n this paper, we introduce a flexible and widely applicable nonparametric entropy-based testing procedure that can be used to assess the validity of simple hypotheses about a specific parametric population distribution. The testing methodology relies on the characteristic function of the...

Under certain parameter restrictions, the exact solution of the Cox-Ingersoll-Ross (CIR) equation is obtained in closed form. This explicit solution is used to study several well-known numerical methods specifically proposed in the literature for approximating the solution to the CIR problem....

The probability distribution function (PDF) of the lift-off velocities of Aeolian (windblown) sand particles – i.e., the velocities with which the particles rebound or are ejected from the bed owing to a granular-bed collision – is an important parameter in models of sediment transport and...

The probability distribution function (PDF) of the lift-off velocities of Aeolian (windblown) sand particles – i.e., the velocities with which the particles rebound or are ejected from the bed owing to a granular-bed collision – is an important parameter in models of sediment transport and...

Across the southwestern United States, high-severity wildfire is causing increasingly large patches of tree mortality, removing the seed sources required for the natural regeneration of these formerly conifer-dominated landscapes. Planting tree seedlings can accelerate succession and restore the...

The problem of the most probable distributions on energy is studied in a combinatorial formulation, under the natural hypotheses regarding conservation laws, such as conservation of the total number of particles, total energy, etc. The particle distributions on the maximum and minimum energies...

Information on water table depth (WTD) in polder areas and wetlands is important in, for example, estimating emissions of greenhouse gases, assessing the agricultural and ecological potential, and flood risk management. The seasonal variation of WTDs is summarized with averages of the yearly...

Based on Bayesian model averaging (BMA), the suitability and characteristics of the BMA model for forecasting 2-m temperature in Xinjiang of China was analyzed by using the forecast results of the Desert Oasis Gobi Regional Analysis Forecast System (DOGRAFS) and Rapid-refresh Multiscale Analysis...

In this paper, a novel conditional focus probability learning model, termed MCNN, is proposed for multi-focus image fusion (MFIF). Given a pair of source images, their conditional focus probabilities can be generated by using our MCNN trained well, which is further converted into the binary...

To scientifically judge the structural abrupt transition characteristics of the carbon market price is an important means to comprehensively analyze its fluctuation law and effectively prevent carbon market risks. We propose a framework to identify abrupt transitions in the carbon market from...