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Parametric and nonparametric inference from record-breaking data / Sneth GULATI (Cop. 2003)
Titre : Parametric and nonparametric inference from record-breaking data Type de document : texte imprimé Auteurs : Sneth GULATI, Auteur ; William J. PADGETT, Auteur Editeur : Springer Verlag Année de publication : Cop. 2003 Collection : Lecture notes in statistics num. 172 Importance : VIII-113 p. ISBN/ISSN/EAN : 978-0-387-00138-8 Langues : Anglais Mots-clés : statistique inférence inférence bayésienne Résumé : This book provides a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, including Bayesian inference. A unique feature is that it treats the area of nonparametric function estimation from such data in detail, gathering results on this topic to date in one accessible volume. Previous books on records have focused mainly on the probabilistic behavior of records, prediction of future records, and characterizations of the distributions of record values, addressing some inference methods only briefly. The main purpose of this book is to fill this void on general inference from record values Note de contenu : index, références Parametric and nonparametric inference from record-breaking data [texte imprimé] / Sneth GULATI, Auteur ; William J. PADGETT, Auteur . - [S.l.] : Springer Verlag, Cop. 2003 . - VIII-113 p.. - (Lecture notes in statistics; 172) .
ISBN : 978-0-387-00138-8
Langues : Anglais
Mots-clés : statistique inférence inférence bayésienne Résumé : This book provides a comprehensive look at statistical inference from record-breaking data in both parametric and nonparametric settings, including Bayesian inference. A unique feature is that it treats the area of nonparametric function estimation from such data in detail, gathering results on this topic to date in one accessible volume. Previous books on records have focused mainly on the probabilistic behavior of records, prediction of future records, and characterizations of the distributions of record values, addressing some inference methods only briefly. The main purpose of this book is to fill this void on general inference from record values Note de contenu : index, références Exemplaires
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