Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. While the terms data analysis and ...

This is a preview. Log in through your library . Abstract We have examined the statistical requirements for the detection of mixtures of two lognormal distributions in doubly truncated data when the ...

A Bayesian nonparametric estimate of the survival distribution is derived under a particular sampling scheme for grouped data that includes the possibility of censoring. The estimate uses the prior ...

The exponentially increasing amounts of data being generated each year make getting useful information from that data more and more critical. The information frequently is stored in a data warehouse, ...

Have you ever found yourself staring at multiple Excel tables, wondering how to make sense of the scattered data? Whether you’re managing sales reports, tracking inventory, or analyzing performance ...

When you perform regression analysis in Microsoft Excel, you are engaging in a statistical process that helps you understand the relationship between variables. This technique is particularly useful ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Any baseball fan knows that analyzing data is a big part of the experience. But data ...