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Probability and Statistics

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  • 834 páginas
  • 30 horas de lectura

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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. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.

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Probability and Statistics, Morris DeGroot, Mark J. Schervish

Idioma
Publicado en
2013
Encuadernación
(Tapa blanda)
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Título
Probability and Statistics
Idioma
Inglés
Editorial
Pearson
Publicado en
2013
Formato
Tapa blanda
Páginas
834
ISBN10
1292025042
ISBN13
9781292025049
Serie
Calificación
4 de 5
Descripción
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. Probability & Statistics, Fourth Edition, was written for a one- or two-semester probability and statistics course. This course is offered primarily at four-year institutions and taken mostly by sophomore and junior level students majoring in mathematics or statistics. Calculus is a prerequisite, and a familiarity with the concepts and elementary properties of vectors and matrices is a plus.