I am a senior research statistician developer working on enhancing the Design of Experiments (DOE) platforms in JMP. I received my PhD in statistics from Simon Fraser University with a focus on DOE. I am constantly trying to bring my work home with me by looking for ways to apply DOE to my everyday life (some examples can be found in my previous posts below). In my spare time I collect vintage diecast vehicles and other toys from my childhood, where the collection size is restricted mainly by my ability to sneak them into the house without my wife noticing.
Whenever I’m getting ready to go to or from work, I always have a notion that if I leave by a certain time, my drive will be smoother due to less traffic. Of course, even if I leave at the same time every day, my drive time is still going
In my last blog entry, I looked at 10 different items from the Lilly Pulitzer for Target collection and how close their realized price is to buying directly from the Lilly Pulitzer website. My wife pointed out the lack of XXL size items available from Lilly Pulitzer, so a natural
Readers in the US may have seen ads for the Lilly Pulitzer collection at Target. On Sunday, April 19, this collection launched with many Target stores having queues that resembled those for Black Friday sales. Most products sold out within a few minutes of the store openings. Online was no
In my previous post, I described an experiment that my wife and I conducted to find a method for making delicious iced tea with juice. The factors we looked at were these: Tea type: black tea or oolong Steep method: hot water vs. cold water Steep time: short (5 minutes
My wife is a huge fan of tea – to the extent that our kitchen has two shelves dedicated to it. For a recent family gathering, she wanted to clear out some tea by making a large batch of iced tea (i.e., to allow more room in the cupboard to buy
In my previous blog entry, I discussed the discrepancy between WordPress and Google Analytics view counts. Today, I'd like to look more closely at what the data may be telling us. If I think about modeling the number of WordPress views that show up on a blog entry, I would think
In a previous blog post, I looked at how the top 10 JMP blog posts from 2011 held up over time and hinted toward the discrepancy between WordPress counts and Google Analytics. While I didn’t have historic WordPress counts for those blog posts, it's much easier for the posts released in 2014
When my wife and I moved into our house, one of my first tasks was to swap the old light switches with new ones in frequently used rooms. Once I figured out how it was done, it seemed simple enough: Go to the circuit box, switch the circuit breaker off
As I approach the one-year anniversary of my first post for this blog, I’ve grown interested in how the popular JMP Blog posts from the past have done in the years that follow. In other words, do the popular posts continue to be popular? A good starting point for an
In my recent blog entry discussing the results of my adventures with hard-boiled eggs, one reader had asked how I created the figures with the confidence intervals for the parameter estimates from Fit Model. I typically use Graph Builder whenever I can for visualization, and the graph below with the parameter