si-SDPD) model by introducing a nonlinear connection function to reflect the interaction between explanatory variables.
Mengqi Zhang, Boping Tian
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Entropy, 2021 Tsallis introduced a non-logarithmic generalization of Shannon entropy, namely Tsallis entropy, which is non-extensive. Sati and Gupta proposed cumulative residual information based on this non-extensive entropy measure, namely cumulative residual ...
Muhammed Rasheed Irshad +3 more
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Non-Asymptotic Bounds of AIPW Estimators for Means with Missingness at Random
Mathematics, 2023 The augmented inverse probability weighting is well known for its double robustness in missing data and causal inference. If either the propensity score model or the outcome regression model is correctly specified, the estimator is guaranteed to be ...
Fei Wang, Yuhao Deng
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Estimation of the Non-Parametric Spatial Dynamic Panel Data Model with Fixed Effects
Mathematics, 2023 In this paper, the spatial dynamic panel data (SDPD) model with fixed effects is extended to a non-parametric form by relaxing the linear or nonlinear parameter structure of explanatory variables.
Mengqi Zhang, Boping Tian
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European Journal of Mathematics and Statistics, 2023 Sample surveys concern themselves with drawing inferences about the population based on sample statistics. We assess the asymptotic normality behavior of a proposed nonparametric estimator for finite a population total based on Edgeworth expansion and ...
J. O. Okungu, G. Orwa, R. Otieno
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Non-Parametric Non-Inferiority Assessment in a Three-Arm Trial with Non-Ignorable Missing Data
Mathematics, 2023 A three-arm non-inferiority trial including a placebo is usually utilized to assess the non-inferiority of an experimental treatment to a reference treatment.
Wei Li, Yunqi Zhang, Niansheng Tang
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