With the availability of massive multivariate data comes a need to develop flexible
multivariate distribution classes. The copula approach allows marginal models to be …

Meteorological droughts due to the concurrent occurrence of low-precipitation and high-
temperature events can lead to severe negative impacts on agriculture, economy …

Monitoring and prediction of agricultural drought are paramount to food security at the global
and regional scales, particularly under the influence of climate change and anthropogenic …

Probability distributions are the building blocks of statistical modeling and inference. It is
therefore of the utmost importance to know which distribution to use in what circumstances …

The amplifying effects of disasters caused by compound dry and hot extremes (dry‐hot
events) have attracted widespread attention. This study presents a novel Blended Dry and …

Missing values in environmental time series are common and must be imputed before
carrying out an analysis requiring complete data. We propose an imputation method for the …

This paper provides an investigation into the dependence structure among different
disruptive technology sectors driving the Fourth Industrial Revolution and scrutinizes the …

Increases in air temperature lead to increased dryness of the air and potentially develops
increased dryness in the soil. Extreme dryness (in the soil and/or in the atmosphere) affects …

Runoff in many locations within the Canadian Prairies is dominated by intermittent fill-and-
spill between depressions. As a result, many basins have varying fractions of their areas …

A changing climate, with intensifying precipitation may contribute to increasing failures of
dams by overtopping. We present the first analysis of rainfall sequences and events …