| Segment | Description | Who's On Air |
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Welcome |
The Monologue | |
| Featured Program |
In today’s episode of JMP On Air’s Meet the Author, Anne Milley interviews Robert Carver. In addition to a prolific author, Dr. Carver is a retired senior lecture at Stonehill College, Brandeis University, where he taught courses in quantitative methods, Big Data Analytics and various business courses. During this fascinating Q&A, Dr. Carver will share his thoughts on the ethical dimensions of Big Data and Machine Learning. He’ll also talk about his career using JMP, a relationship that began nearly 20 years ago, and why he loves teaching JMP to students, largely because of how easily and actively it engages them in the principles of statistics. Dr. Carver also talks about JMP’s free statistical course, Statistical Thinking for Industrial Problem Solving, and shares a bit about his various JMP books and his new white paper, JMP Takes the Struggle Out of Data Wrangling.
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@rcarver |
| Featured Program |
Parsimony and Accelerating Innovation “The more intelligent the question, you ask of Mother Nature, the more intelligent will be her reply.” Charles Scott Sherrington. According to JMP Systems Engineer Phil Kay, design of experiments (DOE) is the most intelligent way to ask your questions; DOE is also the focus of both his blog series and a six-episode series on JMP On Air. As he has throughout the series, Phil uses data from an example aimed at optimizing an analytical method to measure water containments. Given the eight settings or factors that can be set for the measurement device, there are more than 4,000 possible combinations. Testing each setting is simply unrealistic, but Phil shows us how using design of experiments you can run only 26 tests to find optimal settings. In this, the final installment of his series, Phil takes a deep dive into the concept of “parsimony” and shows us how we can understand which of all the possible effects are important for us to include our model, and how to accelerate our time to innovation with design of experiments.
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@Phil_Kay |
| Have You Tried |
In this episode of Have You Tried, Ryan DeWitt takes us on a quick tour of JMP Projects. JMP projects provide a single document interface to JMP, a tabbed, re-configurable workspace, a place to bookmark files and a window list that lets the user easily navigate various open windows, data tables, scripts and more; it also launches supporting files like .pdfs and .ppt documents. You can see JMP Projects in action, in this demonstration.
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@ryandewitt |
| Doctor DOE |
How Do I Repair a Broken Experimental Design? You’ve just started using Design of Experiments and, as a new to DOE practitioner, are following the advice to be as “bold” as you can with factor ranges. But, there’s a problem. You have made your ranges so wide that certain factor combinations cause the process to “break.” You are unable to measure a useful response value for some trials, and now your model won’t run! What now? What’s needed are sufficient new trials – subject to constraints that prevent them from “breaking” – be added to the existing good trials so that the mended design can fit the originally proposed model. In this session, Dr. DOE (AKA Tom Donnelly) will show how to perform this type of repair using the Augment Design with Constraints option in the DOE platform. Follow along with Dr. DOE as he shows you how do to this in JMP.
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@tom_donnelly |
| Featured Program |
Doing more with structural equation models is the focus of this talk with JMP Software Developer Eric Russo. In this session, Eric walks us through some of his favorite features in the Structural Equation Model Diagram Platform. Using a data set he’s been collecting during the recent quarantine, Eric shows the platform in action, analyzing factors contributing to his mental state over these many weeks working from home.
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@erruss |
| Closing | The Last 5 | @julian |