Predictive probability distributions for petroleum unit resource projections via hierarchical modeling

G. M. Kaufman, R. Faith and J. Scheunemeyer

Combining judgmental assessments using a classical probabilistic hierarchical model helps insure logical coherence of probability assessments by geologists of petroleum volumes in multiple, probabilistically dependent assessment units and allows easy study of how the predictive distribution of total hydrates in all units varies with variation in degrees of between and within unit dependencies

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Year of publication:	2012
Authors:	Kaufman, Gordon M. ; Faith, Ray E. ; Schuenemeyer, John H.
Publisher:	Cambridge, Mass. : MIT Sloan School of Management
Subject:	Erdölvorkommen \| Petroleum resources \| Prognoseverfahren \| Forecasting model

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Extent:	Online-Ressource (38 S.) graph. Darst.
Series:	Sloan working papers. - Cambridge, Mass. : [Verlag nicht ermittelbar], ZDB-ID 2446924-5. - Vol. 4981-12
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Richtiger Name des Verf.: J. Schuenemeyer Systemvoraussetzungen: Acrobat Reader
Other identifiers:	10.2139/ssrn.2196566 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10010195115