Results 91 to 100 of about 2,844,453 (243)
ABSTRACT A recent UN report describes many regions as facing ‘water bankruptcy,’ a condition in which available water resources can no longer meet existing demands. In practice, this means irrigation will likely bear the greatest burden of future water‐use reductions, a complicated and fraught decision to make given its critical role in food security ...
Wim G. M. Bastiaanssen +30 more
wiley +1 more source
Testing the bivariate distribution of daily equity returns using copulas. An application to the Spanish stock market [PDF]
In this paper we deal with the identification of dependencies between time series of equity returns. Marginal distribution functions are assumed to be known, and a bivariate chi-square test of fit is applied in a fully parametric copula approach. Several
Antonio Alegre Escolano +1 more
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Construction and Application of a Novel C‐Vine Copula‐Based Multi‐Variate Ecological Drought Index
ABSTRACT A comprehensive ecological drought index capturing vegetation growth conditions and meteorological–hydrological variability is essential for assessing ecological drought and optimizing water resource management. This study selected soil moisture (SM), actual evapotranspiration (ET), land surface temperature (LST) and leaf area index (LAI) to ...
Haofei Zhang, Xingye Han, Zhijun Wu
wiley +1 more source
ABSTRACT We estimate the causal effects of the introduction of the minimum wage in Germany on the distributions of hourly wages, monthly earnings, and hours worked, combining rich large‐scale data sources. We compare linear and non‐linear versions of distribution regression difference‐in‐differences (DR‐DiD) and also estimate bivariate DR‐DiD.
Martin Biewen +2 more
wiley +1 more source
The changes in joint return period of compound meteorological hot‐dry (CMHHE) and hot‐wet (CMHWE) and compound hydrological hot‐dry (CHHDE) and hot‐wet (CHHWE) extremes were attributed to changes in associated univariate extremes and their dependence.
Ruting Yang +6 more
wiley +1 more source
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source
Numerical weather prediction output necessitates calibration, as weather model systems are unable to replicate the correct statistics of observations. Such processing is especially important when predicting extreme weather. Calibration methods function by learning from prediction inadequacies during a training phase and by exploiting this information ...
Dmitrij Japs +3 more
wiley +1 more source
Entrepreneurial Orientation and Sustainable Enterprise Growth: The Role of Entrepreneurial Agility
ABSTRACT This study examines the relationships among entrepreneurial orientation (EO), entrepreneurial agility (EA), and sustainable enterprise growth (SEG) in manufacturing SMEs in Ghana, drawing on Dynamic Capability Theory. A quantitative design was used, with data collected from registered SMEs across key industrial regions via simple random ...
Samuel Oduro Owusu +3 more
wiley +1 more source
Nonstationary flood coincidence risk analysis using time-varying copula functions. [PDF]
Feng Y +5 more
europepmc +1 more source
Severity‐Based Reliability Assessment of Energy Communities
We develop a severity‐based semi‐Markov framework that replaces binary generation‐demand adequacy with a time‐varying, multistate classification of renewable‐energy shortfalls. The method quantifies shortfall probability, magnitude, persistence, first‐passage time, and unsafe occupation, and derives a cyclo‐stationary severity law to support safety ...
Guglielmo D'Amico +2 more
wiley +1 more source

