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A comprehensive yet accessible introduction to the subject, Financial Accounting for Decision Makers focuses on the ways in which financial statements and information can be used to improve the quality of decision making. By introducing topics gradually and explaining technical terminology in a clear, friendly style, the authors cater both for accounting students, and for those studying entry-level accounting within another field. A practical emphasis throughout the book ensures that the material is always relevant and suitable to the decision makers of the future

657 --- 657 Accountancy --- Accountancy --- Comptabilité de gestion. --- Prise de décision (statistique)

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Markov processes --- Statistical decision --- Markov, Processus de --- Prise de décision (Statistique) --- 519.217 --- AA / International- internationaal --- 330.3 --- 305.6 --- Decision problems --- Game theory --- Operations research --- Statistics --- Management science --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Stochastic processes --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics. --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen. --- Theses --- Markov processes. --- Statistical decision. --- 519.217 Markov processes --- Prise de décision (Statistique) --- Risicotheorie, speltheorie. Risicokapitaal. Beslissingsmodellen --- Methode in staathuishoudkunde. Statische, dynamische economie. Modellen. Experimental economics --- Markov, Processus de. --- Prise de décision (statistique) --- Recherche opérationnelle --- Prise de décision (statistique) --- Recherche opérationnelle

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Markov processes --- Statistical decision --- Markov, Processus de --- Prise de décision (Statistique) --- 519.217 --- Decision problems --- Game theory --- Operations research --- Statistics --- Management science --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Stochastic processes --- 519.217 Markov processes --- Prise de décision (Statistique) --- Markov processes - Congresses

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In the literature of decision analysis it is traditional to rely on the tools provided by probability theory to deal with problems in which uncertainty plays a substantive role. In recent years, however, it has become increasingly clear that uncertainty is a mul­ tifaceted concept in which some of the important facets do not lend themselves to analysis by probability-based methods. One such facet is that of fuzzy imprecision, which is associated with the use of fuzzy predicates exemplified by small, large, fast, near, likely, etc. To be more specific, consider a proposition such as "It is very unlikely that the price of oil will decline sharply in the near future," in which the italicized words play the role of fuzzy predicates. The question is: How can one express the mean­ ing of this proposition through the use of probability-based methods? If this cannot be done effectively in a probabilistic framework, then how can one employ the information provided by the proposition in question to bear on a decision relating to an investment in a company engaged in exploration and marketing of oil? As another example, consider a collection of rules of the form "If X is Ai then Y is B,," j = 1, . . . , n, in which X and Yare real-valued variables and Ai and Bi are fuzzy numbers exemplified by small, large, not very small, close to 5, etc.

Probability theory --- Statistical decision --- Fuzzy sets --- Uncertainty (Information theory) --- Prise de décision (Statistique) --- Ensembles flous --- Incertitude (Théorie de l'information) --- Management --- Business & Economics --- Management Theory --- 519.226 --- Decision problems --- Game theory --- Operations research --- Statistics --- Management science --- Sets, Fuzzy --- Fuzzy mathematics --- Set theory --- Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Fuzzy sets. --- Statistical decision. --- 519.226 Inference and decision theory. Likelihood. Bayesian theory. Fiducial probability --- Prise de décision (Statistique) --- Incertitude (Théorie de l'information)

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Stochastic processes --- Dynamic programming. --- Markov processes. --- Statistical decision. --- Dynamic programming --- Markov processes --- Statistical decision --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Decision problems --- Game theory --- Operations research --- Statistics --- Management science --- Analysis, Markov --- Chains, Markov --- Markoff processes --- Markov analysis --- Markov chains --- Markov models --- Models, Markov --- Processes, Markov --- Mathematical optimization --- Programming (Mathematics) --- Systems engineering --- 519.217 --- 519.217 Markov processes --- Programmation dynamique. --- Markov, Processus de. --- Prise de décision (statistique)