Results 11 to 20 of about 3,183 (213)

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

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

truncSP: An R Package for Estimation of Semi-Parametric Truncated Linear Regression Models

Journal of Statistical Software, 2014
Problems with truncated data occur in many areas, complicating estimation and inference. Regarding linear regression models, the ordinary least squares estimator is inconsistent and biased for these types of data and is therefore unsuitable for use ...
Maria Karlsson, Anita Lindmark
doaj   +1 more source

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
doaj   +1 more source

Asymptotic properties of parametric and nonparametric probability density estimators of sample maximum

, 2022
Asymptotic properties of three estimators of probability density function of sample maximum $f_{(m)}:=mfF^{m-1}$ are derived, where $m$ is a function of sample size $n$. One of the estimators is the parametrically fitted by the approximating generalized extreme value density function. However, the parametric fitting is misspecified in finite $m$ cases.
openaire   +2 more sources