Results 21 to 30 of about 45,407 (261)
On the Generalized Odd Transmuted Two-Sided Class of Distributions
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 +2 more
doaj +1 more source
Efficient semiparametric estimation of a partially linear quantile regression model [PDF]
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
Parametric Estimation of Tempered Stable Laws [PDF]
Tempered stable distributions are frequently used in financial applications (e.g., for option pricing) in which the tails of stable distributions would be too heavy.
Till Massing
semanticscholar +1 more source
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 +2 more
doaj +1 more source
A difference-based approach in the partially linear model with dependent errors
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
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
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
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
Multiple Outlier Detection Tests for Parametric Models
We propose a simple multiple outlier identification method for parametric location-scale and shape-scale models when the number of possible outliers is not specified.
Vilijandas Bagdonavičius +1 more
doaj +1 more source
Nonparametric Estimation of Cumulative Incidence Functions of Recurrent Events
The present paper discusses modeling and analysis of recurrent event data with competing risks. We propose non parametric estimation of cumulative incidence functions of recurrent event competing risks model.
Sisuma Mandakathingal Sivadasan +1 more
doaj +1 more source

