Since ancient times, China has been a major agricultural country and is now the world's top food producer. With second largest population in world, it of great relevance to investigate factors influencing grain production. In this paper, we look at main that affect yield. A simple multiple linear regression analysis was used develop model with fertiliser application, sown area, flooded farm mac...

This report describes a novel Stata-based application of trigonometric regression modelling to 55 years of multiple sclerosis relapse data from 46 clinical centers across 20 countries located in both hemispheres. Central to the success of this method was the strategic use of plot analysis to guide and corroborate the statistical regression modelling. Initial plot analysis was necessary for esta...

In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...

background: tehran is the capital of iran with an increasing multiple sclerosis (ms) incidence. a retrospective population-based study was conducted to evaluate the status of ms prevalence and ms incidence trends in tehran province, iran. methods: a population-based study was conducted from 1991 to 2014 in tehran province, the capital city of iran based on iranian ms society (imss) registry sys...

We introduce variational Bayes methods for fast approximate inference in functional regression analysis. Both the standard cross-sectional and the increasingly common longitudinal settings are treated. The methodology allows Bayesian functional regression analyses to be conducted without the computational overhead of Monte Carlo methods. Confidence intervals of the model parameters are obtained...