Abstract: This study provides an in-depth investigation into the conducted interference mechanisms within variable frequency motor drive systems, aiming to offer theoretical guidance for system design ...

ABSTRACT: This study investigates the application of cumulative link models with alternative distributions (hyperbolic secant, Laplace, and Cauchy) to model ordinal outcomes of depressive severity ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Dataset: survey ratings (1–10 scale) Target variable: Writing Methods: CUB (in R), Proportional Odds Model (in Python) Goal: Compare model adequacy and interpret ordinal responses ...

This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

In recent years, high inflation and global conflict busted economist predictions. How well are your funds or portfolios prepared to weather market surprises? Scenario analysis can help portfolio ...

How to Detect Potential Closet Indexing How to Assess Market Timing Ability Unlock More Code Snippets for Fund Evaluation Actively managed funds typically charge higher fees than index funds based on ...

ABSTRACT: The UN Sustainable Development Goal 12—“Responsible consumption and production” targets efficient use of resources and the lessening of waste and pollution. Organisations strive to measure ...