Fundamentos de Probabilidad y Estadística

Author:   Jay Devore (California Polytechnic State University, San Luis Obispo)
Publisher:   Cengage Learning Editores S.A. de C.V.
ISBN:  

9786075266596


Pages:   352
Publication Date:   18 May 2018
Format:   Paperback
Availability:   Temporarily unavailable   Availability explained
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Fundamentos de Probabilidad y Estadística


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Overview

Fundamentos de probabilidad y estadística cubre de manera específica el plan de estudios del curso a nivel superior. Establece una manera singular de abordar la probabilidad y estadística, ya que introduce al estudiante con amplitud a modelos y métodos mayormente utilizados en sus estudios.

Full Product Details

Author:   Jay Devore (California Polytechnic State University, San Luis Obispo)
Publisher:   Cengage Learning Editores S.A. de C.V.
Imprint:   Cengage Learning Editores S.A. de C.V.
Dimensions:   Width: 21.00cm , Height: 27.00cm , Length: 2.00cm
Weight:   0.820kg
ISBN:  

9786075266596


ISBN 10:   6075266593
Pages:   352
Publication Date:   18 May 2018
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

Table of Contents

Capítulo 1. Generalidades y estadística descriptiva Capítulo 2. Probabilidad Capítulo 3. Variables aleatorias discretas y distribuciones de probabilidad Capítulo 4. Variables aleatorias continuas y distribuciones de probabilidad Capítulo 5. Estimación puntual Capítulo 6. Intervalos estadísticos basados en una sola muestra Capítulo 7. Pruebas de hipótesis basadas en una sola muestra Capítulo 8. Análisis de la varianza Capítulo 9. Regresión lineal simple y correlación

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Author Information

Jay Devore is Professor Emeritus of Statistics at California Polytechnic State University. He earned his undergraduate degree in Engineering Science from the University of California at Berkeley, spent a year at the University of Sheffield in England, and finished his Ph.D. in statistics at Stanford University. Jay previously taught at the University of Florida and at Oberlin College and has had visiting appointments at Stanford, Harvard, the University of Washington, New York University, and Columbia University. From 1998 to 2006, he served as Chair of the Cal Poly Statistics Department. In addition to this book, Jay has written several other widely used statistics texts for engineers and scientists and a book in applied mathematical statistics. He recently coauthored a text in probability and stochastic processes. He is the recipient of a distinguished teaching award from Cal Poly, is a Fellow of the American Statistical Association, and has served several terms as an Associate Editor of the “Journal of the American Statistical Association.” In his spare time, he enjoys reading, cooking and eating good food, tennis, and travel to faraway places. He is especially proud of his wife, Carol, a retired elementary school teacher, his daughter Allison, who has held several high-level positions in nonprofit organizations in Boston and New York City, and his daughter Teresa, a high school teacher in Brooklyn.

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