The pie sharing problem: Unbiased sampling of N+1 summative weights

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Section 1: Publication

Publication Type

Authorship

Mai, J., Craig, J. R., & Tolson, B. A.

Title

The pie sharing problem: Unbiased sampling of N+1 summative weights

Year

2021

Publication Outlet

Environmental Modelling & Software, 105282

DOI

https://doi.org/10.1016/j.envsoft.2021.105282

ISBN

ISSN

Citation

Mai, J., Craig, J. R., & Tolson, B. A. (2021). The pie sharing problem: Unbiased sampling of N+1 summative weights. Environmental Modelling & Software, 105282. https://doi.org/10.1016/j.envsoft.2021.105282

Abstract

A simple algorithm is provided for randomly sampling a set of N+1 weights such that their sum is constrained to be equal to one, analogous to randomly subdividing a pie into N+1 slices where the probability distribution of slice volumes are identically distributed. The cumulative density and probability density functions of the random weights are provided. The algorithmic implementation for the random number sampling are made available. This algorithm has potential applications in calibration, uncertainty analysis, and sensitivity analysis of environmental models. Three example applications are provided to demonstrate the efficiency and superiority of the proposed method compared to alternative sampling methods.

Plain Language Summary

T-2022-02-28-21aLlixBSCU6f6vakgatxvw Publication 1.0