At the end of 2019 world was shocked by a new disease caused SARS-CoV-2 (Severe Acute Respiratory Syndrome Coronavirus 2). The is called Covid-19 (Coronavirus Disease). mortality rate due to increasing every day. In Indonesia as April 2021, confirmed patients who died reached 42,530 patients, seeing high so it needs be studied further that risk death these can minimized. This research utilizing...

The Indian logistics industry is in a period of rapid development. purpose this study to analyze the factors affecting punctuality trucks for distribution services India based on data analysis. comes from 6880 pieces VTS platform. A binary regression model was established analysis, and tested ensure statistical significance. Binary logistic used examine truck types, geographic locations, commod...

Abstract Logistic reduced rank regression is a useful data analysis tool when we have multiple binary response variables and set of predictors. In this paper, describe logistic present new majorization minimization algorithm for the estimation model parameters. Furthermore, discuss Type I D triplots visualizing results model, compare them, then develop hybrid triplot using elements both types. ...

Researchers commonly apply item response theory (IRT) models to binary and ordinal items in order to measure an underlying trait using a collection of observed responses to test questions or items. For binary items, a common IRT model is the two parameter logistic (2PL) form. Assume that we have observed p item responses for n individuals where a correct responses is designated with a ’1’ and a...