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Estimates with asymptotically uniformly minimal d-risk the asymptotic representation of the posterior risk function, as obtained in [A. A. Zaikin, J. Math. Sci. (N

On asymptotic expansion of posterior distribution© 2016, Pleiades Publishing, Ltd.The paper suggests a new asymptotic expansion of posterior

On asymptotic expansion of posterior distribution© 2016, Pleiades Publishing, Ltd.The paper suggests a new asymptotic expansion of posterior

Confidence Bounds and Narrowest Reliable Intervals in D-Posterior Approach
© 2018, Pleiades Publishing, Ltd. Several new methods of confidence and of asymptotically

Asymptotic Expansion of Posterior Distribution of Parameter Centered by a √n -Consistent Estimate
© 2018, Springer Science+Business Media, LLC, part of Springer Nature. The paper studies asymptotic

Asymptotic of the Necessary Sample Size in the Two Hypotheses Discrimination Problem© 2020, Pleiades Publishing, Ltd. Abstract: An asymptotic representation for the minimum sufficient

Asymptotics of the minimum sufficient number of observations for d-guaranteed discrimination of two-sided hypotheses-called d-posterior approach. Here, constraints are placed on the conditional probabilities for the validity

Asymptotic Expansion of D-Risks for Hypothesis Testing in Bernoulli Scheme
© 2018, Pleiades Publishing, Ltd. Currently there is not a single asymptotic expansion of d-risk

Injury to the posterior cruciate ligament: biomechanics, diagnosis, treatment and prevention of secondary osteoarthritis to the posterior cruciate ligament (PCL). PCL is the largest intra-articular ligament in the knee joint and has

Local Asymptotic Normality of Statistical Experiments in an Inhomogeneous Competing Risks Model under Random Censoring on the RightThe local asymptotic normality property of the likelihood ratio statistic in the competing risk

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