2004, ISBN: 038720329X
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2004, ISBN: 038720329X
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ISBN: 9780387203294
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2004, ISBN: 038720329X
[EAN: 9780387203294], Neubuch, [SC: 21.5], [PU: Springer New York], WAHRSCHEINLICHKEIT - WAHRSCHEINLICHKEITSTHEORIE; LIKELIHOOD; VARIANCE; MATHEMATICALSTATISTICS; SETS; STATISTICS, Druck … Meer...
ISBN: 9780387203294
gebonden uitgave
Paperback / softback. New. This book integrates the fundamentals of asymptotic theory of statistical inference for time series under nonstandard settings, e.g., infinite variance process… Meer...
2004
ISBN: 038720329X
Softcover reprint of the original 1st ed. 2004 Kartoniert / Broschiert Wahrscheinlichkeit - Wahrscheinlichkeitstheorie, Ökonometrie und Wirtschaftsstatistik, Wahrscheinlichkeitsrechnung… Meer...
ISBN: 9780387203294
Paperback, [PU: Springer-Verlag New York Inc.], This is the first book on the topic of probability matching priors. It targets researchers, Bayesian and frequentist; graduate students in … Meer...
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Gedetalleerde informatie over het boek. - Probability Matching Priors: Higher Order Asymptotics
EAN (ISBN-13): 9780387203294
ISBN (ISBN-10): 038720329X
Gebonden uitgave
pocket book
Verschijningsjaar: 2004
Uitgever: Springer, Berlin
Boek bevindt zich in het datenbestand sinds 2008-02-13T11:49:16+01:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-12-16T14:01:56+01:00 (Amsterdam)
ISBN/EAN: 9780387203294
ISBN - alternatieve schrijfwijzen:
0-387-20329-X, 978-0-387-20329-4
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: datta, mukerjee, gauri sankar
Titel van het boek: probability matching priors, asymptotic statistics, last order, sent from the second order
Gegevens van de uitgever
Auteur: Gauri Sankar Datta; Rahul Mukerjee
Titel: Lecture Notes in Statistics; Probability Matching Priors: Higher Order Asymptotics
Uitgeverij: Springer; Springer US
127 Bladzijden
Verschijningsjaar: 2004-01-08
New York; NY; US
Taal: Engels
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
Available
X, 127 p. 2 illus.
BC; Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik; Wahrscheinlichkeitsrechnung und Statistik; Verstehen; Likelihood; Variance; mathematical statistics; sets; statistics; Statistical Theory and Methods; Probability Theory; Econometrics; Stochastik; Ökonometrie und Wirtschaftsstatistik; EA
1 Introduction and the Shrinkage Argument.- 1.1 Scope of the monograph.- 1.2 The shrinkage argument.- 1.3 An example.- 2 Matching Priors for Posterior Quantiles.- 2.1 Introduction.- 2.2 Setup, notation and preliminaries.- 2.3 Posterior quantile.- 2.4 Characterization of matching priors.- 2.5 Special cases.- 2.6 Further examples.- 2.7 Invariance.- 2.8 General parametric functions and Bayesian tolerance limits.- 2.9 Matching alternative coverage probabilities.- 2.10 Propriety of posteriors.- 3 Matching Priors for Distribution Functions.- 3.1 Introduction.- 3.2 C.d.f matching priors for a single parametric function.- 3.3 C.d.f matching priors for multiple parametric functions.- 4 Matching Priors for Highest Posterior Density Regions.- 4.1 Introduction.- 4.2 Explicit form of an HPD region.- 4.3 Characterization of HPD matching priors.- 4.4 Results in the presence of nuisance parameters.- 5 Matching Priors for Other Credible Regions.- 5.1 Introduction.- 5.2 Matching priors associated with the LR statistic.- 5.3 Frequentist Bartlett adjustment.- 5.4 Matching priors associated with Rao’s score and Wald’s statistics.- 5.5 Perturbed ellipsoidal and HPD regions.- 6 Matching Priors for Prediction.- 6.1 Introduction.- 6.2 Matching priors for prediction: no auxiliary variable.- 6.3 Matching priors for predicting a dependent variable in regression models1.- 6.4 Concluding remarks.- References.The first book on the topic of probability matching priors
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