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Physical Sciences and Mathematics Commons

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Full-Text Articles in Physical Sciences and Mathematics

Advanced Topics In Experimental Design, Jason Anderson Jun 2015

Advanced Topics In Experimental Design, Jason Anderson

Statistics

No abstract provided.


A Study Of The Parametric And Nonparametric Linear-Circular Correlation Coefficient, Robin Tu Jun 2015

A Study Of The Parametric And Nonparametric Linear-Circular Correlation Coefficient, Robin Tu

Statistics

Circular statistics are specialized statistical methods that deal specifically with directional data. Data that is angular require specialized techniques due to the modulo 2π (in radians) or modulo 360 (in degrees) nature of angles.

Correlation, typically in terms of Pearson’s correlation coefficient, is a measure of association between two linear random variables x and y. In this paper, the specific circular technique of the parametric and nonparametric linear-circular correlation coefficient will be explored where correlation is no longer between two linear variables x and y, but between a linear random variable x and circular random variable θ.

A simulation …


Statistical Consulting - Senior Project, Cary Hernandez Jun 2015

Statistical Consulting - Senior Project, Cary Hernandez

Statistics

No abstract provided.


#Twittercritic: Sentiment Analysis Of Tweets To Predict Tv Ratings, Isabel Litton Jun 2015

#Twittercritic: Sentiment Analysis Of Tweets To Predict Tv Ratings, Isabel Litton

Statistics

Twitter has rapidly become one of the most popular sites of the Internet. It functions not just as a microblogging service, but as a crowdsourcing tool for listening, promotion, insight and much more. From the perspective of TV networks, tweets capture the real time reactions of viewers, making them an ideal indicator of a show’s ratings. This paper predicts Internet Movie Database (IMDB) television ratings by text mining Twitter data.

Tweets for five television shows were downloaded over a period of several months utilizing a SAS macro. Television show data, such as rating, show title, episode title, and more were …