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"Statistical Distributions" as a book category covers works that describe, analyze, and apply probability distributions—the mathematical models that describe how random variables behave. Books in this category range from introductory texts explaining discrete and continuous distributions, moments, and parameter estimation, to advanced treatments of multivariate, mixture, Bayesian and nonparametric families, asymptotic and tail behavior, and theoretical properties (generating functions, likelihoods, convergence). It also includes practical manuals and reference handbooks with tables and code for fitting distributions, goodness-of-fit testing, simulation, and model selection, and applied volumes showing how particular distributions are used in fields like engineering, finance, biostatistics, and machine learning. Intended audiences vary from students learning foundational concepts to researchers and practitioners needing rigorous theory, computational techniques, or ready-made modeling tools.

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