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Uspensky Introduction To Mathematical Probability Pdf

International Statistical Review / Revue Internationale de Statistique

journal article

On the Bicentenary in St. Petersburg of Jacob Bernoulli's Theorem

International Statistical Review / Revue Internationale de Statistique

Published By: International Statistical Institute (ISI)

International Statistical Review / Revue Internationale de Statistique

https://www. jstor .org/stable/43298937

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Abstract

We focus on the Bicentenary (1913) celebrations, organised in St. Petersburg, Russia, by the great probabilist, A. A. Markov, founder of the theory of Markov chains. This theory was stimulated by the need to demonstrate a Law of Large Numbers for sums of dependent random variables. Markov's work on the Law of Large Numbers originating in the celebrations was exposited and extended by S. N. Bernstein and, in English, by J. V. Uspensky, who had played an integral part in the St. Petersburg celebrations.

Journal Information

The International Statistical Review (ISR) is the flagship journal of the International Statistical Institute and of its constituent sections (the Bernoulli Society for Mathematical Statistics and Probability, the International Association for Official Statistics, the International Association for Statistical Computing, the International Association for Statistical Education, the International Association of Survey Statisticians and the International Society for Business and Industrial Statistics). The ISR is widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the ISR is to publish papers of an expository, review, or tutorial nature that will be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.

Publisher Information

Established in 1885, the International Statistical Institute (ISI) is one of the oldest scientific associations operating in the modern world. Its success can be attributed to the increasing worldwide demand for professional statistical information, its leadership in the development of statistical methods and their application, and in the collective dedication of its members. Our influence can be seen in the improvements in information and analysis throughout the economic, social, biological and industrial sectors. Its industrial influence is evidenced in advanced statistical practises, resulting in improved quality assurance. The ISI is also proud of its continuing support of statistical progress in the developing world. The ISI is composed of more than 2,000 individual elected members who are internationally recognised as the definitive leaders in the field of statistics. Its membership crosses all borders, representing more than 133 countries worldwide. This reservoir of expertise is supplemented by approximately 3,000 + additional individual members of the Institute's specialised sections: The Bernoulli Society for Mathematical Statistics and Probability (BS) The International Association for Official Statistics (IAOS) The International Association for Statistical Computing (IASC) The International Association for Statistical Education (IASE) The International Association of Survey Statisticians (IASS) The International Society for Business and Industrial Statistics (ISBIS) Irving Fisher Society for Financial and Monetary Statistics (ISI transitional Section) The ISI publishes a variety of professional books, journals, newsletters and reports, representing the cutting edge in the development of contemporary statistical knowledge. The ISI is especially renowned for its biennial meetings in which the entire membership congregates to exchange innovative ideas, develop new links and discuss current trends and developments in the statistical world.

Uspensky Introduction To Mathematical Probability Pdf

Source: https://www.jstor.org/stable/43298937

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