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Misconceptions about Latent Variable Models

JohnMacGregorGeorgeBoxMedalWhile giving courses over the years, I’ve noticed that certain misconceptions about latent variable models persist among statisticians and chemometricians. At the 14th annual ENBIS conference (European Network for Business & Industrial Statistics) in September, I have decided to discuss a number of these during my plenary George Box Medal presentation. Some of the key questions include:

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Would you rather do 321,000 experiments? Or 12?

you're invited to join the discussion on productivity in product developmentOne of the best-kept secrets at ProSensus is that we help clients improve their return on investment in product development. Our clients can:

•  Formulate new products in half the time (compared to traditional methods)
•  Achieve 20-40% reductions in raw material costs
•  Create new-to-world products that capture huge market share and high margins

In the past 3 years, I've worked on some very specific applications, like frozen muffin batters, next-generation automotive fluids, and smart polymers for eye injections.

Now I'd like to explore some general aspects and best practices of product development with you.

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