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Introduction to probability theory

✍ Scribed by Paul G. Hoel, Sidney C. Port, Charles J. Stone


Book ID
127456077
Publisher
Houghton Mifflin
Year
1971
Tongue
English
Weight
2 MB
Series
The Houghton-Mifflin series in statistics
Edition
1
Category
Library
City
Boston
ISBN
039504636X

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


Introduction to Probability Models || In
✍ Ross, Sheldon M. πŸ“‚ Article πŸ“… 2010 πŸ› Elsevier βš– 62 KB

Introduction to Probability Theory Introduction Any realistic model of a real-world phenomenon must take into account the possibility of randomness. That is, more often than not, the quantities we are interested in will not be predictable in advance but, rather, will exhibit an inherent variation th

An introduction to probability theory
✍ P. A. Moran πŸ“‚ Library πŸ“… 1984 πŸ› Clarendon Press 🌐 English βš– 3 MB

This classic text and reference introduces probability theory for both advanced undergraduate students of statistics and scientists in related fields, drawing on real applications in the physical and biological sciences.

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✍ MILLER, S πŸ“‚ Article πŸ“… 2004 πŸ› Elsevier 🌐 English βš– 373 KB

Miller and Childers have focused on creating a clear presentation of foundational concepts with specific applications to signal processing and communications, clearly the two areas of most interest to students and instructors in this course. It is aimed at graduate students as well as practicing eng

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✍ Ronald Meester πŸ“‚ Library πŸ“… 2003 πŸ› BirkhΓ€user Basel 🌐 English βš– 1013 KB

In this introduction to probability theory, we deviate from the route usually taken. We do not take the axioms of probability as our starting point, but re-discover these along the way. First, we discuss discrete probability, with only probability mass functions on countable spaces at our disposal.

Introduction to Probability Theory Volum
✍ Feller W. πŸ“‚ Library πŸ“… 1967 πŸ› Wiley 🌐 English βš– 5 MB

Major changes in this edition include the substitution of probabilistic arguments for combinatorial artifices, and the addition of new sections on branching processes, Markov chains, and the De Moivre-Laplace theorem.