Results 21 to 30 of about 373,692 (326)
Bayesian Estimation Based on Progressively Type-II Censored Samples from Compound Rayleigh Distribution [PDF]
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
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Inference in Multiple Linear Regression Model with Generalized Secant Hyperbolic Distribution Errors
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]
.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
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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
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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
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
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Variable bandwidth local maximum likelihood type estimation for diffusion processes
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]
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.
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
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

