Results 11 to 20 of about 43,511 (141)

Kernel Estimation of Cumulative Residual Tsallis Entropy and Its Dynamic Version under ρ-Mixing Dependent Data

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, Radhakumari Maya, Francesco Buono, Maria Longobardi   +3 more
doaj   +1 more source

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
doaj   +1 more source

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
doaj   +1 more source

Efficient semiparametric estimation of a partially linear quantile regression model [PDF]

, 2003
This paper is concerned with estimating a conditional quantile function that is assumed to be partially linear. The paper develops a simple estimator of the parametric component of the conditional quantile.
Lee, S
core   +1 more source

On the Generalized Odd Transmuted Two-Sided Class of Distributions

Statistica, 2021
In this paper, a general class of two-sided lifetime distributions is introduced via odd ratio function, the well-known concept in survival analysis and reliability engineering.
Omid Kharazmi, Mansour Zargar, Masoud Ajami   +2 more
doaj   +1 more source

Modified Local Linear Estimators in Partially Linear Additive Models with Right-Censored Data Based on Different Censorship Solution Techniques

Entropy, 2023
This paper introduces a modified local linear estimator (LLR) for partially linear additive models (PLAM) when the response variable is subject to random right-censoring.
Ersin Yılmaz, Dursun Aydın, S. Ejaz Ahmed   +2 more
doaj   +1 more source

On the confidence intervals of parametric functions for Distributions Generated by Symmetric Stable Laws

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
doaj   +1 more source

A difference-based approach in the partially linear model with dependent errors

Journal of Inequalities and Applications, 2018
We study asymptotic properties of estimators of parameter and non-parameter in a partially linear model in which errors are dependent. Using a difference-based and ordinary least square (DOLS) method, the estimator of an unknown parametric component is ...
Zhen Zeng, Xiangdong Liu
doaj   +1 more source

Model Uncertainty and Selection of Risk Models for Left-Truncated and Right-Censored Loss Data

Risks, 2023
Insurance loss data are usually in the form of left-truncation and right-censoring due to deductibles and policy limits, respectively. This paper investigates the model uncertainty and selection procedure when various parametric models are constructed to
Qian Zhao, Sahadeb Upretee, Daoping Yu
doaj   +1 more source

Asymptotic Properties of Minimum S-Divergence Estimator for Discrete Models [PDF]

, 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
core   +1 more source