A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)
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Updated
Jun 21, 2024 - Python
A Python Based Library to Calculate Statistical Estimators (Sn, Qn, MAD, IQR)
Implementation of Hampel filter in Python, including multiprocessor support, and interactive plotting with plotly and IPywidgets.
This repository provides a **tested and validated forensic model** designed to help researchers, economists, and technical auditors investigate national trade data for anomalies, tariff code misclassifications, and potential trade misinvoicing (under-invoicing / over-invoicing).
Server responsible for fetching and storing user game stats, while also comparing each user against the whole database to determine the probability that the player is cheating.
R package for fast, outlier-resistant estimation of location and scale. SIMD-accelerated Qn, Sn, MAD, IQR, GMD, M-estimators, and a variance-weighted ensemble with bootstrap CIs. 2–9× faster than robustbase.
Code of Kaggle Projects
Advance python Math Library which performs all the basic and scientific math operations such as cos, sin, tan etc. It also includes basic statistical functions such as mean, median, mode, standard deviation etc
Explicit MAD-based QC flagging and robust scaling for Python, AnnData, and scverse workflows.
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