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Springer Correlation Theory of Stationary Random Functions - Volume I

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Description

This comprehensive volume explores the mathematical foundations and practical applications of stationary random functions, a cornerstone of modern probability theory. The text addresses the theory of random functions with rigorous mathematical treatment whilst maintaining accessibility for researchers and practitioners who encounter time series data in real-world applications. Stationary random functions naturally arise when analysing observations over time that fluctuate around a constant mean without systematic trends, making this framework essential for understanding complex stochastic processes. Part of the Springer Series in Statistics, this work provides the fundamental results and theoretical grounding necessary for advanced study in probability, statistics, and applied mathematics.

Key Features

Springer Series in Statistics publication offering rigorous mathematical treatment of random function theory and its correlation properties.

Focuses on stationary random functions and their behaviour in time series analysis where observations exhibit only disordered fluctuations.

Presents basic results and foundational theory essential for researchers working with probabilistic models and stochastic processes.

Covers both theoretical mathematics and practical applications of random function analysis in modern probability research.

Volume I establishes core concepts and correlation methods for advanced study in probability and statistics.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 October 2011
Listed Since
13 July 2012

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