LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

Plants produce a wide diversity of compounds. Broadly, these are separated into primary metabolites, which are necessary for ...

Methods to assess and address assumption violations are crucial in statistical model selection. Techniques like residual analysis, normality tests, and variance inflation factors are employed to ...

More information: Daniel R. Kowal et al, Monte Carlo Inference for Semiparametric Bayesian Regression, Journal of the American Statistical Association (2024). DOI: 10.1080/01621459.2024.2395586 ...

This Issue Brief surveys several key methods, including Benford’s Law, Bayesian finite mixture modeling, and outlier analysis, along with a range of other statistical techniques.

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding ...

The method, which involves adding nitrogen gas to kegs and to little balls inside cans of Guinness, led to today’s hugely popular “nitro brew” styles of beer and coffee.

University of Barcelona. "Improving statistical methods to protect wildlife populations." ScienceDaily. ScienceDaily, 21 May 2024. <www.sciencedaily.com / releases / 2024 / 05 / 240521124615.htm>.

The Shpilkin method "offers a simple way of quantitatively assessing electoral fraud in Russia, whereas most other approaches focus on detecting whether or not fraud has been committed", said ...

2 Methods This study utilized a genome-wide association study (GWAS) data of four epigenetic clocks, including HannumAge, PhenoAge, and GrimAge, as well as epigenetic surrogate markers to assess their ...

The fixture fault diagnosis flowchart is built to decrease false and missing alarm rate in actual production process. The case study based on the real BIW component assembly process data from BBA ...