Paperback. This is a simple and concise introduction to probability theory. Self-contained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject. This is an introduction to probability theory. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de ref. del art�culo 9780521644457

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Detalles bibliogr�ficos

T�tulo: Probability and Random Variables (Paperback)

Editorial: Cambridge University Press, Cambridge

A�o de publicaci�n: 1999

Encuadernaci�n: Paperback

Condici�n: new

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Sinopsis:

A simple, concise and accessible introduction to probability theory. Examples and exercises explore real life problems in areas including science, medicine, and gaming. Assuming minimal prior technical knowledge, it is suitable for students taking introductory courses, those needing a working knowledge of probability and other interested readers.

Cr�ticas:

'... a fine textbook accompanying introductory lectures in probability.' Ch. Cenker, Monatshefte f�r Mathematik

'I would not hesitate to recommend it for independent study to a colleague in mathematics or one of the natural or social sciences (assuming a working knowledge of calculus). I think the text would also work well in an independent study course with a bright, highly motivated, well-prepared undergraduate student.' Roger Nelson, Journal of the American Statistical Association

'This book is an ideal text for an introductory university course in probability ... This is a very-well written book. the content and the informal tutorial style are such that the book can be strongly recommended.' Jordan M. Stoyanov, Zentralblatt MATH

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