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Elsevier Spectral Analysis and Time Series - Two-Volume Set

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Description

This two-volume set from Elsevier provides a comprehensive foundation in spectral analysis and time series data. Designed for students and professionals in mathematics and the physical sciences, the text focuses on explaining complex theoretical concepts through practical examples. The content bridges the gap between theory and application by integrating Hilbert Space Theory, basic probability theory, and the time domain approach. Readers will gain insights into essential mathematical tools required for modern data analysis. The volumes cover a wide range of technical subjects, including Kalman filtering, state-space filtering, and non-linear models. This set serves as a deep resource for anyone studying probability and mathematical statistics, offering a clear path from elementary notions to advanced analytical methods.

Key Features

This two-volume set includes both Volume I and Volume II of the Probability and Mathematical Statistics series.

The text uses practical examples drawn from the physical sciences to explain new theoretical concepts.

Comprehensive coverage includes spectral analysis, Hilbert Space Theory, and basic probability theory.

Advanced topics are included such as Kalman filtering, state-space filtering, and non-linear models.

The material provides detailed instruction on the practical analysis of time series data and the time domain approach.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 October 1982
Listed Since
06 February 2007

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No barcode data available

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