R. R. Bahadur's Lectures on the Theory of Estimation
by Raghu Raj Bahadur, at al.
Publisher: IMS 2002
Number of pages: 82
In this volume the author covered what should be standard topics in a course of parametric estimation: Bayes estimates, unbiased estimation, Fisher information, Cramer-Rao bounds, and the theory of maximum likelihood estimation.
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by Julius O. Smith III - W3K Publishing
An introduction to digital filters, it covers mathematical theory, useful examples, audio applications, and some software starting points and Matlab programming examples. The theory treats concepts in digital filter analysis and linear systems theory.
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The book comprises a one-semester or self-study course, filling the gap between several oversimplified introductions and more topically specialized or formal treatments. Karl's book wins notable points for its easy reading style.
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