Results 11 to 20 of about 97,680 (303)

A Method of Probability Distribution Modeling of Multi-Dimensional Conditions for Wind Power Forecast Error Based on MNSGA-II-Kmeans

open access: yesEnergies, 2022
How to consider both the influence of weather and wind power in the modeling process of probability distribution of wind power forecast error (WPFE), and to emphasize the application value of conditional modeling, is rarely studied at present. This paper
Jian Yang   +5 more
doaj   +1 more source

Further characterization based on conditional expectations: new and extended findings

open access: yesJournal of Taibah University for Science, 2023
On the basis of conditional expectation of a random variable function, we present few characterization findings in this study. For a given function g, [Formula: see text], we present necessary and sufficient conditions for characterization results in ...
Ali. A. Al-Shomrani
doaj   +1 more source

New bivariate and multivariate log-normal distributions as models for insurance data

open access: yesResults in Applied Mathematics, 2022
The body of most multivariate financial data sets can be well modeled by log-normal distributions. Yet not many multivariate log-normal distributions are available in the literature.
Saralees Nadarajah, Jiahang Lyu
doaj   +1 more source

New Checkable Conditions for Moment Determinacy of Probability Distributions [PDF]

open access: yesTheory of Probability & Its Applications, 2020
Проанализированы некоторые условия, которые играют существенную роль при выяснении, однозначно ли данное вероятностное распределение определяется своими моментами. Мы предлагаем новые условия как для абсолютно непрерывных, так и для дискретных распределений.
Stoyanov, J. M., Lin, G. D., Kopanov, P.
openaire   +2 more sources

Specification of the Conditional Expectation by Simple Linear Regression Model For Binomial Distribution Conditioned with Varying Sample Size. [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2009
In this research, we consider the study of conditional expectation and it's relationship with regression model. The conditional expectation has a linear form which is specified as a simple linear regression model. The power transformation was used on the
doaj   +1 more source

Towards a Categorical Account of Conditional Probability [PDF]

open access: yesElectronic Proceedings in Theoretical Computer Science, 2015
This paper presents a categorical account of conditional probability, covering both the classical and the quantum case. Classical conditional probabilities are expressed as a certain "triangle-fill-in" condition, connecting marginal and joint ...
Robert Furber, Bart Jacobs
doaj   +1 more source

Conditional probability of distributed surface rupturing during normal-faulting earthquakes [PDF]

open access: yesSolid Earth, 2021
Abstract. Coseismic surface faulting is a significant source of hazard for critical plants and distributive infrastructure; it may occur either on the principal fault or as distributed rupture on nearby faults. Hazard assessment for distributed faulting is based on empirical relations which, in the case of normal faults, were derived almost 15 years ...
Maria Francesca Ferrario, Franz Livio
openaire   +3 more sources

Flood frequency analysis of Manas River Basin in China under non‐stationary condition

open access: yesJournal of Flood Risk Management, 2021
Incorporating 50 years of flood data for the Manas River Kenswat Hydrological Station from 1957 to 2006, the Pettitt test and Mann–Kendall trend test are used to analyse non‐stationarity of the flood characteristic sequences.
Chaofei He   +4 more
doaj   +1 more source

Characterizing a Joint Probability Distribution by Conditionals

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1993
SUMMARY We derive conditions under which a set of conditional and marginal probability distributions will uniquely specify an all-positive joint distribution. Our theoretical result may yield insights into the construction and simulation of multivariate probability models.
Gelman, Andrew, Speed, T. P.
openaire   +2 more sources

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