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Parameter Estimation for Discrete Laplace Distribution with the already known maximum likelihood estimator (MLE). Note that no accuracy properties of the MLE have been

Iterative method of maximum likelihood for estimation of non-Gaussian probability density of signals and interferences parameters of private probability densities it is offered to use iterative method of maximum likelihood

Bayesian multidimensional-matrix polynomial empirical regressionThe problem of parameter estimation for the polynomial in the input variables regression function

Estimates with asymptotically uniformly minimal d-risk inference. Using this definition, we prove that the maximum likelihood estimate has asymptotically uniformly

Iterative method of maximum likelihood for estimation of non-Gaussian probability density of signals and interferences parameters of private probability densities it is offered to use iterative method of maximum likelihood

Estimation of the dead time period duration in the modulated semi-synchronous generalized flow of events using the maximum likelihood technique of events using the maximum likelihood technique

Maximum likelihood estimation of distribution parameter for random dead time duration in recurrent alternating semi-synchronous events flowsMaximum likelihood estimation of distribution parameter for random dead time duration in recurrent

On the Bayesian multidimensional-matrix polynomial empirical regressionThe problem of the parameters estima-tion for the polynomial in the input variables regression

Lexicographical likelihood estimators with universal boundaries. 1New classes of lexicographical likelihood estimators (likelihood estimators with memory

Technological innovations: Analysis of short-term spatial effects in regions by development of econometric model, maximum likelihood estimation. Results: The transition from competition to cooperation of regions in terms

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