Results 21 to 30 of about 376,196 (334)
Estimating the polarization degree of polarimetric images in coherent illumination using maximum likelihood methods [PDF]
This paper addresses the problem of estimating the polarization degree of polarimetric images in coherent illumination. It has been recently shown that the degree of polarization associated to polarimetric images can be estimated by the method of moments
Alouini, Mehdi +3 more
core +3 more sources
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
Maximum Likelihood Estimation of Position in GNSS [PDF]
In this letter, we obtain the Maximum Likelihood Estimator of position in the framework of Global Navigation Satellite Systems. This theoretical result is the basis of a completely different approach to the positioning problem, in contrast to the conventional two-steps position estimation, consisting of estimating the ...
Pau Closas +2 more
openaire +2 more sources
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
doaj +1 more source
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
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
This paper studies the Bayes estimator, the maximum likelihood estimator and the approximate likelihood estimator of the scale parameter for the Marshall-Olkin exponential distribution under the progressive type-II censored sample.
Mukhtar M. Salah
doaj +1 more source
Estimations of Modified Lindley Parameters Using Progressive Type-II Censoring with Applications
This study addresses the estimation problems of the modified Lindley distribution using a progressive Type-II censoring plan. Using the maximum likelihood and maximum product of spacing and Bayesian estimation methods, the unknown parameter, reliability,
Refah Alotaibi +2 more
doaj +1 more source

