2005, Modeling and Predictive Modeling

Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

MARCH 7, 2021

When Measuremen CEO Vincent le Noble began the company in 2005, he wanted to help his clients make the best use of their workspaces. Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety.

Slice and Dice

Slice and Dice Data-driven Cost-Benefit Forecasting

Using random effects models in prediction problems

The Unofficial Google Data Science Blog

MARCH 31, 2016

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

Modeling

Modeling Statistics Advertising Testing

Data Leaders Brief

Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Using random effects models in prediction problems

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