Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...
Abstract: The probit regression model is a model used to analyze the relationship between categorical response variables, with predictive variables that are numerical, categorical, or the combination ...
School of Business, East China University of Science and Technology, Shanghai, China The disposition effect describes investors’ irrational behavior of selling profitable assets too soon while holding ...
Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...
What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...
Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...
I am trying to implement the calculation for simple slopes estimation for probit models in lavaan as it is currently not support in semTools. Note that I cross-posted this on rvlenth emmeans package ...
1 Department of Statistics, Ladoke Akintola University of Technology, Ogbomoso, Nigeria. 2 Department of Statistics, Federal University of Technology Akure, Nigeria. 3 Department of Statistics, ...
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