Probability and Statistics: United States Edition. Questo articolo non è disponibile.
DeGroot, Morris H.; Schervish, Mark J.
Lingua: inglese
Editore: Addison-Wesley, Boston/New York, 2002
- Brossura
- Usato
Da: Friendly Books, Lakewood, OH, U.S.A.Friendly Books
Venditore AbeBooks dal 27 marzo 2009
Condizione: Usato - Buono
EUR 12,91
Descrizione dell’articolo da parte del venditore
Softcover without dust jacket. Multicolored covers with some wear to edges, head and tail of spine with creasing to corners. Pages clean and unmarked with many illustrations. This book contains more than enough material for a one-year course in probability and statistics. The mathematical requirements for the course are a knowledge of the elements of calculus and a familiarity with the concepts and elementary properties of vectors and matrices. No previous knowledge of probability or statistics is assumed.
Codice articolo 14565
- Titolo
- Probability and Statistics: United States Edition
- Autore
- DeGroot, Morris H.; Schervish, Mark J.
- Editore
- Addison-Wesley, Boston/New York
- Anno di pubblicazione
- 2002
- Condizione
- Buono
- Sovraccoperta
- senza sovraccoperta
- Rilegatura
- Brossura
- Lingua
- inglese
- ISBN 10
- 0201524880
- ISBN 13
- 9780201524888
- Edizione
- terza edizione
- Peso dell'articolo
- 1542 grammi
- Dimensioni
- 4,23 centimetri di larghezza per 19,81 centimetri di altezza per 22,25 centimetri di profondità
The revision of this well-respected text presents a balanced approach of the classical and Bayesian methods and now includes a new chapter on simulation (including Markov chain Monte Carlo and the Bootstrap), expanded coverage of residual analysis in linear models, and more examples using real data. Probability & Statistics was written for a one or two semester probability and statistics course 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.
Introduction to Probability; Conditional Probability; Random Variables and Distribution; Expectation; Special Distributions; Estimation; Sampling Distributions of Estimators; Testing Hypotheses; Categorical Data and Nonparametric Methods; Linear Statistical Models; Simulation
For all readers interested in probability and statistics.
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