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Estimation of the Mean Value for the Normal Distribution with Constraints on d-Risk
are constructed for two cases: fixed sample size and sequential estimation that guarantee the given constraints
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 observations, but also the sequential procedure of estimation. Both estimators guarantee the given constraints
Sequential d-guaranteed estimate of the normal mean with bounded relative error
Salimov R., Volodin I., Nasibullina N.
intensity parameter. The estimation problem with guaranteed relative error is considered. This issue is more
Sequential analysis and its applications
Pergamenshchikov, Serguei M., Pchelintsev, Evgeny A.
This course is devoted to the main problems of the sequential analysis: sequential estimation
On uniform asymptotic normality of sequential estimates of the parameters in unstable autoregression
Konev, Victor V., Nazarenko, B. N.
The paper proposes new sequential least squares estimates
Estimation of COVID-19 dynamics “on a back-of-envelope”: Does the simplest SIR model provide quantitative parameters and predictions?
Postnikov E.B.
Basing on existence of the mathematically sequential reduction of the three
Sequential fixed accuracy estimation for nonstationary autoregressive processes
Konev, Victor V., Nazarenko, Bogdan N.
For an autoregressive process of order p, the paper proposes new sequential estimates
Lower bounds for expected sample size of sequential procedures for the multinomial selection problems
Kareev I.
of sequential selection procedures are constructed for the problem of selecting the most probable event of k
On sequential estimation of the parameters of continuous-time trigonometric regression
Emelyanova, T. V., Konev, Victor V.
with the Gaussian Ornstein–Uhlenbeck noise. One-step sequential estimation procedure with a special stopping time
О распределении последовательных оценок авторегресионной модели порядка p
Шерстобитова, Анна Олеговна
This article revisits a sequential approach to the estimation of the parameter in a p-order

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