Added by John Geer on May 6, 2015 at 3:30am — No Comments
Next month marks the 100th anniversary of Babe Ruth’s first home run.
This year, opening day in baseball signals the “closing day” for one of the classic truisms among sports statisticians: the belief that there…Continue
Added by Peter Bruce on April 6, 2015 at 10:40am — No Comments
This week, movie fans around the country engage in the annual ritual of handicapping the Oscar odds, debating public predictions and seeking signs of how their favorites will fare. Can “Birdman” knock out “Boyhood?” Will the “Selma” snub continue?
Hollywood watchers sometimes try to base their calls on statistics, citing the higher Oscar chances for films already honored with British Academy Film or Screen Actors Guild awards. In…Continue
Added by Peter Bruce on February 19, 2015 at 2:30pm — No Comments
Normally I would send such people to see a specialist – no, not a guru, but a sort of health specialist, but because this…Continue
Wisconsin Gov. Scott Walker may be surging as an early favorite for the Republican presidential nomination — but the numbers show the person leading among potential Iowa caucus-goers often doesn’t win. In the Democratic field, Hillary Clinton is the most dominant position …Continue
Can the recent four-point Super Bowl victory by the New England Patriots clue us in as to how many people will die in helicopter accidents?
The link between helicopter accident fatalities and Super Bowl point spreads is the latest …Continue
Post adapted from Correlation vs Causation: Visualization, Statistics, and Intuition!
As someone who has a tendency to think in numbers, I love when success is…Continue
This blog discusses the applications of Monte-Carlo simulation methods by modeling real-world situations, explaining those using well known and often researched statistical distributions such as the Poisson distribution and then applying optimization models to solve a variety of business problems thus enabling managers to take decisions by moving beyond the usual methods and what-if scenario analysis.
Added by Debleena Roy on September 5, 2014 at 5:00pm — No Comments
Added by Ryan Montano on August 28, 2014 at 9:30am — No Comments
Added by Ryan Montano on August 21, 2014 at 9:30am — No Comments
I was often the lone wolf among my peers in university because I supported a prominent place in society for corporations and an important social role for capital. I questioned whether the directors and executives of companies entered into boardrooms really intending to “oppress” people such as minorities and people with disabilities. Did they deliberately make bathrooms inaccessible to people in wheelchairs perhaps to advance their preconceptions of who gets to go to the bathroom, I pondered…Continue
Added by Don Philip Faithful on May 10, 2014 at 9:44am — No Comments
Statistics.com, a provider of online education in statistics and analytics, announces a partnership with CrowdANALYTIX, a predictive modeling “managed crowdsourcing” company, offering a new online course, “Applied Predictive Analytics in partnership with CrowdANALYTIX“, which will run from Oct. 11 to Nov 8, 2013.
The goal of this course is to teach users (who have basic knowledge of R programming, predictive analytics and statistics)…Continue
Added by Janet Dobbins on September 11, 2013 at 6:58am — No Comments
NOTE: H1b is a Visa program where people from outside countries are allowed to work with USA companies. The visa is valid for a 3 year period and is extensible for another 3 years.
United States Department of Labor publishes quarterly data of H1-B and other visa applications. Below is an analysis and visualization of the same data.
What is in the Data…Continue
The folks at Ooyala continue to impress with their quarterly Video Index Report. Checkout Data Scientist, Matt Pisienski's perspective. Oh, and stay tuned until the end and watch the outtakes --that's where the real story is told!
Added by Richard Snee on February 22, 2012 at 7:30am — No Comments
J.D. Opdyke and Alex Cavallo
In operational risk measurement, the estimation of severity distribution parameters is the main driver of capital estimates, yet this remains a non-trivial challenge for many reasons. Maximum likelihood estimation (MLE) does not adequately meet this challenge because of its well-documented non-robustness to modest violations of idealized textbook model assumptions, specifically that the data are independent and identically distributed (i.i.d.), which is…Continue
Added by J.D. Opdyke on February 10, 2012 at 7:30pm — No Comments