๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Probability and Random Variables

โœ Scribed by G.P. Beaumont


Publisher
Woodhead Publishing
Year
2005
Tongue
English
Leaves
347
Edition
Revised
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


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 illustrative examples and the solution of problems from typical examination papers. Mathematically-friendly for first and second year undergraduate students, the book is also a reference source for workers in a wide range of disciplines who are aware that even the simpler aspects of probability theory are not simple.

โœฆ Subjects


ะœะฐั‚ะตะผะฐั‚ะธะบะฐ;ะขะตะพั€ะธั ะฒะตั€ะพัั‚ะฝะพัั‚ะตะน ะธ ะผะฐั‚ะตะผะฐั‚ะธั‡ะตัะบะฐั ัั‚ะฐั‚ะธัั‚ะธะบะฐ;ะขะตะพั€ะธั ะฒะตั€ะพัั‚ะฝะพัั‚ะตะน;


๐Ÿ“œ SIMILAR VOLUMES


Probability and random variables
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

Probability, Random Variables, and Rando
โœ Peyton Z. Peebles Jr. ๐Ÿ“‚ Library ๐Ÿ“… 2000 ๐Ÿ› McGraw-Hill ๐ŸŒ English

This concise introduction to probability theory carries on the success of previous editions, offering readers a logical, well-organized look at the fundamental of the subject--includes applications that strengthen engineers' grasp of probability concepts. New! Coverage of discrete-time random proces

Probability, random variables, and rando
โœ Peyton Z. Peebles Jr. ๐Ÿ“‚ Library ๐Ÿ“… 1987 ๐Ÿ› McGraw-Hill ๐ŸŒ English

This concise introduction to probability theory carries on the success of previous editions, offering readers a logical, well-organized look at the fundamental of the subject - includes applications that strengthen engineers' grasp of probability concepts.

Random Variables and Probability Distrib
โœ H. Cramer ๐Ÿ“‚ Library ๐Ÿ“… 2004 ๐Ÿ› Cambridge University Press ๐ŸŒ English

This tract develops the purely mathematical side of the theory of probability, without reference to any applications. When originally published, it was one of the earliest works in the field built on the axiomatic foundations introduced by A. Kolmogoroff in his book Grundbegriffe der Wahrscheinlichk