Results 11 to 20 of about 288,039 (268)

MLEP: an R package for exploring the maximum likelihood estimates of penetrance parameters

open access: yesBMC Research Notes, 2012
Background Linkage analysis is a useful tool for detecting genetic variants that regulate a trait of interest, especially genes associated with a given disease.
Sugaya Yuki
doaj   +1 more source

An Automated Profile-Likelihood-Based Algorithm for Fast Computation of the Maximum Likelihood Estimate in a Statistical Model for Crash Data

open access: yesJournal of Applied Mathematics, 2022
Numerical computation of maximum likelihood estimates (MLE) is one of the most common problems encountered in applied statistics. Even if there exist many algorithms considered as performing, they can suffer in some cases for one or many of the following
Issa Cherif Geraldo
doaj   +1 more source

Statistical Inference for Geometric Process with the Power Lindley Distribution

open access: yesEntropy, 2018
The geometric process (GP) is a simple and direct approach to modeling of the successive inter-arrival time data set with a monotonic trend. In addition, it is a quite important alternative to the non-homogeneous Poisson process.
Cenker Bicer
doaj   +1 more source

Product of spacing estimation of entropy for inverse Weibull distribution under progressive type-II censored data with applications

open access: yesJournal of Taibah University for Science, 2022
This paper seeks to estimate the entropy for the inverse Weibull distribution using progressively Type-II censored data. To reach this objective, the entropy is defined through three entropy measures, namely, Rényi, q-entropy and Shannon entropy, and two
Hassan Okasha, Mazen Nassar
doaj   +1 more source

Bayes and Non-Bayes Estimation of Change Point in Nonstandard Mixture Inverse Weibull Distribution

open access: yesJournal of Statistical Theory and Applications (JSTA), 2019
We consider a sequence of independent random variables X1,X2,…,Xm,…,Xnn≥3 exhibiting a change in the probability distribution of the data generating mechanism.
Masoud Ganji, Roghayeh Mostafayi
doaj   +1 more source

Texture Inpainting Using Covariance in Wavelet Domain

open access: yesJournal of Intelligent Systems, 2013
In this article, the covariance of wavelet transform coefficients is used to obtain a texture inpainted image. The covariance is obtained by the maximum likelihood estimate.
Biradar Rajkumar L., Kohir Vinayadatt V.
doaj   +1 more source

Statistical analysis of four-unit hybrid system for masked data

open access: yes上海师范大学学报. 自然科学版, 2017
The likelihood function of four-unit hybrid system is deduced based on masked data.The maximum likelihood estimates of parameters are proposed for hybrid system composed of four units with constant failure rate and linear failure rate based on masked ...
Xu Xiaoling   +3 more
doaj   +1 more source

Parameter Estimation for the Two-Parameter Exponentiated Weibull Distribution Based on Multiply Type-I Censored Data

open access: yesIEEE Access, 2019
Multiple Type-I censoring represents that all the test units are terminated at different times. Hence, it is the general form of Type-I censoring, which is common in life testing experiments due to simplicity.
Qian Zhao, Xiang Jia, Bo Guo
doaj   +1 more source

Maximum likelihood estimation of Wiener models [PDF]

open access: yesProceedings of the 39th IEEE Conference on Decision and Control (Cat. No.00CH37187), 2002
A Wiener model consists of a linear dynamic system followed by a static nonlinearity. The input and output are measured, but not the intermediate signal. We discuss the maximum likelihood estimate for Gaussian measurement and process noise, and the special cases when one of the noise sources is zero.
Hagenblad, Anna, Ljung, Lennart
openaire   +2 more sources

The Effects of Data Imputation on Covariance and Inverse Covariance Matrix Estimation

open access: yesIEEE Access
Various data analysis techniques and procedures (correlation heatmap, linear discriminant analysis, quadratic discriminant analysis) rely on the estimation of the covariance matrix or its inverse (the precision matrix).
Tuan L. Vo   +5 more
doaj   +1 more source

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