Introduction to Probability

Dimitri P. Bertsekas, "Introduction to Probability"
MIT | 2000 | ISBN: N/A (lecture notes) | 284 pages | File type: PDF | 2,1 mb

An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. This is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, least squares estimation, the bivariate normal distribution, and a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. The book has been widely adopted for classroom use in introductory probability courses within the USA and abroad.
Download links:

[Fast Download] Introduction to Probability

Ebooks related to "Introduction to Probability" :
Mathematical Models for Registration and Applications to Medical Imaging
Complex Analysis
Analytic Inequalities
Complex Analysis through Examples and Exercises
Approximation Theory
Proceedings of the Gökova Geometry-Topology Conference 2008
The Genesis of Feynman Diagrams (Archimedes)
The History of Mathematics: A Brief Course, 3rd Edition
Algorithm Theory - SWAT 2002
System Modelling and Simulation
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.