152,89 €
Probability: A Graduate Course
Probability: A Graduate Course
  • Išparduota
Probability: A Graduate Course
Probability: A Graduate Course
El. knyga:
152,89 €
This textbook on the theory of probability starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the…
  • Leidėjas:
  • Metai: 2006
  • ISBN: 9780387273327
  • ISBN-10: 0387273328
  • ISBN-13: 9780387273327
  • Formatas: PDF
  • Kalba: Anglų

Probability: A Graduate Course (el. knyga) (skaityta knyga) | knygos.lt

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This textbook on the theory of probability starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales.

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  • Autorius: Allan Gut
  • Leidėjas:
  • Metai: 2006
  • ISBN: 9780387273327
  • ISBN-10: 0387273328
  • ISBN-13: 9780387273327
  • Formatas: PDF
  • Kalba: Anglų

This textbook on the theory of probability starts from the premise that rather than being a purely mathematical discipline, probability theory is an intimate companion of statistics. The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by explanations of the three main subjects in probability: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales.

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