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: 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.
(23833 views)
Book cover: Design of Comparative ExperimentsDesign of Comparative Experiments
by - Cambridge University Press
This book develops a coherent framework for thinking about factors that affect experiments and their relationships, including the use of Hasse diagrams. The book is ideal for advanced undergraduate and beginning graduate courses.
(20497 views)
Book cover: Convergence of Stochastic ProcessesConvergence of Stochastic Processes
by - Springer
Selected parts of empirical process theory, with applications to mathematical statistics. The book describes the combinatorial ideas needed to prove maximal inequalities for empirical processes indexed by classes of sets or classes of functions.
(13289 views)
Book cover: Probability and Statistics CookbookProbability and Statistics Cookbook
by
The cookbook contains a succinct representation of various topics in probability theory and statistics. It provides a comprehensive reference reduced to the mathematical essence, rather than aiming for elaborate explanations.
(17082 views)