History of Inverse Probability (e-bog) af Dale, Andrew I.
Dale, Andrew I. (forfatter)

History of Inverse Probability e-bog

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It is thought as necessary to write a Preface before a Book, as it is judged civil, when you invite a Friend to Dinner, to proffer him a Glass of Hock beforehand for a Whet. John Arbuthnot, from the preface to his translation of Huygens's &quote;De Ratiociniis in Ludo Alooe&quote;. Prompted by an awareness of the importance of Bayesian ideas in modern statistical theory and practice, I decided ...
E-bog 692,63 DKK
Forfattere Dale, Andrew I. (forfatter)
Forlag Springer
Udgivet 6 december 2012
Genrer Probability and statistics
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781468404159
It is thought as necessary to write a Preface before a Book, as it is judged civil, when you invite a Friend to Dinner, to proffer him a Glass of Hock beforehand for a Whet. John Arbuthnot, from the preface to his translation of Huygens's "e;De Ratiociniis in Ludo Alooe"e;. Prompted by an awareness of the importance of Bayesian ideas in modern statistical theory and practice, I decided some years ago to undertake a study of the development and growth of such ideas. At the time it seemed appropriate to begin such an investigation with an examination of Bayes's Essay towards solving a problem in the doctrine of chances and Laplace's Theorie analytique des probabilites, and then to pass swiftly on to a brief consideration of other nineteenth century works before turning to what would be the main topic of the treatise, videlicet the rise of Bayesian statis- tics from the 1950's to the present day. It soon became apparent, however, that the amount of Bayesian work published was such that a thorough investigation of the topic up to the 1980's would require several volumes - and also run the risk of incurring the wrath of extant authors whose writings would no doubt be misrepre- sented, or at least be so described. It seemed wise, therefore, to restrict the period and the subject under study in some way, and I decided to con- centrate my attention on inverse probability from Thomas Bayes to Karl Pearson.