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Estimation of the Mean Value for the Normal Distribution with Constraints on d-Risk
of the proposed estimators with the unknown value of the prior distribution parameter, we solve the problem
Bayesian multidimensional-matrix polynomial empirical regression
Mukha, V. S., Муха, В. С.
The problem of parameter estimation for the polynomial in the input variables regression function
On strichartz estimates in an abstract form
Faminskii A.V.
Classical Strichartz type argument is applied for an abstract one- parameter set of linear
Estimation of mean value of a normal distribution with constraints on the relative error and d-risk
Salimov R., Yang S.F., Volodin A., Volodin I.
of mean value estimation for a normal distribution with prior knowledge of its randomness and extreme
Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?
Postnikov E.B.
-compartmental (Susceptible-Infected-Recovered/Removed) model to the Verhulst (logistic) equation with the parameters
Differentiability with respect to parameters in the presence of a priori estimates
Sukhinin M.F.
Differentiability with respect to parameters in the presence of a priori estimates
Estimation of the length of the process simulation
Naumov V.A., Gaidamaka Y.V., Platonova A.A.
as well as the estimates of unknown parameters obtained as a result of simulation. The results
Parameter Estimation for Discrete Laplace Distribution
Al Hayek N.
Abstract: In this paper, we consider a comparison between two estimators of the parameter p
Statistical estimation with possibly incorrect model assumptions
Tarima, Sergey S., Dmitriev, Yury G.
We combine a consistent (base) estimator of a population parameter with one or several other
The use of huber’s method for estimating libration selenographic parameters
Churkin K., Nefedyev Y.
-immune Huber’s method (HuberMestimator method-HMEM) for estimating selenographic and lunar libration parameters

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