Modern Probability Theory and Its Applications
Modern Probability Theory and Its Applications
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Summary
An introduction to probability theory which has been designed for students with a working knowledge of calculus. The text demonstrates how the reader can formulate a probability problem in a mathematical manner so that it can systematically be attacked by routine methods.
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Modern Probability Theory and Its Applications by Emanuel Parzen
Mathematical probability theory is especially interesting to scientists and engineers. It introduces probability theory, showing how probability problems can be formulated mathematically to systematically attack routine methods. Topics include independence and dependence, probability laws and random variables. Over 500 exercises, an appendix of useful tables and answers to odd-numbered questions are also included.Emanuel Parzen was an American statistician. He worked and published on signal detection theory and time series analysis, where he pioneered the use of kernel density estimation. Parzen was the recipient of the 1994 Samuel S. Wilks Memorial Medal of the American Statistical Association.
| SKU | Unavailable |
| ISBN 13 | 9780471572787 |
| ISBN 10 | 0471572780 |
| Title | Modern Probability Theory and Its Applications |
| Author | Emanuel Parzen |
| Series | Wiley Classics Library |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | John Wiley & Sons Inc |
| Year published | 1992-04-02 |
| Number of pages | 480 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |