Quantitative methods for business David R. Anderson, Dennis J. Sweeney, Thomas A. Williams.
Detalles de publicación: Cincinnati, Ohio South-Western College Pub. c2010.Edición: 11e edDescripción: xix, 880 p. col. ill., col. map 26 cmISBN:- 9780324651812
- 658.4/033 21
| Imagen de cubierta | Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Ubicación en estantería | Signatura topográfica | Materiales especificados | Info Vol | URL | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | Prioridad de la cola de reserva de ejemplar | Reservas para cursos | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Libro | Biblioteca Mons. Iñaki Mallona (Arecibo) Colección General ab | 658.4033 A546q 2010 (Navegar estantería(Abre debajo)) | Disponible | 60000010093067 |
Descripciones mejoradas de Syndetics:
This revision of QUANTITATIVE METHODS FOR BUSINESS provides students with a conceptual understanding of the role that quantitative methods play in the decision-making process. This text describes the many quantitative methods that have been developed over the years, explains how they work, and shows how the decision-maker can apply and interpret data. Written with the non-mathematician in mind, this text is applications-oriented. Its "Problem-Scenario Approach" motivates and helps students understand and apply mathematical concepts and techniques. In addition, the managerial orientation motivates students by using examples that illustrate situations in which quantitative methods are useful in decision making.
Includes bibliographical references and index.
Tabla de contenidos provista por Syndetics
- 1 Introduction
- 2 Introduction to Probability
- 3 Probability Distributions
- 4 Decision Analysis
- 5 Utility and Game Theory
- 6 Forecasting
- 7 Introduction to Linear Programming
- 8 Linear Programming: Sensitivity Analysis and Interpretation of Solution
- 9 Linear Programming Applications in Marketing, Finance, and Operations Management
- 10 Distribution and Network Models
- 11 Integer Linear Programming
- 12 Advanced Optimization Applications
- 13 Project Scheduling: PERT/CPM
- 14 Inventory Models
- 15 Waiting Line Models
- 16 Simulation
- 17 Markov Processes
- Appendixes A-G
- Index