Logo

A Minimum of Stochastics for Scientists

Small book cover: A Minimum of Stochastics for Scientists

A Minimum of Stochastics for Scientists
by

Publisher: Caltech
Number of pages: 77

Description:
The idea behind the book was to introduce students to the ideas and attitudes that underlie the statistical modeling of physical, chemical, biological systems. These pages contain material the author have tried to convey, in a course given occasionally, to a Caltech audience composed mostly of graduate students.

Home page url

Download or read it online for free here:
Download link
(730KB, PDF)

Similar books

Book cover: Stochastic Integration and Stochastic Differential EquationsStochastic Integration and Stochastic Differential Equations
by - University of Texas
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.
(8598 views)
Book cover: Think Stats: Probability and Statistics for ProgrammersThink Stats: Probability and Statistics for Programmers
by - Green Tea Press
Think Stats is an introduction to Probability and Statistics for Python programmers. This new book emphasizes simple techniques you can use to explore real data sets and answer interesting statistical questions. Basic skills in Python are assumed.
(7640 views)
Book cover: An Introduction to Stochastic PDEsAn Introduction to Stochastic PDEs
by - arXiv
This text is an attempt to give a reasonably self-contained presentation of the basic theory of stochastic partial differential equations, taking for granted basic measure theory, functional analysis and probability theory, but nothing else.
(8102 views)
Book cover: Applied Nonparametric RegressionApplied Nonparametric Regression
by - Cambridge University Press
Nonparametric regression analysis has become central to economic theory. Hardle, by writing the first comprehensive and accessible book on the subject, contributed enormously to making nonparametric regression equally central to econometric practice.
(17443 views)