Modified Maximum Likelihood Estimation of the Inverse Weibull Model
The inverse Weibull model is a simple and flexible model used for survival analysis, reliability theory, and other scientific fields. The main problem in this context is the estimation of the model parameters.
Mohamed Kayid, Mashael A. Alshehri
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The Density of the Maximum Likelihood Estimator
In this paper we derive an expression for the exact density of the maximum likelihood estimator (MLE) in the case where the MLE is uniquely defined at each point in the sample space by the vanishing of the score vector.
Hillier, G, Armstrong, M
openaire +2 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
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A simple approach to maximum intractable likelihood estimation [PDF]
Approximate Bayesian Computation (ABC) can be viewed as an analytic approximation of an intractable likelihood coupled with an elementary simulation step.
Rubio, Francisco J., Johansen, Adam M.
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Statistical analysis of maximum likelihood estimator images of human brain FDG PET studies [PDF]
The work presented evaluates the statistical characteristics of regional bias and expected error in reconstructions of real positron emission tomography (PET) data of human brain fluoro-deoxiglucose (FDG) studies carried out by the maximum likelihood ...
Coakley, Kevin J. +4 more
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Mean square convergence rates for maximum quasi-likelihood estimator
In this note we study the behavior of maximum quasilikelihood estimators (MQLEs) for a class of statistical models, in which only knowledge about the first two moments of the response variable is assumed.
Arnoud V. den Boer, Bert Zwart
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A Comparison Between the Bayesian and the Classical Estimators of Weibull Distribution
In this paper ,we study estimation of two parameters of Weibull distribution .Methods of estimation used are maximum likelihood estimator (MLE) and Bayes. We compared the numerical results by simulation in MATLAB program.
Fadhil abdulabaas Alabadee +2 more
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A consistent estimator for the binomial distribution in the presence of “incidental parameters”: an application to patent data [PDF]
In this paper a consistent estimator for the Binomial distribution in the presence of incidental parameters, or fixed effects, when the underlying probability is a logistic function is derived.
Machado, Matilde P.
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Consistency and asymptotic normality of the maximum likelihood estimator in a zero-inflated generalized Poisson regression [PDF]
Poisson regression models for count variables have been utilized in many applications. However, in many problems overdispersion and zero-inflation occur.
Min, Aleksey, Czado, Claudia
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A New Estimator to Combat Multicollinearity in Logistic Regression Model [PDF]
This paper proposes a new estimator based on the singular value decomposition technique of the design matrix to remedy multicollinearity in the binary logistic model.
Prof. Dr. Monira Ahmed Hussein +1 more
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