Statistical Theory : A Concise Introduction
Felix Abramovich, Ya'acov Ritov
Designed for a one-semester advanced undergraduate or graduate
course, Statistical Theory: A Concise Introduction clearly explains
the underlying ideas and principles of major statistical concepts,
including parameter estimation, confidence intervals, hypothesis
testing, asymptotic analysis, Bayesian inference, and elements of
decision theory. It introduces these topics on a clear intuitive level
using illustrative examples in addition to the formal definitions,
theorems, and proofs.
Catégories:
Année:
2013
Langue:
english
Pages:
241
Collection:
Texts in Statistical Science
Fichier:
PDF, 6.64 MB
IPFS:
,
english, 2013