Description

Within a quantitative career, you are/will soon be challenged to create an overall value to explain a situational status. For example, socio-economic status, well-being, and in this specific example, happiness among sports fans. This talk seeks to discuss my previous work developed out from student research performed at NSU in its application to my first project for ESPN Sports Analytics, the College Football Fan Happiness Index (http://es.pn/2vmParA) . I will dive into the multivariate statistical techniques of principal component analysis and hierarchal clustering to create this happiness index from a slew of variables.

Presenter Bio

Tiffany Kelly is in her first year on the Sports Analytics Team within ESPN Stats & Information Group as a Sports Analytics Associate. Kelly's main tasks are to aid in the development of advanced metrics through the use of statistical modeling to explain sports that are covered under the ESPN brand across all content platforms (digital, television, etc.). Kelly is a 2016 alumna of Nova Southeastern University from both the H. Wayne Huizenga College of Business & Entrepreneurship and the Halmos College of Natural Sciences and Oceanography using cross departmental research on statistics in sports. Her oral presentation “The ‘Triangle’ Formula: A Role and Play Option Analysis of the Triple-Post Offense” under the guidance of Dr. Jason Gershman from the Department of Mathematics received first place oral presentation at NSU’s 15th Annual Undergraduate Student Symposium in April 2016.

Date of Event

Monday, October 9, 2017

Location

Mailman Hollywood Auditorium

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Oct 9th, 12:00 PM Oct 9th, 1:00 PM

Using Multivariate Statistical Techniques to Aid in a Sports Index Construction

Mailman Hollywood Auditorium

Within a quantitative career, you are/will soon be challenged to create an overall value to explain a situational status. For example, socio-economic status, well-being, and in this specific example, happiness among sports fans. This talk seeks to discuss my previous work developed out from student research performed at NSU in its application to my first project for ESPN Sports Analytics, the College Football Fan Happiness Index (http://es.pn/2vmParA) . I will dive into the multivariate statistical techniques of principal component analysis and hierarchal clustering to create this happiness index from a slew of variables.