A better product. An improved process. Stat-Ease, armed with an expertise in design of experiments, has been helping people make breakthroughs since 1985. Find out how our Design‑Expert software, training, books, and consulting can help you improve your bottom line.
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Design-Expert
Version 12
Design of Experiments Software
Make breakthrough improvements to a product or a process with Design-Expert, whether you are new to design of experiments or a pro. Its straightforward, easy-to-use interface sits on top of a powerful statistical engine. You will not only screen for vital factors, but also locate ideal process settings for top performance & discover optimal product formulations.
Experiment Design Made Easy
March 9-10*, Austin, TX
In this 2-day workshop, find out how to identify your critical quality characteristics using powerful design of experiments (DOE) techniques. Two-level factorial designs keep things simple for finding which factors and interactions you need to focus on.
*In a special collaboration with Camo Analytics, make it a full week of education and stay for the 3-day Multivariate Data Analysis - Level 1 workshop, March 11-13.
What's New
Backlist Case Study
How Design of Experiments Can Improve Formulation Development
This article from our backlist written by Jerry Fireman was published in the February 2018 CoatingsTech.
This article show how statistically-based design of experiments (DOE) provides validated models, including any significant interactions, that make it possible to confidently predict response measures as a function of the inputs.
An Awesome Week of Data Analytics!
Building from our successful 2019 Analytics Solutions Conference, Stat-Ease and Camo Analytics are once again partnering to bring you a full week of technical skills education!
Start with the 2-day Experiment Design Made Easy workshop on Mar. 9-10, focusing on factorial design of experiments (DOE). Follow this with the 3-day Multivariate Data Analysis – Level 1 workshop on Mar. 11-13, showcasing Principle Components Analysis (PCA) and Partial Least Squares (PLS)
DOE Made Easy with version 12 of Design-Expert® software (DX12)
**This webinar is hosted by our ally Camo Analytics, and is open to anyone looking to improve their understanding and use of design of experiments.**
Mark Anderson, Stat-Ease Consultant and lead author of the DOE/RSM/Formulation Simplified trilogy, will detail what design of experiments (DOE) can do for you when catalyzed with DX12’s world-class statistical tools.