A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

Learn how cosine similarity works and how to use it in data science, machine learning, and NLP tasks. Practical examples included. #CosineSimilarity #DataScience #MachineLearning China issues new ...

Abstract: Due to the rapid expansion of high-speed systems and the escalating complexity of circuits in recent decades, relying on linearity and applying the superposition concept in high-speed ...

To continue reading this content, please enable JavaScript in your browser settings and refresh this page. Preview this article 1 min A hotel executive says he's ...

Abstract: The purpose of this methods and concepts tutorial is to present the homodyned K-distribution (HKD) statistical modeling of the echo envelope of received radio frequency (RF) signals in the ...

This session, part of the Statistical analysis in systematic reviews series, gave a short, non-technical, introduction to meta-analysis, which is the statistical method used for combining results ...

Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses. The restricted mean survival time (RMST) analysis technique was introduced in health care ...

Many of us are proud to have learned sophisticated statistical methods like structural equation modeling and multilevel modeling and are eager to use these methods to test increasingly sophisticated ...

ABSTRACT: This study examined the impact of four innovation process types—organizational, product, process, and marketing—on the market share of universal banking services in Ghana. Data were ...

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 ...