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 offers the techniques and effects underlying the Bayesian, frequentist, and Fisherian methods to statistical inference, with specific emphasis at the contrasts among them. aimed toward complex undergraduates and graduate scholars in arithmetic and comparable disciplines, it covers simple mathematical conception in addition to extra complicated fabric, together with such modern issues as Bayesian computation, higher-order chance conception, predictive inference, bootstrap equipment, and conditional inference.

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