James J. Cochran is Professor of Applied Statistics, the Mike and Kathy Mouron Research Chair and Associate Dean for Faculty and Research at the University of Alabama. Born in Dayton, Ohio, he earned his B.S., M.S. and M.B.A. degrees from Wright State University and his Ph.D. from the University of Cincinnati. Dr. Cochran has served at The University of Alabama since 2014 and has been a visiting scholar at Stanford University, Universidad de Talca, the University of South Africa, Pole Universitaire Leonard de Vinci and University College of London. Dr. Cochran has published more than 50 papers in the development and application of operations research and statistical methods. He has published his research in Management Science, The American Statistician, Communications in Statistics-Theory and Methods, Annals of Operations Research, European Journal of Operational Research, Journal of Combinatorial Optimization, INFORMS Journal on Applied Analytics and Statistics and Probability Letters. He was the 2008 recipient of the INFORMS Prize for the Teaching of Operations Research Practice and the 2010 recipient of the Mu Sigma Rho Statistical Education Award. Dr. Cochran was elected to the International Statistics Institute in 2005 and named a fellow of the American Statistical Association in 2011. He received the Founders Award in 2014 and the Karl E. Peace Award in 2015 from the American Statistical Association. In 2017, he received the American Statistical Associations Waller Distinguished Teaching Career Award and was named a fellow of INFORMS. In 2018, he received the INFORMS Presidents Award. A strong advocate for effective statistics and operations research education as a means of improving the quality of applications to real problems, Dr. Cochran has organized and chaired teaching workshops throughout the world. David R. Anderson is a leading author and professor emeritus of quantitative analysis in the College of Business Administration at the University of Cincinnati. Dr. Anderson has served as head of the Department of Quantitative Analysis and Operations Management and as associate dean of the College of Business Administration. He was also coordinator of the colleges first executive program. In addition to introductory statistics for business students, Dr. Anderson taught graduate-level courses in regression analysis, multivariate analysis and management science. He also taught statistical courses at the Department of Labor in Washington, D.C. Dr. Anderson has received numerous honors for excellence in teaching and service to student organizations. He is the co-author of ten well-respected textbooks related to decision sciences and he actively consults with businesses in the areas of sampling and statistical methods. Born in Grand Forks, North Dakota, Dr. Anderson earned his B.S., M.S. and Ph.D. degrees from Purdue University. Dennis J. Sweeney is professor emeritus of quantitative analysis and founder of the Center for Productivity Impro...
1. Introduccin.
2. Introduccin a la probabilidad.
3. Distribuciones de probabilidad
4. Anlisis de decisiones.
5. Utilidad y teora de juegos.
6. Anlisis de las series de tiempo y elaboracin de pronsticos.
7. Introduccin a la programacin lineal.
8. Programacin lineal: Anlisis de sensibilidad e interpretacin de la solucin.
9. Aplicaciones de la programacin lineal en marketing, finanzas y administracin de operaciones.
10. Modelos de distribucin y de red.
11. Programacin lineal entera.
12. Aplicaciones de optimizacin avanzada.
13. Programacin de proyectos: pert / cpm.
14. Modelos de inventario.
15. Modelos de lnea de espera.
16. Simulacin.
17. Procesos de Markov.
Apndice A: Construccin de modelos de hoja de clculo. Apndice B: Probabilidades binomiales