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Product Data Science Experimentation

daeus.blog · published 3 May 2025

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https://arxiv.org/abs/2105.14705
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https://blog.analytics-toolkit.com/2017/case-non-inferiority-designs-ab-testing/
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https://stats.oarc.ucla.edu/other/mult-pkg/faq/general/faq-what-are-the-differences-between-one-tailed-and-two-tailed-tests/
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https://www.youtube.com/watch?v=Rsc5znwR5FA
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https://towardsdatascience.com/how-to-analyse-a-b-experiments-using-bayesian-expected-loss-b959e21a77ce/
towardsdatascience.com
https://easystats.github.io/bayestestR/articles/region_of_practical_equivalence.html
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https://docs.growthbook.io/statistics/overview
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https://blog.statsig.com/embracing-overlapping-a-b-tests-and-the-danger-of-isolating-experiments-cb0a69e09d3
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https://www.optimizely.com/
optimizely.com
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launchdarkly.com
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https://www.microsoft.com/en-us/research/articles/deep-dive-into-variance-reduction/
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https://www.socscistatistics.com/tests/chisquare2/default2.aspx
socscistatistics.com
https://www.youtube.com/watch?v=misMgRRV3jQ
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https://askanydifference.com/difference-between-z-test-and-chi-square/
askanydifference.com
https://www.geeksforgeeks.org/one-way-anova/
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https://www.geteppo.com/blog/the-cult-of-stat-sig
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https://pmc.ncbi.nlm.nih.gov/articles/PMC6693672/
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https://pmc.ncbi.nlm.nih.gov/articles/PMC5506159/
pmc.ncbi.nlm.nih.gov
https://www.codingpaths.com/bayesian/partial_pooling_demonstration/
codingpaths.com
https://booking.ai/how-booking-com-increases-the-power-of-online-experiments-with-cuped-995d186fff1d
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https://github.com/daeusjorento/random_projects/blob/main/20241002_CUPED_experiment_adjustment_simulation.ipynb
github.com
https://en.wikipedia.org/wiki/Bayes%27_theorem
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https://medium.com/@aymathur/bayesian-analysis-is-it-better-than-an-a-b-test-1eb614e33745
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https://dl.acm.org/doi/abs/10.1145/3637528.3671631
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https://booking.ai/overtracking-and-trigger-analysis-how-to-reduce-sample-sizes-and-increase-the-sensitivity-of-71755bad0e5f
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https://artofmarketingscience.github.io/what-are-geo-experiments/
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