Dr Edwards' stimulating and provocative book advances the thesis that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom, but rather likelihood - the concept introduced by Fisher as a measure of relative support amongst different hypotheses. Starting from the simplest considerations and assuming no more than a modest acquaintance with probability theory, the author sets out to reconstruct nothing less than a consistent theory of statistical inference in science.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Dr Edwards' stimulating and provocative book advances the thesis that the appropriate axiomatic basis for inductive inference is not that of probability, with its addition axiom, but rather likelihood - the concept introduced by Fisher as a measure of relative support amongst different hypotheses. Starting from the simplest considerations and assuming no more than a modest acquaintance with probability theory, the author sets out to reconstruct nothing less than a consistent theory of statistical inference in science.
' ... a cogent and clear argument in favour of likelihood as a basis for statistics.' Operations Research
'The book is extremely clearly and well written. It contains a wealth of interesting and practical examples drawn from various fields of science. A general book on this topic at this level was long overclue, and having appeared it will be hard to beat.' Mathematical Reviews
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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