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Can I read Statistical Reasoning with Imprecise Probabilities (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) on EtoBox?

Statistical Reasoning with Imprecise Probabilities (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) by Peter Walley is a nonfiction available to read on EtoBox.

What is Statistical Reasoning with Imprecise Probabilities (Chapman & Hall/CRC Monographs on Statistics & Applied Probability) about?

This text presents a theory of probabilistic reasoning, statistical inference and decision. The book is concerned with the problems of reasoning under conditions of uncertainty, partial information and ignorance. It is argued that, in order to give appropriate weight to both ignorance and uncertainty, imprecise probabilities need to be assessed. The imprecision can be modelled mathematically by upper and lower probabilities or (more generally) upper and lower previsions. 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 book develops mathematical methods for reasoning using imprecise probabilities. 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 methods are extended in the second half of the book to construct a general theory of conditional probability and statistical inference. The mathematical theory is based on simple and compelling principles of avoiding sure loss,

Who reads Statistical Reasoning with Imprecise Probabilities (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Peter Walley
Publisher
Chapman and Hall/CRC
Published
1991
Language
EN
ISBN
9781489934727
Category
nonfiction
Subjects
Mathematics, Stem

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