Probability, Statistics and Stochastic Processes
by Cosma Rohilla Shalizi
Number of pages: 71
Contents: Probability (Probability Calculus, Random Variables, Discrete and Continuous Distributions); Statistics (The Care and Handling of Data, Sampling, Estimation, Hypothesis Testing); Stochastic Processes (Sequences of Random Variables, Markov Processes, Continuous-Time Stochastic Processes).
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by T. Devlin, J. Guo, D. Kunin, D. Xiang - Brown University
The intent of the website and these notes is to provide an intuitive supplement to an introductory level probability and statistics course. The level is also aimed at students who are returning to the subject and would like a concise refresher ...
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This e-book is organized as a website that provides access to a series of lectures on fundamentals of probability, statistics and econometrics, as well as to a number of exercises on the same topics. The level is intermediate.
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Written for graduate students of mathematics, physics, electrical engineering, and finance. The students are expected to know the basics of point set topology up to Tychonoff's theorem, general integration theory, and some functional analysis.
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A textbook for an undergraduate course in probability and statistics. The prerequisites are two or three semesters of calculus and some linear algebra. Students attending the class include mathematics, engineering, and computer science majors.