Originally published1 Aug 2006https://doi.org/10.1161/CIRCULATIONAHA.105.600189Circulation. 2006;114:445–449 Estimation is the process of determining a likely value ...

Abstract: We explore in this paper a novel sampling algorithm, referred to as algorithm PAS (standing for proportion approximation sampling), to generate a high-quality online sample with the desired ...

A recent article explained the role of Gas Chromatography-Mass Spectrometry (GC/MS) in the analytics laboratory. The current article focuses on reviewing the technology used for preparing volatile ...

1 Technology Center, China Tobacco Sichuan Industrial Co., Ltd., Chengdu, China 2 College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China Accurate detection of ...

The Central Limit Theorem is a statistical concept applied to large data distributions. It says that as you randomly sample data from a distribution, the means and standard deviations of the samples ...

Predicting the timing of phenological events is important in agriculture, especially high-revenue products. A project sponsored by USDA-ARS had the objective of adapting a previously developed model ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Thomas J. Brock is a CFA and CPA with more ...

Abstract: We propose a sample-based model predictive control (MPC) method for collision-free navigation that uses a normalizing flow as a sampling distribution, conditioned on the start, goal, ...

Sampling distributions are vital in the world of statistics and data analysis. They provide estimations and insight into the characteristics of a population based on samples taken from that population ...