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Publications in Math-Net.Ru
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Einstein's 1914 Work on Theory of Randomly Fluctuating Observation Series
Probl. Peredachi Inf., 21:4 (1985), 101–107
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Turbulence in the region of applicability of the “half-power law” for a decelerating boundary layer
Dokl. Akad. Nauk SSSR, 242:6 (1978), 1273–1276
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Application of the similarity considerations to the calculation of deceleration turbulent boundary layers
Dokl. Akad. Nauk SSSR, 233:1 (1977), 52–55
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Applications of a modified “scoring method” of Fisher to the estimation of spectral parameters of random processes
Dokl. Akad. Nauk SSSR, 217:3 (1974), 512–515
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A universal law of turbulent heat- and mass-transfer from the wall for high Reynolds and Peclet numbers
Dokl. Akad. Nauk SSSR, 190:1 (1970), 65–68
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Fluctuations in energy dissipation as influencing the shape of turbulence characteristics in an inertial interval
Dokl. Akad. Nauk SSSR, 166:1 (1966), 49–52
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On the laws of small-scale turbulent flow of liquids and gases
Uspekhi Mat. Nauk, 18:5(113) (1963), 93–114
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Positive-definite functions and homogeneous random fields on groups and homogeneous spaces
Dokl. Akad. Nauk SSSR, 135:6 (1960), 1342–1345
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У. Е. Хик–Р. Хайман и др. Применение идей теории информации к определению времени психологических реакций
Mat. Pros., Ser. 2, 5 (1960), 246–252
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Effective Solutions of Linear Approximation Problems for Multivariate Stationary Processes with a Rational Spectrum
Teor. Veroyatnost. i Primenen., 5:3 (1960), 265–292
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Computation of the amount of information about a stochastic function contained in another such function
Uspekhi Mat. Nauk, 12:1(73) (1957), 3–52
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Certain types of random fields in $n$-dimensional space similar to stationary stochastic processes
Teor. Veroyatnost. i Primenen., 2:3 (1957), 292–338
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Integration in function spaces and its application to quantum physics
Uspekhi Mat. Nauk, 11:1(67) (1956), 77–114
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Application of Function-Space Integrals to the Evaluation of the Statistical Sum of Quantum Statistics
Teor. Veroyatnost. i Primenen., 1:1 (1956), 161–167
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Extrapolation, interpolation and filtering of stationary random processes with rational spectral density
Tr. Mosk. Mat. Obs., 4 (1955), 333–374
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Correlation theory of processes with random stationary $n$th increments
Mat. Sb. (N.S.), 37(79):1 (1955), 141–196
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Introduction to the theory of stationary random functions
Uspekhi Mat. Nauk, 7:5(51) (1952), 3–168
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On problems about the linear interpolation of stationary random sequences and processes
Uspekhi Mat. Nauk, 4:4(32) (1949), 173–178
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On the statistical reversibility of Brownian motion
Mat. Sb. (N.S.), 24(66):3 (1949), 457–492
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Review of Scientific Achievements of M. S. Pinsker
Probl. Peredachi Inf., 32:1 (1996), 5–19
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Book review: Gardner W. A.“Introduction to random processes. With applications to signals and systems”, Gardner W. A. “Statistical spectral analysis. A nonprobabilistic theory”
Teor. Veroyatnost. i Primenen., 35:2 (1990), 400–403
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Isaak Moiseevich Yaglom (obituary)
Uspekhi Mat. Nauk, 44:1(265) (1989), 179–180
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Valerian Il'ich Tatarskii (on his sixtieth birthday)
UFN, 159:2 (1989), 389–390
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A new book on the mechanics of turbulence
UFN, 155:3 (1988), 547–549
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Book review: «Time Series in the Time Domain» Ed. by E. J. Hannan, R. P. Krishnaiah, M. M. Rao
Teor. Veroyatnost. i Primenen., 32:4 (1987), 827–829
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Book review: «Statistische Analyse von Zeitreihen» J. Anděl
Teor. Veroyatnost. i Primenen., 32:4 (1987), 825–827
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Turbulent shear flows
UFN, 149:4 (1986), 742–744
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Physical and computational aspects of convective heat transfer
UFN, 146:1 (1985), 180–181
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М. В. Priestley «Spectral analysis of time series. Vol. 1. Univariate series. Vol. 2. Multivariate series, prediction and control» (book review)
Teor. Veroyatnost. i Primenen., 28:1 (1983), 200–204
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David R. Brillinger «Time series: Data analysis and theory», Peter Bloomfield «Fourier analysis of time series: An introduction» (book review)
Teor. Veroyatnost. i Primenen., 22:2 (1977), 436–441
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New books abroad. Ser. A (review)
Uspekhi Mat. Nauk, 28:2(170) (1973), 268–269
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Статистические модели и турбулентность
UFN, 108:2 (1972), 391–394
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Экспериментальный учебник теории вероятностей и математической статистики для американских средних школ
Mat. Pros., Ser. 2, 6 (1961), 355–361
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An elementary derivation of the formulas of Wallis, Leibnitz and Euler for the number $\pi$
Uspekhi Mat. Nauk, 8:5(57) (1953), 181–187
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