Top Tweets for #negativebinomial
#statstab #591 What is Incidence Rate Ratio?
Thoughts: A simple overview, but can be a starting point for IRRs in count models.
#irr #regression #stats #poisson #negativebinomial #effectsize
https://t.co/0rH4frqXCL
#statstab #576 Zero Truncated Negative Binomial Weighted Weibull Distribution and Its Application
Thoughts: Lots of cool work with new distributions for specific data/scenarios. Let's move beyond Normal.
#negativebinomial #weibull #distributions #MLE
https://t.co/hA1cEtn7wT
#statstab #430 Modelling Count Data in Psychological Research: An Applied Tutorial
Thoughts: A fairly comprehensive frequentist tutorial. Covers some edge cases, but doesn't explain them well.
#count #poisson #negativebinomial #IRR #tutorial #education
https://t.co/8JjkIoJdLK
Check out my log-linear model on Nigerian Traffic Crashes! 🚗📊 I also used a negative binomial model to correct for overdispersion. Dive into the details here: 🔗 https://t.co/jkX9vqlS5z #MachineLearning #DataScience #Kaggle #TrafficData #PoissonRegression #NegativeBinomial #AI
@Alex_Washburne @AmyDWillis @BetaScience oh yeah and my other tweet was not to suggest that guassian would be ok otherwise #negativebinomial
Swinging for the fences is the winning strategy for #thisweeksriddler from @xaqwg. Across 10 million simulated seasons, the Taters were the clear favorites. Coded in #python and made fast by #negativebinomial distributions from #scipy. My write-up here: https://t.co/8CkJy1mK9J
Congratulations to Prof. Akhilesh Kumar for their recently published article titled "Effects of #DriverSleepiness and #fatigue on violations among #TruckDrivers in #India" in International Journal of Injury Control and Safety Promotion.
#NegativeBinomial #FactorAnalysis
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