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Essentials of probability theory and mathematical statistics

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Statistics of Random Processes I

Part of the book series: Applications of Mathematics ((SMAP,volume 5))

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Abstract

According to Kolmogorov’s axiomatics the primary object of probability theory is the probability space (Ω, ℱ, P). Here (Ω, ) denotes measurable space, i.e., a set Ω consisting of elementary events ω, with a distinguished system of its subsets (events), forming a σ-algebra, and P denotes a probability measure (probability) defined on sets in .

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Notes and references

  1. Kolmogorov A. N., The Foundation of Probability Theory. ONTI, Moscow-Leningrad, 1936.

    Google Scholar 

  2. Doob J. L., Probability Processes. Russian transi., IL. Moscow, 1956.

    Google Scholar 

  3. Liptser R. S., Shiryayev A. N., On the densities of probability measures of diffusion type processes. Izv. AN SSSR, ser. matem. 33, 5 (1969), 1120–1131.

    Google Scholar 

  4. Kolmogorov A. N., Fomin S. V., Elements of the Theory of Functions and Functional Analysis. “Nauka, Moscow, 1968.

    Google Scholar 

  5. McKean G., Stochastic Integrals. Russian transi., “MIR,” Moscow, 1972.

    Google Scholar 

  6. Blackwell D., Dubins L., Merging of opinions with increasing information. AMS 33 (1962), 882–886.

    MathSciNet  MATH  Google Scholar 

  7. Fujisaki M., Kallianpur G., Kunita H., Stochastic differential equations for the nonlinear filtering problem. Russian transl.: Matematika. Sbornik perevodov inostr. statei, 17: 2 (1973), 108–128

    Google Scholar 

  8. Pugachev V. S., The Theory of Random Functions and its Application to Automatic Control Problems. Fizmatgiz, Moscow, 1962.

    Google Scholar 

  9. Cramer G., Lidbetter M., Stationary Random Processes. Russian transi., “MIR,” Moscow, 1969.

    Google Scholar 

  10. Shiryayev A. N., Studies in the statistical sequential analysis. Matem. zametki 3, 6 (1968), 739–754.

    Google Scholar 

  11. Dynkin Ye. B., Markov Processes. Fizmatgiz, Moscow, 1963.

    Google Scholar 

  12. Blumental R. M., Getoor R. K., Markov Processes and Potential Theory. Academic Press, N.Y., 1968.

    Google Scholar 

  13. Novikov A. A., On stopping times of a Wiener process. Teoria Verojatn. i Primenen. XVI, 3 (1971), 548–550.

    Google Scholar 

  14. Shiryayev A. N., On stochastic equations in the theory of conditional Markov processes. Teoria Verojatn. i Primenen. XI, 1 (1966), 200–206.

    Google Scholar 

  15. Levy P., Stochastic Processes and Brownian Motion. “Nauka, Moscow, 1972.

    Google Scholar 

  16. Ito K., McKean G., Diffusion processes and their trajectories. (Russian transi.), “MIR,” Moscow, 1968.

    Google Scholar 

  17. Gikhman 1. I., Skorokhod A. V., Introduction to Random Processes Theory. “Nauka,” Moscow, 1965.

    Google Scholar 

  18. Gikhman I. I., Skorokhod A. V., Stochastic Differential Equations. “Naukova dumka,” Kiev, 1968 (Ukranian).

    Google Scholar 

  19. Letov A. M., Analytical design of regulators. I-IV. Avtomatika i telemekhanika 6 (1960), 661–665;

    Google Scholar 

  20. Cramer G., Mathematical Statistics Methods. Russian transi., IL, Moscow, 1948.

    Google Scholar 

  21. Turin G., Lectures on Digital Communication. Russian transi., “MIR,” Moscow, 1972.

    Google Scholar 

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© 1977 Springer Science+Business Media New York

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Liptser, R.S., Shiryayev, A.N. (1977). Essentials of probability theory and mathematical statistics. In: Statistics of Random Processes I. Applications of Mathematics, vol 5. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-1665-8_2

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  • DOI: https://doi.org/10.1007/978-1-4757-1665-8_2

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4757-1667-2

  • Online ISBN: 978-1-4757-1665-8

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