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  3. Probability and Random Variables
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    • Publisher:
      Cambridge University Press
      Publication date:
      05 June 2012
      02 September 1999
      ISBN:
      9780511813627
      9780521644457
      DOI:
      https://doi.org/10.1017/CBO9780511813627
      Dimensions:
      Weight & Pages:
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      0.755kg, 382 Pages
      • Subjects:
      Mathematics, Abstract Analysis, Probability Theory and Stochastic Processes, Statistics and Probability
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    Subjects:
    Mathematics, Abstract Analysis, Probability Theory and Stochastic Processes, Statistics and Probability
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    Book description

    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.

    Reviews

    ‘… a fine textbook accompanying introductory lectures in probability.’

    Ch. Cenker Source: Monatshefte für 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 Source: 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 Source: Zentralblatt MATH

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