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 ...

Sampling is an essential step in estimating a parameter: thus, cost and time associated to this step should be minimized. Sequential sampling is characterized by using samples of variable sizes given ...

The AccSamplingDesign package provides tools for designing acceptance sampling plans for both attribute and variable data. Key features include: p1 = 0.005 p2 = 0.03 alpha = 0.05 beta = 0.1 # known ...

Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...

Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of ...

An error has occurred. Please try again. With a The Portland Press Herald subscription, you can gift 5 articles each month. It looks like you do not have any active ...

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 ...

According to Billboard, the St. Louis producer’s diss beat seems to have become the first-ever AI-generated hit song. While it never went to streaming services, “U My Everything” did, making that song ...

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, ...

Standard error (SE) is the standard deviation of the sampling distribution of a statistic such as sample mean or sample proportion. It quantifies the spread of the sample means around the population ...