Richard Sinding-Larsen

Norwegian University of Science and Technology (NTNU)

Høgskoleringen

Trondheim NO-7491, 7491

Norway

SCHOLARLY PAPERS

4

DOWNLOADS

82

SSRN CITATIONS

0

CROSSREF CITATIONS

0

Scholarly Papers (4)

1.

Log-Normal Creaming and the Likelihood of Discovering Additional Giant Petroleum Fields

NHH Dept. of Business and Management Science Discussion Paper No. 2016/3
Number of pages: 19 Posted: 27 Jan 2016
Jostein Lillestol and Richard Sinding-Larsen
Norwegian School of Economics (NHH) - Department of Business and Management Science and Norwegian University of Science and Technology (NTNU)
Downloads 27 (524,453)

Abstract:

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Log-normal distribution, sampling proportional to size, resource prediction

2.

Best Estimate Reporting with Asymmetric Loss

NHH Dept. of Business and Management Science Discussion Paper No. 2015/7
Number of pages: 16 Posted: 30 Jan 2015
Jostein Lillestol and Richard Sinding-Larsen
Norwegian School of Economics (NHH) - Department of Business and Management Science and Norwegian University of Science and Technology (NTNU)
Downloads 27 (524,453)

Abstract:

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Estimate reporting, asymmetric loss, point prediction, predictive distribution

3.

Beta-Creaming

NHH Dept. of Business and Management Science Discussion Paper No. 2015/8
Number of pages: 18 Posted: 12 Feb 2015
Jostein Lillestol and Richard Sinding-Larsen
Norwegian School of Economics (NHH) - Department of Business and Management Science and Norwegian University of Science and Technology (NTNU)
Downloads 17 (586,713)

Abstract:

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Beta distribution, sampling proportional to size, resource estimation

4.

Creaming - And the Depletion of Resources: A Bayesian Data Analysis

NHH Dept. of Business and Management Science Discussion Paper No. 2017/16
Number of pages: 27 Posted: 17 Nov 2017 Last Revised: 07 Mar 2018
Jostein Lillestol and Richard Sinding-Larsen
Norwegian School of Economics (NHH) - Department of Business and Management Science and Norwegian University of Science and Technology (NTNU)
Downloads 11 (627,410)

Abstract:

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Log-Normal Distribution, Sampling Proportional to Size, Resource Prediction