Mathematical Statistics: A Unified Introduction: Springer Texts in Statistics
Autor George R. Terrellen Limba Engleză Paperback – dec 2010
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 383.38 lei 6-8 săpt. | |
| Springer – dec 2010 | 383.38 lei 6-8 săpt. | |
| Hardback (1) | 392.06 lei 6-8 săpt. | |
| Springer – 4 iun 1999 | 392.06 lei 6-8 săpt. |
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Specificații
ISBN-13: 9781441931412
ISBN-10: 1441931414
Pagini: 476
Ilustrații: XVIII, 454 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.66 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: Springer
Colecția Springer
Seria Springer Texts in Statistics
Locul publicării:New York, NY, United States
ISBN-10: 1441931414
Pagini: 476
Ilustrații: XVIII, 454 p.
Dimensiuni: 155 x 235 x 25 mm
Greutate: 0.66 kg
Ediția:Softcover reprint of the original 1st ed. 1999
Editura: Springer
Colecția Springer
Seria Springer Texts in Statistics
Locul publicării:New York, NY, United States
Public țintă
Lower undergraduateCuprins
Getting Started.- Structural Models for Data.- Least Squares Methods.- Combinatorial Probability.- Other Probability Models.- Discrete Random Variables I: The Hypergeometric Process.- Discrete Random Variables II: The Bernoulli Process.- Random Vectors and Random Samples.- Maximum Likelihood Estimates for Discrete Models.- Continuous Random Variables I: The Gamma and Beta Families.- Continuous Random Variables II: Expectations and the Normal Family.- Continuous Random Vectors.- Sampling Statistics for the Linear Model.- Representing Distributions.
Recenzii
"The book is very easy and enjoyable to read ... it offers a refreshing point of view in an area which has been dominated by texts following almost exclusively by theoretical expositions."
Short Book Reviews, Vol. 20/2, August 2000
Short Book Reviews, Vol. 20/2, August 2000
Caracteristici
Wide audience, it will serve as an important reference for anyone in statistics and the applied disciplines * The book aims to be mathematically complete: every formula is derived, and every theorem proved at the appropriate level * Each new concept is introduced and exemplified by interesting statistical problems; and more abstract concepts appear only gradually * Emphasizes modeling of experimental data while avoiding abstract probability and distribution theory * Users are led to do mathematical statistics, not just to appreciate it, with the assistance of 500 interesting exercises