Probability and statistics
DeGroot M., Schervish M.
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), coverage of residual analysis in linear models, and many examples using real data. Calculus is assumed as a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.
Categorias:
Ano:
2011
Edição:
4
Editora:
AW
Idioma:
english
Páginas:
910
ISBN 10:
0321500466
ISBN 13:
9780321500465
Arquivo:
PDF, 9.96 MB
IPFS:
,
english, 2011
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