In this paper, we propose two estimating equation-based methods for estimating the regression parameter vector in a multiplicative regression model when a subset of covariates is subject to a ...

Multiple Linear Regression In this part, we will implement linear regression with multiple variables to predict the prices of houses. Suppose we are selling our house and we want to know what a good ...

Multiplicative regression model or accelerated failure time model, which becomes linear regression model after logarithmic transformation, is useful in analyzing data with positive responses, such as ...

A revolutionary area of artificial intelligence called machine learning enables computers to learn from data and forecast without the need for explicit programming. A key component of predictive ...