Asymptotic behavior of the logarithm of the likelihood function when the spectral density has polynomial zeros M. S. Ginovyan OriginalPaper Pages: 1113 - 1125
Fisher's method of scoring in the problem of frequency estimation G. K. Golubev OriginalPaper Pages: 1125 - 1139
Rate of convergence to the normal law of sums of induced order statistics V. A. EgorovV. B. Nevzorov OriginalPaper Pages: 1139 - 1146
Rank of a necessary and sufficient statistic for a sample of independent random vectors M. S. Ermakov OriginalPaper Pages: 1146 - 1154
More on the estimation of distribution densities I. A. IbragimovR. Z. Khas'minskii OriginalPaper Pages: 1155 - 1165
Asymptotic regularity of a family of measures corresponding to a Gaussian random process which contains a white noise component for a parametric family of spectral densities Yu. I. Ingster OriginalPaper Pages: 1165 - 1181
An estimate of the nearness of the distributions in terms of the nearness of their characteristic functions on a finite interval L. B. KlebanovS. T. Mkrtchyan OriginalPaper Pages: 1181 - 1186
Characterization of distributions by the local asymptotic optimality property of tests statistics Ya. Yu. Nikitin OriginalPaper Pages: 1186 - 1195
Application of the model of two-factor analysis of variance without interactions M. S. Nikulin OriginalPaper Pages: 1196 - 1207
Probabilities of large and moderate deviations for maximum likelihood estimates M. é. Radavichyus OriginalPaper Pages: 1208 - 1219
Asymptotic analysis of statistical estimates according to censored central and intermediate terms of the variational series of samples M. S. Tikhov OriginalPaper Pages: 1219 - 1230