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stat.ME2022

A Numerical Approach to Sequential Multi-Hypothesis Testing for Bernoulli Model

Andrey Novikov

In this paper we deal with the problem of sequential testing of multiple hypotheses. The main goal is minimizing the expected sample size (ESS) under restrictions on the error prob…

stat.ME2022

Group sequential hypothesis tests with variable group sizes: optimal design and performance evaluation

Andrey Novikov

In this paper, we propose a computer-oriented method of construction of optimal group sequential hypothesis tests with variable group sizes. In particular, for independent and iden…

stat.ME2022

Design and performance evaluation in Kiefer-Weiss problems when sampling from discrete exponential families

Andrey Novikov Fahil Farkhshatov

In this paper, we deal with problems of testing hypotheses in the framework of sequential statistical analysis. The main concern is the optimal design and performance evaluation of…

stat.ME2021

A computational approach to the Kiefer-Weiss problem for sampling from a Bernoulli population

Andrey Novikov, Andrei Novikov, Fahil Farkhshatov

We present a computational approach to solution of the Kiefer-Weiss problem. Algorithms for construction of the optimal sampling plans and evaluation of their performance are propo…

stat.ME2021

Optimal Group-Sequential Tests with Groups of Random Size

Andrey Novikov, Xóchitl Itxel Popoca-Jiménez

We consider sequential hypothesis testing based on observations which are received in groups of random size. The observations are assumed to be independent both within and between…