The random effect model

Recently, machine learning (ML) algorithms have proven to be highly effective tools for predicting structural damage. However, the data used in structural health monitoring often consists primarily of normal operational conditions or slight deviations from the original state, with a scarcity of data representing potentially dangerous conditions.

21p viyamanaka 06-02-2025 1 1   Download

This study examines the current state of inflation across 45 nations and reevaluates its interplay with economic growth, focusing on the years 2010 through 2021. Utilizing methodologies including Ordinary Least Squares (OLS), fixed effects, and random effects models, we analyze the legal ramifications of inflation on economic development and discern disparities between developed and developing jurisdictions.

18p viyamanaka 06-02-2025 2 2   Download

Tuyển tập các báo cáo nghiên cứu về sinh học được đăng trên tạp chí sinh học thế giới đề tài: Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle

12p toshiba19 08-11-2011 55 2   Download