Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Gayan Dharmarathne"'
Publikováno v:
Forecasting, Vol 5, Iss 3, Pp 522-535 (2023)
Mathematical aggregation of probabilistic expert judgments often involves weighted linear combinations of experts’ elicited probability distributions of uncertain quantities. Experts’ weights are commonly derived from calibration experiments base
Externí odkaz:
https://doaj.org/article/8a777ca1ca2d4891bf4bba09b0ed5cea
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 7 (2021)
Structured expert judgement (SEJ) is a suite of techniques used to elicit expert predictions, e.g. probability predictions of the occurrence of events, for situations in which data are too expensive or impossible to obtain. The quality of expert pred
Externí odkaz:
https://doaj.org/article/7667fe3f00d14ee89a8dcc2b40d39340
Publikováno v:
Entropy, Vol 24, Iss 6, p 757 (2022)
Estimates based on expert judgements of quantities of interest are commonly used to supplement or replace measurements when the latter are too expensive or impossible to obtain. Such estimates are commonly accompanied by information about the uncerta
Externí odkaz:
https://doaj.org/article/cfb0b1b80bbf4bc99d426a4ff779eb55
Publikováno v:
2022 22nd International Conference on Advances in ICT for Emerging Regions (ICTer).
Publikováno v:
International Journal of Tropical Insect Science. 36:97-105
We studied the food and habitat preferences of beetles of the subfamily Scarabaeinae in a protected tropical monsoon forest, the Wasgomuwa National Park in Sri Lanka. While gaining an insight into the capacity of different resources to support dung b
Autor:
Gayan Dharmarathne, Paul Kabaila
Summary Consider a linear regression model with independent normally distributed errors. Suppose that the scalar parameter of interest is a specified linear combination of the components of the regression parameter vector. Also suppose that we have u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0a40659960e33405b24dd29c545cbbd
http://arxiv.org/abs/1401.3084
http://arxiv.org/abs/1401.3084