Throughout any project, you’re going to gather up quite a bit of data. Now, this can be broken down into two categories: ...

Journal of the Royal Statistical Society. Series D (The Statistician), Vol. 47, No. 2 (1998), pp. 377-383 (7 pages) In medical and social surveys a large number of multiply correlated explanatory ...

This is a preview. Log in through your library . Abstract The omission of important variables is a well-known model specification issue in regression analysis and mixed linear models. The author ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

The Statistical & Data Sciences (SDS) Program links faculty and students from across the college interested in learning things from data. At Smith, students learn statistics by doing—class time ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to language for statistics, but the "Tidyverse" has given the language a serious ...

Daniel Jassy, CFA, is an Investopedia Academy instructor and the founder of SPYderCRusher Research. He contributes to Excel and Algorithmic Trading. Amy is an ACA and the CEO and founder of OnPoint ...