Description
This specialized mathematical text by Marvin K. Simon offers an in-depth exploration of probability distributions that involve Gaussian random variables. The book serves as an essential reference for engineers, statisticians, and researchers who need rigorous treatment of Gaussian-based distributions and their properties.
The work covers fundamental theory, derivations, and practical applications of various probability distributions derived from or related to Gaussian random variables. Topics include transformations of Gaussian variables, noncentral distributions, and their statistical characteristics. Each distribution is presented with mathematical rigor, including probability density functions, cumulative distributions, and moments.
Ideal for graduate students and professionals in telecommunications, signal processing, and statistical analysis, this reference provides the theoretical foundation necessary for advanced work in fields that heavily rely on Gaussian statistics and random variable analysis.
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