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Probability and random variables. A beginner's guide

โœ Scribed by Stirzaker D.


Publisher
CUP
Year
2003
Tongue
English
Leaves
382
Category
Library

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๐Ÿ“œ SIMILAR VOLUMES


Probability and Random Variables: A Begi
โœ David Stirzaker ๐Ÿ“‚ Library ๐Ÿ“… 1999 ๐Ÿ› Cambridge University Press ๐ŸŒ English

I'm using this book for a graduate course in probability for political science, and I have been very disappointed with it. The main problem is that it skips steps involved in problems and then tells you that "obviously" or "clearly" or "intuitively" the solution to the problem follows. For example

Probability and Random Variables: A Begi
โœ David Stirzaker ๐Ÿ“‚ Library ๐Ÿ“… 1999 ๐ŸŒ English

This concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, Stirzaker sets out the central and crucial rules and ideas of probability including independence and co

Probability and Random Variables: A Begi
โœ David Stirzaker ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Cambridge University Press ๐ŸŒ English

This concise introduction to probability theory is written in an informal, tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, Stirzaker sets out the central and crucial rules and ideas of probability including independence and co

Probability and Random Variables
โœ G.P. Beaumont ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Woodhead Publishing ๐ŸŒ English

This undergraduate text distils the wisdom of an experienced teacher and yields, to the mutual advantage of students and their instructors, a sound and stimulating introduction to probability theory. The accent is on its essential role in statistical theory and practice, built on the use of illustra

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โœ G P Beaumont ๐Ÿ“‚ Library ๐Ÿ“… 2005 ๐Ÿ› Harwood ๐ŸŒ English

Probability; Conditional probability and independence; Random variables; Continuous distributions; Distribution function; Functions of random variables; Bivariate distributions; Expectation of a random variable; Variance of a random variable; Moment generating functions; Moments of bivariate distri