Feb 6, 2019 · In this paper, we provide theoretical analysis to show that heavy-users can contribute significantly to the bias, and propose a re-sampling ...
In this paper, we provide theoretical analysis to show that heavy-users can contribute significantly to the bias, and propose a re-sampling estimator for bias ...
ABSTRACT. On-line experimentation (also known as A/B testing) has become an integral part of software development. To timely incorporate user feedback and ...
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To address this issue, we propose to use a jackknife-resampling estimator. Simulated and real-life examples show that the jackknife estimator can reduce the ...
Nov 8, 2019 · In this paper, we provide theoretical analysis to show that heavy-users can contribute significantly to the bias, and propose a re-sampling ...
This repo contains the code for generating the simulation result in the paper On Heavy-user Bias in A/B Testing (CIKM'19).
Nov 22, 2023 · Here's why it matters: Good blinding can reduce or eliminate experimental biases that arise from a participants' expectations, observer's effect ...
Missing: Heavy- | Show results with:Heavy-
Apr 8, 2023 · AB testing plays a crucial role in the product development cycle and is used as an indicator of the future performance of new product ...
Jul 28, 2022 · In basic online experiments, often called A/B tests, users are randomly assigned to see either the current version 'A' (often called the control) ...
An Analysis Of Bias Or Why A/B Testing Fails - Issue 172
dataanalysis.substack.com › an-analysis-o...
Nov 15, 2023 · This study focuses on the interference effect, where a treatment applied to one group of users unintentionally impacts another group. This ...
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