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An Elementary Introduction To The Theory Of Probability | B. V. Gnedenko, A. Ya. Khinchin

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An Elementary Introduction To The Theory Of Probability
Original Title An Elementary Introduction To The Theory Of Probability
Author B. V. Gnedenko, A. Ya. Khinchin
Publication date

Topics mathematics, probability, soviet, events, addition of probabilities, multiplication of probabilities, bernouli’s scheme, random variables, random numbers, distribution laws, mean values, distributions, mean deviations, dispersion, law of large numbers, normal laws
Collection mir-titles, additional_collections
Language English
Book Type EBook
Material Type Book
File Type PDF
Downloadable Yes
Support Mobile, Desktop, Tablet
Scan Quality: Best No watermark
PDF Quality: Good
Availability Yes
Price 0.00
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This compact volume equips the reader with all the facts and principles essential to a fundamental understanding of the theory of probability. It is an introduction, no more: throughout the book the authors discuss the theory of probability for situations having only a finite number of possibilities, and the mathematics employed is held to the elementary level. But within its purposeiy restricted range it is extremely thorough, well organized, and absolutely authoritative. It is the only English translation of the latest revised Russian edition, and it is the only current translation on the market that has been checked and approved by Gnedenko himself.
After explaining in simple terms the meaning of the concept of probability and the means by which an event is declared to be in practice, impossible, the authors take up the processes involved in the calculation of probabilities. They survey the rules for addition and multiplication of probabilities, the concept of conditional probability, the formula for total probability, Bayes’s formula, Bernoulli’s scheme and theorem, the concepts of random variables, insuffciency of the mean value for the characterization of a random variable, methods of measuring the variance of a random variable, theorems on the standard deviation, the Chebyshev inequality, normal laws of distribution, distribution curves, properties of normal distribution curves, and related topics.
The book is unique in that, while there are several high school and college textbooks available on this subject, there is no other popular treatment for the layman that contains quite the same material presented with the same degree of clarity and authenticity. The reader who shies away from oversimplified popularizations may be sure that in this book he is getting a perfectly reliable scientific treatment. Anyone who desires a fundamental grasp of this increasingly important subject cannot do better than to start with this book.
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