Jellybeans and place value. Gold.
https://eduhacking.com/estimation-180/
#EduSky #JellyBeanMath #Estimation #EduHacking #TeacherHacks
Jellybeans and place value. Gold.
https://eduhacking.com/estimation-180/
#EduSky #JellyBeanMath #Estimation #EduHacking #TeacherHacks
'Manifold Fitting under Unbounded Noise', by Zhigang Yao, Yuqing Xia.
http://jmlr.org/papers/v26/21-0039.html
#manifold #smoothness #estimation
🚀 Estimation doesn't have to be a guessing game.
In our latest article, we break down how Astravue simplifies project estimation—making your planning more accurate and your projects more profitable.
📖 Read now to master project management the smart way.
🔗 https://zurl.co/aN7hl
#ProjectManagement #Astravue #Estimation #WorkSmart #TeamProductivity
#call4reading #highlycitedpaper 🤩🤩
✍️Faster Amplitude #Estimation #by Kouhei Nakaji
🔗10.26421/QIC20.13-14-2 (#arXiv:2003.02417)
Already heard some great talks at #pycon_austria2025 , but the best and most important (and also funny) one today for me was the talk by Ines Panker with the title: "Software estimation is a delusion or is it just a misused tool?"
This is a talk everyone needs to see who ever wondered why actual software development always need soooo much time. Unfortunately the talk was not recorded. But there is blog post covering the same topics here: https://www.ines-panker.com/2020/11/04/estimation-is-a-delusion.html
You will never be able to accurately estimate the time and effort it will take you to build a piece of software .. for as long as you keep doing new things. It is impossible to estimate the time needed to do something you aren’t familiar with it. If you haven’t done a thing before and you don’t have good statistics on how long these things usually take, what can you possibly base your estimate on? I know this is not the consensus among developers. Estimation is generally thought to be annoying, but doable. I’ve even met such devs that are very proud that they can estimate projects pretty accurately. But then you look at research and research paints a different picture. Research corroborates my personal experience, namely that developers are horrendous at estimating the required effort for software changed.
#statstab #315 What fraction of repeat experiments will have an effect size within the 95% confidence interval of the first experiment?
Thoughts: CV is a great place to learn. We see the same answer as Cumming: 83%
#replicability #confidenceintervals #replication #metascience #estimation #research #science
Let's stick to an ideal situation with random sampling, Gaussian populations, equal variances, no P-hacking, etc. Step 1. You run an experiment say comparing two sample means, and compute a 95%
#statstab #312 {presize} pkg: Understanding Precision-Based Sample Size Calculations
Thoughts: Do you care about effect sizes? Then precision-based planning is for you. Expect higher Ns!
#r #samplesize #precision #estimation #power #Confidenceintervals
https://library.virginia.edu/data/articles/understanding-precision-based-sample-size-calculations
Shared: The work is never just “the work” | Dave Stewart https://davestewart.co.uk/blog/the-work-is-never-just-the-work/.
> The key takeaway is that even a detailed estimate of “the work” can miss significant “invisible” work.
#estimation #software-development
#statstab #298 Replication: Do not trust your p-value, be it small or large
Thoughts: Even under exact replications, a p-values is not very good at predicting the p-value in a future study. p=.05 ~ 50% rep.