Logo

Bayesian Spectrum Analysis and Parameter Estimation

Small book cover: Bayesian Spectrum Analysis and Parameter Estimation

Bayesian Spectrum Analysis and Parameter Estimation
by

Publisher: Springer
ISBN/ASIN: 0387968717
ISBN-13: 9780387968711
Number of pages: 220

Description:
This work is primarily a research document on the application of probability theory to the parameter estimation problem. The people who will be interested in this material are physicists, economists, and engineers who have to deal with data on a daily basis; consequently, we have included a great deal of introductory and tutorial material.

Home page url

Download or read it online for free here:
Download link
(1.3MB, PDF)

Similar books

Book cover: Introduction to Probability and Statistics Using RIntroduction to Probability and Statistics Using R
by
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.
(6113 views)
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.
(10677 views)
Book cover: Basic Data Analysis and More: A Guided Tour Using PythonBasic Data Analysis and More: A Guided Tour Using Python
by - arXiv
In these lecture notes, a selection of frequently required statistical tools will be introduced and illustrated. They allow to post-process data that stem from, e.g., large-scale numerical simulations (aka sequence of random experiments).
(10317 views)
Book cover: Introduction Probaility and StatisticsIntroduction Probaility and Statistics
by - University of Southern Maine
Topics: Data Analysis; Probability; Random Variables and Discrete Distributions; Continuous Probability Distributions; Sampling Distributions; Point and Interval Estimation; Large Sample Estimation; Large-Sample Tests of Hypothesis; etc.
(23211 views)