Logo

Probability, Statistics and Stochastic Processes

Small book cover: Probability, Statistics and Stochastic Processes

Probability, Statistics and Stochastic Processes
by


Number of pages: 71

Description:
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).

Download or read it online for free here:
Download link
(420KB, PDF)

Similar books

Book cover: Principles of Data AnalysisPrinciples of Data Analysis
by - Prasenjit Saha
This is a short book about the principles of data analysis. The emphasis is on why things are done rather than on exactly how to do them. If you already know something about the subject, then working through this book will deepen your understanding.
(14857 views)
Book cover: Inverse Problem Theory and Methods for Model Parameter EstimationInverse Problem Theory and Methods for Model Parameter Estimation
by - SIAM
The first part deals with discrete inverse problems with a finite number of parameters, while the second part deals with general inverse problems. The book for scientists and applied mathematicians facing the interpretation of experimental data.
(17410 views)
Book cover: Probability and Statistics for Geophysical ProcessesProbability and Statistics for Geophysical Processes
by - National Technical University of Athens
Contents: The utility of probability; Basic concepts of probability; Elementary statistical concepts; Special concepts of probability theory in geophysical applications; Typical univariate statistical analysis in geophysical processes; etc.
(7205 views)
Book cover: A defense of Columbo: A multilevel introduction to probabilistic reasoningA defense of Columbo: A multilevel introduction to probabilistic reasoning
by - arXiv
Triggered by a recent interesting article on the too frequent incorrect use of probabilistic evidence in courts, the author introduces the basic concepts of probabilistic inference with a toy model, and discusses several important issues.
(16946 views)