![]() ![]() The methods are extended in the second half of the book to construct a general theory of conditional probability and statistical inference. These include methods for assessing probabilities, modifying the assessments to achieve coherence, updating them to take account of new information, and combining them to calculate other probabilities, draw conclusions and make decisions. ![]() The book develops mathematical methods for reasoning using imprecise probabilities. The degree of imprecision can reflect both the amount of information on which probabilities are based and the extent of conflict between different types of information. The imprecision can be modelled mathematically by upper and lower probabilities or (more generally) upper and lower previsions. It is argued that, in order to give appropriate weight to both ignorance and uncertainty, imprecise probabilities need to be assessed. The book is concerned with the problems of reasoning under conditions of uncertainty, partial information and ignorance. ![]() This text presents a theory of probabilistic reasoning, statistical inference and decision. Statistical Reasoning with Imprecise Probabilities (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)īook Title :Statistical Reasoning with Imprecise Probabilities (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
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