9780700224371 - title: decision analysis with business applications de tummala, v. m. rao; rao tummala, v. m. (1 resultados)
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Librería: Past Pages, Oshawa, ON, CanadaPast Pages
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Envío por EUR 65,77Se envía de Canada a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hard Cover. Condición: Fine. Estado de la sobrecubierta: No Jacket (As Issued). Previous Owner Markings (Name Neatly Inked to Front Free Endpaper); Spine, Boards Bumped; Light Shelf Rub to Boards; Spine Slightly Cocked; Edges Lightly Soiled; Slight Yellowing Due to Age. BOOK NUMBER: 022100. CONTENTS: Preface; Chapter 1. Analysis… of Sets and Functions; Chapter 2. Fundamental Concepts of Probability Theory; Chapter 3. Random Variables and Probability Distributions; Chapter 4. Some Discrete Probability Distributions; Chapter 5. Some Continuous Probability Distributions; Chapter 6. Utility and Subjective Probability; Chapter 7. Structure of Decision Analysis Models; Chapter 8. Decision Analysis Under Certainty; Chapter 9. Decision Analysis Under Uncertainty When the Prior Probability Function is Not Known; Chapter 10. Single-Stage Decision Analysis; Chapter 11. Multistage Decision Analysis; Chapter 12. Decision Analysis with Sampling; Chapter 13. Decision Analysis with Sampling When Sample Observations are Discrete; Chapter 14. Decision Analysis with Sampling When Sample Observations are Continuous; Chapter 15. Decision Analysis Approach to Estimation Problems; Chapter 16. Decision Analysis Approach to Testing Hypothesis Problems; Chapter 17. Decision Analysis Approach to Regression Problems; Chapter 18. Conclusion; Appendix; Glossary; Answers to Selected Problems; Index. EXCERPT: Preface - . . . The text begins by developing the concepts of set theory and probability theory (Chapters 1 to 5). These concepts are then used to establish a classification of decision analysis models. The remainder of the book deals with the detailed development and analysis of decision and inference problems. For example, axiomatic development of utility and subjective probability is covered in Chapter 6. Decision analysis models under uncertainty, single-stage, multi-stage, game theory, and decision analysis with sampling are presented in Chapters 9 to 12. Even though the main objective of this textbook is to study decision problems under uncertainty, one chapter is allocated to decision problems under conditions of certainty, e.g., analysis of investment decisions and linear programming, in order to present, in a sense, the other side of the coin. In the concluding chapters certain well-known traditional techniques, such as estimation, hypothesis testing, and regression analysis, are studied from the point of view of the decision analysis approach . . . Size: 8vo - over 7¾" - 9¾" tall.
