Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
-
Updated
Aug 20, 2021 - Python
Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Company X has recently introduced a new type of bidding, average bidding, as an alternative to the current type of bidding called maximum bidding. One of our clients, bombabomba.com, decided to test this new feature and wants to do an A/B test to see if average bidding converts more than maximum bidding.
Анализ датасета по суицидам в Шаньдуне.
Shandong suicide dataset analysis
A Python-based utility for testing and visualizing data transformations. Includes normality tests (Shapiro-Wilk and Lilliefors), a variety of transformation methods, and visual analysis tools for histogram and Q-Q plots.
Estimation of the Shapiro-Wilk test using the Monte Carlo method.
Statistically analyzing the results of an A-B test
SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.
🧪 Test MCP servers with AI agents and LLM judges to ensure seamless natural language interactions and effective performance evaluation.
Add a description, image, and links to the shapiro-wilk topic page so that developers can more easily learn about it.
To associate your repository with the shapiro-wilk topic, visit your repo's landing page and select "manage topics."