Results 21 to 30 of about 373,692 (326)

Bayesian Estimation Based on Progressively Type-II Censored Samples from Compound Rayleigh Distribution [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
This paper considers inference under progressive type-II censoring scheme with a compound Rayleigh failure time distribution. The maximum likelihood (ML) and the Bayes estimators for the two unknown parameters of the compound Rayleigh distribution (CRD ...
Rashad Mohamed EL-Sagheer   +1 more
doaj   +1 more source

Inference in Multiple Linear Regression Model with Generalized Secant Hyperbolic Distribution Errors

open access: yesIngeniería y Ciencia, 2021
We study multiple linear regression model under non-normally distributed random error by considering the family of generalized secant hyperbolic distributions.
Álvaro Alexander Burbano Moreno   +2 more
doaj   +1 more source

On the Properties of Estimates of Monotonic Mean Vectors for Multivariate Normal Distributions [PDF]

open access: yesJournal of Statistical Theory and Applications (JSTA), 2015
.Problems concerning estimation of parameters and determination the statistic, when it is known a priori that some of these parameters are subject to certain order restrictions, are of considerable interest.
Abouzar Bazyari
doaj   +1 more source

Minimax Estimation of the Mean Matrix of the Matrix Variate Normal Distribution under the Divergence Loss Function

open access: yesStatistica, 2018
The problem of estimating the mean matrix of a matrix-variate normal distribution with a covariance matrix is considered under two loss functions. We construct a class of empirical Bayes estimators which are better than the maximum likelihood estimator ...
Shokofeh Zinodiny   +2 more
doaj   +1 more source

Benefits of maximum likelihood estimators for fracture attribute analysis: Implications for permeability and up-scaling

open access: yes, 2017
The success of any predictive model is largely dependent on the accuracy with which its parameters are known. When characterising fracture networks in rocks, one of the main issues is accurately scaling the parameters governing the distribution of ...
R. Rizzo, D. Healy, L. D. Siena
semanticscholar   +1 more source

Maximum Likelihood Estimators for a Supercritical Branching Diffusion Process

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2012
The log-likelihood of a nonhomogeneous Branching Diffusion Process under several conditions assuring existence and uniqueness of the diffusion part and nonexplosion of the branching process.
Pablo Olivares, Janko Hernandez
doaj   +1 more source

Variable bandwidth local maximum likelihood type estimation for diffusion processes

open access: yesAdvances in Difference Equations, 2018
The method of robust approach is applied to estimate drift function and diffusion function of diffusion processes with discrete-time observations. The proposed method combines the ideas of local linear regression technique and maximum likelihood type ...
Ming T. Tang, Yun Y. Wang
doaj   +1 more source

Estimation of Inverse Weibull Distribution Under Type-I Hybrid Censoring [PDF]

open access: yes, 2020
The hybrid censoring is a mixture of Type I and Type II censoring schemes. This paper presents the statistical inferences of the Inverse Weibull distribution when the data are Type-I hybrid censored. First we consider the maximum likelihood estimators of
Azizpour, Mina, Kazemi, Mohammad
core   +2 more sources

Bootstrap-based inferential improvements to the simplex nonlinear regression model.

open access: yesPLoS ONE, 2022
In this paper we evaluate the performance of point and interval estimators based on the maximum likelihood(ML) method for the nonlinear simplex regression model.
Alisson de Oliveira Silva   +2 more
doaj   +1 more source

Bias-Corrected Maximum Likelihood Estimators of the Parameters of the Unit-Weibull Distribution

open access: yesAustrian Journal of Statistics, 2021
It is well known that the maximum likelihood estimates (MLEs) have appealing statistical properties. Under fairly mild conditions their asymptotic distribution is normal, and no other estimator has a smaller asymptotic variance.
Andre Menezes   +3 more
doaj   +1 more source

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