Statistical method developed for single-molecule fluorescence analysis

An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...
techtimes

The Role of Assumptions in Statistical Model Selection

Abstract: Assumptions play a pivotal role in the selection and efficacy of statistical models, as unmet assumptions can lead to flawed conclusions and impact decision-making. In both traditional ...
Open Access Government

Leveraging machine learning and robust small area estimation methods for stand-level forest inventory

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...
The Motley Fool

What Is a Statistical Model? Overview and Example

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
The American Bazaar

Murali Haran named editor-in-chief of international statistics journal

Indian American statistician to lead journal amid biosciences being transformed by powerful statistical, machine learning and ...
Devdiscourse

Can a universal bankruptcy model adapt to economic ups and downs? New evidence says it might

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...