The first results on the prevalence of A/B testing across the economy and evidence that it is correlated with tail outcomes, with newer firms failing fast, and older firms scaling rapidly, from @orgRem, Sharique Hasan, and Aaron Chatterji https://t.co/mkJUNjUp34
Haha. Yes, getting left-digit bias (aka 99-cent pricing) wrong is a great example of behavioral firms. The pic I took below is one of my favorite examples.
One of the benefits of reading docs is learning how the code is meant to be read, e.g. param names!
SD = Subset of Data
From @arun_sriniv's "The #rdatatable package for fast, flexible and memory efficient data wrangling" https://t.co/yagUnpktAC #rstats
/* 🖍 mine */
Are you new to R and @rstudio? Check out this amazing analogy by one of our organisers, @JKRWard - linking the different windows to cooking
📜🥔🥦🥚🍳➡️🍲
#rstats#rladies#pastryRchy
🌳 @AchimZeileis & co use a random forest ensemble learner for probabilistic forecasts…
⚽️ "Hybrid Machine Learning Forecasts for the 2019 FIFA Women's World Cup" post: https://t.co/9MXKVegaoB #sportsanalytics#forecasting
working paper: https://t.co/ZLB3w4NohO
i interviewed a professional brand namer (!!!) who told me the following facts:
- companies are naming stuff based on how they sound on PODCASTS
- its BAD to be "the Kleenex of X"
- the japanese retail brand Rakuten means the C-WORD in norweigian https://t.co/KF3PA9W3BN
I think cover letters for manuscript submissions are more important than many people think.
Here’s how I approach mine, from my (limited) experience as an author and associate editor.
I've made this cheat sheet and I think it's important. Most stats 101 tests are simple linear models - including "non-parametric" tests. It's so simple we should only teach regression. Avoid confusing students with a zoo of named tests. https://t.co/9PFR1ly3lW 1/n