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type
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Author
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dc:subject
| - Probabilities
- Mathematics
- Statistics
- Distribution (Probability theory)
- Mathematical statistics
- Probability Theory and Stochastic Processes
- Statistical Theory and Methods
- Probabilités
- Distribution (théorie des probabilités)
- Statistics, general
- Nombres, Théorie probabiliste des
- Probabilistic number theory
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preferred label
| - Probability, a graduate course
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Language
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Subject
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dc:title
| - Probability, a graduate course
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note
| - Like its predecessor, this book 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 a thorough treatment of the three main subjects in probability theory: 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. The new edition is comprehensively updated, including some new material as well as around a dozen new references
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dc:type
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http://iflastandar...bd/elements/P1001
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rdaw:P10219
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has content type
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is primary topic
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is rdam:P30135
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