Probabilidad y Estadística para Ingeniería y Ciencias

Probabilidad y Estadística para Ingeniería y Ciencias

Probabilidad y Estadística para Ingeniería y Ciencias

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Published: 22 July, 2011
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Description

Este texto líder en el mercado ofrece una amplia introducción a la probabilidad y la estadística para estudiantes de ingeniería en todas las especialidades. Demostrado, preciso y alabado por sus excelentes ejemplos, probabilidad y estadística para ingeniería y ciencias evidencia la reputación de Jay Devore como un autor destacado y líder en la comunidad académica.Devore hace hincapié en los conceptos, modelos, metodología y aplicaciones en comparación con el desarrollo matemático riguroso y derivaciones. Ayudado por sus ejemplos vivos y realistas, los estudiantes van más allá de simplemente aprender acerca de las estadísticas, aprendiendo también cómo poner los métodos estadísticos en uso.
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More Details

Type Book
ISBN13 9786074816198
ISBN10 6074816190
Number Of Pages 768
Item Weight 1000 g
Publisher / Reseller Cengage Learning Editores S.A. de C.V.
Format paperback
Edition 8th edition
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Author's Bio

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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