期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, ; ()
In this industry 4.0 revolution, most of the manufacturing processes are equipped with the digital devices which are continuously recording the data. ......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2020; 36 (5)
We propose a data-driven procedure, cross-estimation for decision selection (CrEDS), to choose from an abundance of off-the-shelf statistical models o......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2020; 36 (5)
The carbon emissions trading scheme combined with feed-in tariff policy is viewed as a feasible policy mix to promote the energy system transferring t......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (2)
For many complex business and industry problems, high-dimensional data collection and modeling have been conducted. It has been shown that interaction......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (2)
The 10th International Conference on Mathematical Methods in Reliability, MMR 2017, held in Grenoble, France during July 3-7, entailed a panel discuss......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (2)
Let (X,Y) be a random vector and let G and H be the marginal distributions of X and Y, respectively. In this paper, we propose two tests, one of Kolmo......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (3)
We address the statistical problem of detecting change points in the stress-strength reliability R=P(X
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (3)
Basis risk arises in a number of financial and insurance risk management problems when the hedging assets do not perfectly match the underlying asset ......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (3)
This paper introduces a solution that combines the Kalman and particle filters to the challenging problem of estimating integrated volatility using hi......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (3)
In practical situations, systems often suffer shocks from external stressing environments, stressing the system at random. These random shocks may hav......
期刊： APPLIED STOCHASTIC MODELS IN BUSINESS AND INDUSTRY, 2019; 35 (3)
Step-stress accelerated degradation testing (SSADT) has become a common approach to predicting lifetime for highly reliable products that are unlikely......
