Results 91 to 100 of about 2,036 (106)

Inequality restricted minimum density power divergence estimation in panel count data

Applied Mathematical Modelling
Analysis of panel count data has garnered a considerable amount of attention in the literature, leading to the development of multiple statistical techniques. In inferential analysis, most of the works focus on leveraging estimating equations-based techniques or conventional maximum likelihood estimation.
Udita Goswami, Shuvashree Mondal
openaire   +1 more source

Robust Statistical Modeling of Monthly Rainfall: The Minimum Density Power Divergence Approach

Sankhya B, 2019
Statistical modeling of monthly, seasonal, or annual rainfall data is an important research area in meteorology. These models play a crucial role in rainfed agriculture, where a proper assessment of the future availability of rainwater is necessary.
A. Hazra, A. Ghosh
semanticscholar   +1 more source

rfmm: a Stata command for the minimum density power divergence estimation of finite mixtures of regression models [PDF]

, 2013
The minimum density power divergence (MDPD) framework (Basu et al., 1998) provides a family of estimators indexed by a parameter (α), which controls the tradeoff between efficiency and robustness. In this paper, we extend this estimation framework to finite mixtures of regression models. In order to make this extension readily accessible to researchers,
Federico Belotti, Partha Deb
openaire   +1 more source

Robust genomic prediction and heritability estimation using density power divergence

Crop science
This manuscript delves into the intersection of genomics and phenotypic prediction, focusing on the statistical innovation required to navigate the complexities introduced by noisy covariates and confounders. The primary emphasis is on the development of
U. Chowdhury, R. Bhattacharjee, Susmita Das, Abhik Ghosh   +3 more
semanticscholar   +1 more source

Density Power Divergence Estimator for General Integer-Valued Time Series with Exogenous Covariates

Communications in Mathematics and Statistics, 2023
Mamadou Diop, William Kengne
semanticscholar   +1 more source

Minimum Density Power Divergence Estimator (MDPDE) for Nonlinear Mixed Elliptical Models

Mathematical Methods of Statistics
Paliguiwendé Dieudonné Ibrango, A. Diop, Mamadou Diop, D. Barro   +3 more
semanticscholar   +1 more source

Composite Likelihood Methods Based on Minimum Density Power Divergence Estimator

Entropy, 2018
Elena Castilla, Nirian Martín, Leandro Pardo   +2 more
exaly  

Robust testing based on density power divergence for comparing multiple means in the ANCOVA model

Computational statistics (Zeitschrift)
Abhijit Mandal, B. H. Beyaztaş
semanticscholar   +1 more source

K-nearest neighbors and a kernel density estimator for GEFCom2014 probabilistic wind power forecasting

International Journal of Forecasting, 2016
Yao Zhang, Jian-Xue Wang
exaly  

Nonparametric Probabilistic Unbalanced Power Flow With Adaptive Kernel Density Estimator

IEEE Transactions on Smart Grid, 2019
Hossein Nosratabadi, Mohammad Mohammadi, Amin Kargarian Marvasti   +2 more
exaly