Foundations of the Theory of Probability
(eBook)

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Published
Dover Publications, 2018.
Status
Available Online

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Format
eBook
Language
English
ISBN
9780486829791

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Citations

APA Citation, 7th Edition (style guide)

A. N. Kolmogorov., & A. N. Kolmogorov|AUTHOR. (2018). Foundations of the Theory of Probability . Dover Publications.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

A. N. Kolmogorov and A. N. Kolmogorov|AUTHOR. 2018. Foundations of the Theory of Probability. Dover Publications.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

A. N. Kolmogorov and A. N. Kolmogorov|AUTHOR. Foundations of the Theory of Probability Dover Publications, 2018.

MLA Citation, 9th Edition (style guide)

A. N. Kolmogorov, and A. N. Kolmogorov|AUTHOR. Foundations of the Theory of Probability Dover Publications, 2018.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID10e49d92-eea5-2df9-65f8-5f7995c47aee-eng
Full titlefoundations of the theory of probability
Authorkolmogorov a n
Grouping Categorybook
Last Update2022-10-18 21:40:45PM
Last Indexed2024-04-19 23:42:37PM

Book Cover Information

Image Sourcehoopla
First LoadedApr 4, 2023
Last UsedNov 19, 2023

Hoopla Extract Information

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    [synopsis] => This famous little book was first published in German in 1933 and in Russian a few years later, setting forth the axiomatic foundations of modern probability theory and cementing the author's reputation as a leading authority in the field. The distinguished Russian mathematician A. N. Kolmogorov wrote this foundational text, and it remains important both to students beginning a serious study of the topic and to historians of modern mathematics. Suitable as a text for advanced undergraduates and graduate students in mathematics, the treatment begins with an introduction to the elementary theory of probability and infinite probability fields. Subsequent chapters explore random variables, mathematical expectations, and conditional probabilities and mathematical expectations. The book concludes with a chapter on the law of large numbers, an Appendix on zero-or-one in the theory of probability, and detailed bibliographies.
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