A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
With statistical sampling, counsel can simplify damage analyses, avoid potential issues with incomplete or missing data, and minimize the risk of error. In our prior ...
A research team led by Prof. PAN Ding, Associate Professor from the Departments of Physics and Chemistry, and Dr. LI Shuo-Hui, Research Assistant Professor from the Department of Physics at the Hong ...
When reduced-sugar gummy startup Häppy Candy debuted last fall it launched a free sampling campaign online supported by nano-influencers to help drive foot traffic to local retailers, gather consumer ...
The analysis of covariance (Ancova) is a widely used statistical technique for the comparison of groups with respect to a quantitative dependent variable in such a way that the comparison takes into ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
The acceptance sampling plan (ASP) is a statistical tool used in industry for quality control to determine the quality of products by selecting a specified number for testing in order to accept or ...
Abstract: This paper explores the optimization of the production process based on statistical sampling and integer linear programming. Initially, we designed a sampling inspection plan to help ...
Abstract: Sampling from probability distributions is a critical problem in statistics and machine learning, particularly in Bayesian inference, where direct integration over the posterior distribution ...
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