Logo

Probability and Theory of Errors

Large book cover: Probability and Theory of Errors

Probability and Theory of Errors
by

Publisher: J. Wiley & Sons
Number of pages: 64

Description:
The theory of probability and the theory of errors now constitute a formidable body of knowledge of great mathematical interest and of great practical importance. Though developed largely through applications to the more precise sciences of astronomy, geodesy, and physics, their range of applicability extends to all of the sciences.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Mathematical Foundations of Probability TheoryMathematical Foundations of Probability Theory
by - arXiv.org
The fundamental aspects of Probability Theory are presented from a pure mathematical view based on Measure Theory. Such an approach places Probability Theory in its natural frame of Functional Analysis and offers a basis towards Statistics Theory.
(6180 views)
Book cover: Almost None of the Theory of Stochastic ProcessesAlmost None of the Theory of Stochastic Processes
by - Carnegie Mellon University
Text for a second course in stochastic processes. It is assumed that you have had a first course on stochastic processes, using elementary probability theory. You will study stochastic processes within the framework of measure-theoretic probability.
(12023 views)
Book cover: Probability, Random Processes, and Ergodic PropertiesProbability, Random Processes, and Ergodic Properties
by - Springer
A self-contained treatment of the theory of probability, random processes. It is intended to lay theoretical foundations for measure and integration theory, and to develop the long term time average behavior of measurements made on random processes.
(14225 views)
Book cover: Lectures on Measure Theory and ProbabilityLectures on Measure Theory and Probability
by - Tata institute of Fundamental Research
Measure Theory (Sets and operations on sets, Classical Lebesgue and Stieltjes measures, Lebesgue integral); Probability (Function of a random variable, Conditional probabilities, Central Limit Problem, Random Sequences and Convergence Properties).
(12455 views)