|
|
|
|
LEADER |
01000caa a22002652 4500 |
001 |
JST077789733 |
003 |
DE-627 |
005 |
20240623113031.0 |
007 |
cr uuu---uuuuu |
008 |
150325s1986 xx |||||o 00| ||eng c |
035 |
|
|
|a (DE-627)JST077789733
|
035 |
|
|
|a (JST)4616015
|
040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
041 |
|
|
|a eng
|
100 |
1 |
|
|a Aven, Terje
|e verfasserin
|4 aut
|
245 |
1 |
0 |
|a Bayesian Inference in a Parametric Counting Process Model
|
264 |
|
1 |
|c 1986
|
336 |
|
|
|a Text
|b txt
|2 rdacontent
|
337 |
|
|
|a Computermedien
|b c
|2 rdamedia
|
338 |
|
|
|a Online-Ressource
|b cr
|2 rdacarrier
|
520 |
|
|
|a We are in this paper concerned with Bayesian inference in a counting process model where the intensities depend on an unknown parameter. In particular, the model gives a unified approach to Bayesian inference for a large number of parametric failure time models with censoring. Asymptotic properties of the Bayes estimator (w.r.t. quadratic loss function) are studied.
|
540 |
|
|
|a Copyright The Almqvist & Wiksell Periodical Company
|
650 |
|
4 |
|a counting processes
|
650 |
|
4 |
|a intensities
|
650 |
|
4 |
|a martingales
|
650 |
|
4 |
|a Bayesian inference
|
650 |
|
4 |
|a survival analysis
|
650 |
|
4 |
|a life testing
|
650 |
|
4 |
|a censoring
|
650 |
|
4 |
|a asymptotic theory
|
650 |
|
4 |
|a Behavioral sciences
|x Psychology
|x Cognitive psychology
|x Cognitive processes
|x Decision making
|x Bayesian theories
|x Bayes estimators
|
650 |
|
4 |
|a Information science
|x Information management
|x Information classification
|x Cladistics
|x Bayesian inference
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Applied statistics
|x Statistical models
|x Parametric models
|
650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Random variables
|x Stochastic processes
|x Martingales
|
650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Probability theory
|x Probabilities
|
650 |
|
4 |
|a Social sciences
|x Communications
|x Censorship
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Statistics
|x Statistical theories
|
650 |
|
4 |
|a Mathematics
|x Pure mathematics
|x Geometry
|x Geometric shapes
|x Curves
|x Asymptotes
|x Asymptotic properties
|
650 |
|
4 |
|a Philosophy
|x Metaphysics
|x Etiology
|x Determinism
|
650 |
|
4 |
|a Mathematics
|x Applied mathematics
|x Analytics
|x Analytical estimating
|x Maximum likelihood estimation
|
655 |
|
4 |
|a research-article
|
773 |
0 |
8 |
|i Enthalten in
|t Scandinavian Journal of Statistics
|d Blackwell Publishers, 1974
|g 13(1986), 2, Seite 87-97
|w (DE-627)266018297
|w (DE-600)1466951-1
|x 14679469
|7 nnns
|
773 |
1 |
8 |
|g volume:13
|g year:1986
|g number:2
|g pages:87-97
|
856 |
4 |
0 |
|u https://www.jstor.org/stable/4616015
|3 Volltext
|
912 |
|
|
|a GBV_USEFLAG_A
|
912 |
|
|
|a SYSFLAG_A
|
912 |
|
|
|a GBV_JST
|
912 |
|
|
|a GBV_ILN_11
|
912 |
|
|
|a GBV_ILN_20
|
912 |
|
|
|a GBV_ILN_22
|
912 |
|
|
|a GBV_ILN_24
|
912 |
|
|
|a GBV_ILN_31
|
912 |
|
|
|a GBV_ILN_39
|
912 |
|
|
|a GBV_ILN_40
|
912 |
|
|
|a GBV_ILN_60
|
912 |
|
|
|a GBV_ILN_62
|
912 |
|
|
|a GBV_ILN_63
|
912 |
|
|
|a GBV_ILN_65
|
912 |
|
|
|a GBV_ILN_69
|
912 |
|
|
|a GBV_ILN_70
|
912 |
|
|
|a GBV_ILN_90
|
912 |
|
|
|a GBV_ILN_100
|
912 |
|
|
|a GBV_ILN_101
|
912 |
|
|
|a GBV_ILN_110
|
912 |
|
|
|a GBV_ILN_120
|
912 |
|
|
|a GBV_ILN_285
|
912 |
|
|
|a GBV_ILN_374
|
912 |
|
|
|a GBV_ILN_702
|
912 |
|
|
|a GBV_ILN_2001
|
912 |
|
|
|a GBV_ILN_2003
|
912 |
|
|
|a GBV_ILN_2005
|
912 |
|
|
|a GBV_ILN_2006
|
912 |
|
|
|a GBV_ILN_2007
|
912 |
|
|
|a GBV_ILN_2008
|
912 |
|
|
|a GBV_ILN_2009
|
912 |
|
|
|a GBV_ILN_2010
|
912 |
|
|
|a GBV_ILN_2011
|
912 |
|
|
|a GBV_ILN_2014
|
912 |
|
|
|a GBV_ILN_2015
|
912 |
|
|
|a GBV_ILN_2018
|
912 |
|
|
|a GBV_ILN_2020
|
912 |
|
|
|a GBV_ILN_2021
|
912 |
|
|
|a GBV_ILN_2026
|
912 |
|
|
|a GBV_ILN_2027
|
912 |
|
|
|a GBV_ILN_2044
|
912 |
|
|
|a GBV_ILN_2050
|
912 |
|
|
|a GBV_ILN_2056
|
912 |
|
|
|a GBV_ILN_2057
|
912 |
|
|
|a GBV_ILN_2061
|
912 |
|
|
|a GBV_ILN_2088
|
912 |
|
|
|a GBV_ILN_2107
|
912 |
|
|
|a GBV_ILN_2110
|
912 |
|
|
|a GBV_ILN_2190
|
912 |
|
|
|a GBV_ILN_2938
|
912 |
|
|
|a GBV_ILN_2947
|
912 |
|
|
|a GBV_ILN_2949
|
912 |
|
|
|a GBV_ILN_2950
|
912 |
|
|
|a GBV_ILN_4012
|
912 |
|
|
|a GBV_ILN_4035
|
912 |
|
|
|a GBV_ILN_4037
|
912 |
|
|
|a GBV_ILN_4046
|
912 |
|
|
|a GBV_ILN_4112
|
912 |
|
|
|a GBV_ILN_4126
|
912 |
|
|
|a GBV_ILN_4242
|
912 |
|
|
|a GBV_ILN_4251
|
912 |
|
|
|a GBV_ILN_4305
|
912 |
|
|
|a GBV_ILN_4306
|
912 |
|
|
|a GBV_ILN_4307
|
912 |
|
|
|a GBV_ILN_4313
|
912 |
|
|
|a GBV_ILN_4322
|
912 |
|
|
|a GBV_ILN_4323
|
912 |
|
|
|a GBV_ILN_4325
|
912 |
|
|
|a GBV_ILN_4335
|
912 |
|
|
|a GBV_ILN_4346
|
912 |
|
|
|a GBV_ILN_4392
|
912 |
|
|
|a GBV_ILN_4393
|
912 |
|
|
|a GBV_ILN_4700
|
951 |
|
|
|a AR
|
952 |
|
|
|d 13
|j 1986
|e 2
|h 87-97
|