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Posted by ZachSlaton

1. Jun 7th, 2013

Monte Carlo Simulation: Forecasting the Likelihood of Outcomes in Complex Systems

What is a Monte Carlo Simulation? How can it help you project end of season points totals and finishing positions? Today on the blog Zach Slaton introduces Monte Carlo simulations and shows us how to develop one. This is the forth post in Zach Slaton's series explaining how to use simple-but-effective statistical concepts that can help provide a richer understanding of the data already at your fingertips. The first post in the series dealt with how linear regression prediction intervals ca...

2. Apr 24th, 2013

The Core Of Predicting Football Match Outcomes: Ordered Logistic Regression

This is the third post in our series by Zach Slaton, explaining how to use simple-but-effective statistical concepts that can help provide a richer understanding of the data already at your fingertips. The first post in the series dealt with how linear regression prediction intervals can yield deeper insights, while the second post explained how to use exponential regression to quantify rare events like goal scoring totals. Today on the blog Zach explains how another type of regression theory &...

3. Mar 14th, 2013

Analysing Rare Events: Season Goal Totals

Part two in our series from Zach Slaton explaining how to use simple-but-effective statistical concepts in order to provide a richer understanding of the data already at your fingertips. The first post in the series dealt with how linear regression prediction intervals can yield deeper insights. Today on the blog Zach explains how another type of regression theory – exponential regression – can be used to explain the frequency of single player goal totals. When dealing with data...

4. Jan 22nd, 2013

Moving Beyond The Linear Regression Line

In the coming months Zach Slaton will be writing about simple-yet-effective statistical concepts that can help provide us with a richer understanding of the data already at your fingertips. Today on the blog Zach discusses the concept of linear regression, and how moving beyond the basic linear regression line can yield deeper insights. Perhaps the most used-and-abused statistical analysis method is linear regression. It is a very useful statistical tool, but its ubiquity in software package...