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Dealing with Imputation Uncertainty
This post tackles a popular method that helps you understand the amount of variability you have introduced to your analysis through replacing missing data with estimated values.
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What to do with missing data?
In this post I’m going to describe some simple ways of dealing with missing data and discuss some of their strengths and flaws.
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Missing Data: Introducing the Missingness Mechanism
Often when we collect data, some is missing. What do we do? This post is going to cover an important question: what is causing the data to be missing?
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Algorithm Aversion
So, you’ve created a brilliant solution to an operational research problem. But — not everyone is using it. What’s going on? Read on to find out.
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Censored demand
Forecasting demand for retailers is a thorny problem. They need to estimate how much they are going to sell in order to decide how much stock to buy in.
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Why statistics?
This a personal post on what I think statistics is, why I was drawn to study it, and why it’s basically a super awesome cool subject everyone should know more about.
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Extreme value theory: predicting the ultra rare
Extreme value theory is a really exciting — and kind of astonishing — area of statistics. This is because it can tell us about the probability of events happening that are so rare…
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