Results 21 to 30 of about 214,513 (262)
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
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A joint distribution of significant wave heights (Hs) and peak wave periods (Tp) in the northwestern South China Sea is created using a conditional distribution model in this work.
Gongpeng Liu +3 more
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Sampling the Multivariate Standard Normal Distribution under a Weighted Sum Constraint
Statistical modeling techniques—and factor models in particular—are extensively used in practice, especially in the insurance and finance industry, where many risks have to be accounted for.
Frédéric Vrins
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In this paper, we propose to study the asymptotic properties of some conditional functional parameters, such as the distribution function, the density, and the hazard function, for an explanatory variable with values in a Hilbert space (infinite ...
Hamza Daoudi +2 more
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What to Choose? The Value of Label Claims to Fresh Produce Consumers
We examine consumer response to label information using a hypothetical choice experiment on red leaf lettuce attribute bundles. Using survey responses, several mixed logit models with random parameters and varying correlation assumptions are estimated ...
Craig A. Bond +2 more
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On the Estimation for Compound Poisson Inarch Processes
Considering the wide class of discrete Compound Poisson INARCH models, introduced in [6], the main goal of this paper is to develop and compare parametric estimation procedures for first-order models, applicable without specifying the conditional ...
E. Gonçalves +2 more
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In this paper, several related estimation problems are addressed from a Bayesian point of view, and optimal estimators are obtained for each of them when some natural loss functions are considered.
Agustín G. Nogales
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Accurately accounting for the errors in meteorological parameter predictions is essential for the precise forecasting of dynamic current-carrying capacity in overhead power transmission lines.
Hanru LI +6 more
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Crop Yield Skewness and the Normal Distribution
Empirical studies point to negative crop yield skewness, but the literature provides few clear insights as to why. This paper formalizes three points on the matter. Statistical laws on aggregates do not imply a normal distribution.
David A. Hennessy
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Further characterization based on conditional expectations: new and extended findings
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
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