Fuzzy statistics and random variables represent a progressive fusion of traditional probability theory with the principles of fuzzy logic, enabling the treatment of imprecision and vagueness inherent ...

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 ...

Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing ...

Programming C without variables is like, well, programming C without variables. They are so essential to the language that it doesn’t even require an analogy here. We can declare and use them as ...

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 ...

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 ...

Want to learn how to code but don't know where to start? We've got you covered. We'll be teaching you the basics all week, and here's your first lesson. Each lesson will be video-based (as you can see ...

Although the snooze button is probably the most commonly used button on an alarm clock, even a simple AlarmClock class needs a few more features. For instance, you might want to control how long the ...