๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Probability Theory: A Concise Course

โœ Scribed by Y.A. Rozanov


Year
1977
Tongue
English
Leaves
156
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.


๐Ÿ“œ SIMILAR VOLUMES


Probability Theory: A Concise Course
โœ Y.A. Rozanov ๐Ÿ“‚ Library ๐Ÿ“… 1977 ๐Ÿ› Dover Publications ๐ŸŒ English

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. I

Probability Theory: A Concise Course
โœ Y.A. Rozanov ๐Ÿ“‚ Library ๐Ÿ“… 1977 ๐Ÿ› Dover Publications ๐ŸŒ English

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. I

Probability Theory: A Concise Course
โœ Y.A. Rozanov ๐Ÿ“‚ Library ๐Ÿ“… 1977 ๐Ÿ› Dover Publications ๐ŸŒ English

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. I

Probability theory. A concise course
โœ Rozanov Y.A. ๐Ÿ“‚ Library ๐Ÿ“… 1977 ๐Ÿ› Dover ๐ŸŒ English

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. I

Probability Theory: A Concise Course
โœ Y.A. Rozanov ๐Ÿ“‚ Library ๐Ÿ“… 1978 ๐Ÿ› Dover ๐ŸŒ English

This clear exposition begins with basic concepts and moves on to combination of events, dependent events and random variables, Bernoulli trials and the De Moivre-Laplace theorem, a detailed treatment of Markov chains, continuous Markov processes, and more. Includes 150 problems, many with answers. I