The maximum likelihood method for censoring of observations by a random interval V. V. AgeevYu. N. Blagoveshchenskii OriginalPaper Pages: 2546 - 2554
Distribution of the time of first arrival of a Wiener process at a given boundary A. M. Benderskii OriginalPaper Pages: 2554 - 2562
A parametric representation of the response incorporating prior statistical information V. I. GrachevA. B. UspenskiiV. V. Fedorov OriginalPaper Pages: 2562 - 2570
Asymptotic distribution of minimum contrast estimators V. A. Gurevich OriginalPaper Pages: 2571 - 2578
Construction of control plans using a quantitative index with two-sided bounds G. D. KartashovN. M. Chiganova OriginalPaper Pages: 2578 - 2588
Predictors for stationary processes with finite generalized Markovian property V. M. Kondakov OriginalPaper Pages: 2589 - 2594
The standard error of the unbiased estimator of the normal density Ya. P. Lumel'skiiN. V. Medvedeva OriginalPaper Pages: 2595 - 2598
Unbiased estimation for homogeneous Markov chains Ya. P. Lumel'skiiV. V. Chichagov OriginalPaper Pages: 2599 - 2603
Limiting behavior of statistics for some discrete distributions Ya. M. L'vovskii OriginalPaper Pages: 2603 - 2609
Estimation of the trend and the variance components in the linear regression model M. B. MalyutovK. J. Martines Crespo OriginalPaper Pages: 2610 - 2624
Nonuniform bounds on the convergence rate in the invariance principle A. I. Orlov OriginalPaper Pages: 2624 - 2632
The standard error and bias of normal density estimators M. Ya. Penskaya OriginalPaper Pages: 2633 - 2638
Optimal unbiased estimators for finite families of distributions P. N. Sapozhnikov OriginalPaper Pages: 2639 - 2644
Confidence limits for the reliability of systems with redundancy O. I. Teskin OriginalPaper Pages: 2644 - 2647
Multivariate hypothesis testing and its application to quality control O. I. TeskinR. S. Sudakov OriginalPaper Pages: 2648 - 2661
Optimal detection of changes in probability characteristics M. S. Tikhov OriginalPaper Pages: 2662 - 2672
Some issues in the exposition of the theory of probability: A methodological note I. G. Shaposhnikov OriginalPaper Pages: 2678 - 2681