Metric Evaluation

DataFunTalk

Jul 22, 2024 · Fundamentals

A/B Testing and Causal Inference: Evolution of Sampling, Metric Evaluation, and Statistical Inference

The article reviews the development of online A/B testing, covering sampling and traffic‑splitting techniques, metric computation improvements, statistical inference advances, and current challenges such as interference, real‑time inference, and large‑scale metric computation, while referencing recent research papers.

A/B testingMetric Evaluationcausal inference

0 likes · 10 min read

A/B Testing and Causal Inference: Evolution of Sampling, Metric Evaluation, and Statistical Inference

TAL Education Technology

Aug 12, 2021 · Fundamentals

Statistical Foundations and Practical Applications of A/B Testing

This article explains the statistical principles behind A/B testing, covering concepts such as populations, samples, parameters, hypothesis testing, significance levels, t‑tests, metric types, p‑value calculations, and real‑world examples to guide data‑driven product decisions.

A/B testingMetric Evaluationexperiment design

0 likes · 12 min read

Statistical Foundations and Practical Applications of A/B Testing

DataFunTalk

Feb 9, 2021 · Big Data

Design and Implementation of a Full‑Chain Marketing Data Product at NetEase Yanxuan

This article details NetEase Yanxuan's business background, market characteristics, data product requirements, and the end‑to‑end design of a full‑chain marketing data product, covering attribution, metric evaluation, analysis frameworks, scenario‑based recommendations, and practical Q&A for data‑driven growth.

AttributionMetric EvaluationPredictive Analysis

0 likes · 18 min read

Design and Implementation of a Full‑Chain Marketing Data Product at NetEase Yanxuan