Time‐Frequency Analysis of EEG Signals and GLCM Features for Depth of Anesthesia Monitoring

SM Mousavi, A Asgharzadeh-Bonab… - Computational …, 2021‏ - Wiley Online Library
One of the important tasks in the operating room is monitoring the depth of anesthesia (DoA)
during surgery, and noninvasive techniques are very popular. Hence, we propose a new …

Forecasting the transportation energy demand with the help of optimization artificial neural network using an improved red fox optimizer (IRFO)

Y Liu, G Yan, A Settanni - Heliyon, 2023‏ - cell.com
Transportation energy demand has a significant impact on worldwide energy consumption
and greenhouse gas emissions. Accurate transportation energy demand predictions can …

Moving Beyond p < 0.05 in Ecotoxicology: A Guide for Practitioners

RA Erickson, BA Rattner - Environmental Toxicology and …, 2020‏ - Wiley Online Library
Statistical inferences play a critical role in ecotoxicology. Historically, null hypothesis
significance testing (NHST) has been the dominant method for inference in ecotoxicology …

The Exchangeability Assumption for Permutation Tests of Multiple Regression Models: Implications for Statistics and Data Science

J Hardin, L Quesada, J Ye, NJ Horton - arxiv preprint arxiv:2406.07756, 2024‏ - arxiv.org
Permutation tests are a powerful and flexible approach to inference via resampling. As
computational methods become more ubiquitous in the statistics curriculum, use of …

[كتاب][B] Evaluating what works: an intuitive guide to intervention research for practitioners

DVM Bishop, P Thompson - 2023‏ - books.google.com
Those who work in allied health professions and education aim to make people's lives
better. Often, however, it is hard to know how effective this work has been: would change …

[كتاب][B] Analyzing Baseball Data with R

J Albert, BS Baumer - 2018‏ - taylorfrancis.com
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball
enthusiasts, and students interested in exploring the richness of baseball data. It equips you …