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Information inequalities for characteristics of group-sequential test with groups of observations of random size against a composite one-sided alternative, which defines the following sequential statistical procedure

Lower bounds for expected sample size of sequential procedures for the multinomial selection problems of sequential selection procedures are constructed for the problem of selecting the most probable event of k

Lower bounds for expected sample size of sequential procedures for the multinomial selection problems of sequential selection procedures are constructed for the problem of selecting the most probable event of k

Information inequalities for characteristics of group-sequential test with groups of observations of random size against a composite one-sided alternative, which defines the following sequential statistical procedure

Performance Analysis for Sequential Statistical Discrimination of Gaussian Random Fields manufacturing procedures and predicting disease spread. This paper proposes a sequential procedure for testing

Sequentual First-Crossing Look-Ahead Procedure for Selecting a Population with the Largest Meanin Normal-Normal Model with the largest mean value is considered. We introduce a sequential selection procedure, which we call first

Lower bound for the average sample size and the efficiency of ranking sequential procedures for the sequential selection procedures have been obtained in [I. A. Kareev, Theory Probab. Appl., 57 (2013), pp. 227

Sequential d-guaranteed estimate of the normal mean with bounded relative error, the procedure must have a given level of d-risk. We suggest a sequential procedure based on the first

Sequential analysis and its applications, we study the non-asymptotic properties for the sequential estimation procedures. Then in the second

Lower bounds for the expected sample size of sequential procedures for selecting and ranking of binomial and Poisson populations sample size of sequential selection and ranking procedures for the aforementioned problems in the setting

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