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OverviewEste texto l�der en el mercado ofrece una amplia introducci�n a la probabilidad y la estad�stica para estudiantes de ingenier�a en todas las especialidades. Demostrado, preciso y alabado por sus excelentes ejemplos, probabilidad y estad�stica para ingenier�a y ciencias evidencia la reputaci�n de Jay Devore como un autor destacado y l�der en la comunidad acad�mica.Devore hace hincapi� en los conceptos, modelos, metodolog�a y aplicaciones en comparaci�n con el desarrollo matem�tico riguroso y derivaciones. Ayudado por sus ejemplos vivos y realistas, los estudiantes van m�s all� de simplemente aprender acerca de las estad�sticas, aprendiendo tambi�n c�mo poner los m�todos estad�sticos en uso. Full Product DetailsAuthor: 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. Edition: 8th edition Dimensions: Width: 21.00cm , Height: 3.70cm , Length: 27.00cm Weight: 1.680kg ISBN: 9786074816198ISBN 10: 6074816190 Pages: 768 Publication Date: 22 July 2011 Audience: College/higher education , Tertiary & Higher Education Replaced By: 9786075228280 Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Language: Spanish Table of Contents1. Panorama y estad�stica descriptiva. 2. Probabilidad. 3. Variables aleatorias discretas y probabilidad. 4. Variables aleatorias continuas y distribuciones de probabilidad. 5. Conjunto de distribuciones de probabilidad y muestras aleatorias. 6. Estimaci�n puntual. 7. Intervalo estad�stico basado en una muestra individual. 8. Pruebas de hip�tesis basadas en una sola muestra. 9. Inferencias basadas en dos muestras. 10. An�lisis de varianza. 11. An�lisis de varianza multifactorial. 12. Regresi�n lineal simple y correlaci�n. 13. No lineal y regresi�n m�ltiple. 14. Pruebas de bondad de ajuste y an�lisis de datos categ�ricos. 15. Procedimientos de libre distribuci�n. 16. M�todos de control de calidadReviewsAuthor InformationJay 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. Tab Content 6Author Website:Countries AvailableAll regions |
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