Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics)

Essentials of Statistical Inference (Cambridge Series in Statistical and Probabilistic Mathematics)

G. A. Young


This textbook provides the options and effects underlying the Bayesian, frequentist, and Fisherian ways to statistical inference, with specific emphasis at the contrasts among them. geared toward complex undergraduates and graduate scholars in arithmetic and similar disciplines, it covers uncomplicated mathematical idea in addition to extra complicated fabric, together with such modern issues as Bayesian computation, higher-order probability thought, predictive inference, bootstrap tools, and conditional inference.

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