statistics

Common statistics and functions to work with financial time series.

Python Data Science is an open source project providing guidance on python (and selectively R, Julia) packages relevant for data science tasks

generate statistics for contributions to TinyWeatherForecastGermany for all collaborators and the weblate translators

Lecture material for the Bootcamp of Modeling for Master Neuronal and Cognitive Systems, Université Côte d'Azur, 2022.

Sample size calculation

Pedagogical materials of the ESSLLI 2024 course on Experimental methodology for computational linguistics

Cluster analysis of conformere ensembles

Utility functions to convert afex and emmeans table outputs into APA in-text format

A collection of Irucka Embry's miscellaneous functions (Engineering Economics, Civil & Environmental/Water Resources Engineering, Geometry, Statistics, GNU Octave length functions, Trigonometric functions in degrees, etc.).

Dieses Repository beinhaltet das Web-Based-Training eines Einführungskurses in R und die Implementation von Übungsaufgaben, die mittels CI überprüft werden.

This repo was created by PET-Camboriú, and is intended to store the sources of the program that parses the class diaries of IFC and generates statistics about it.

Creates statistics from Apache2 log files

Your results of the year in Telegram

LLAMI (Lion Launch Analytics Metrics Insights) is a tool for automatic collection, processing, and analysis of rocket launch data. This project provides accurate data and detailed analysis of launches for availability and use by the general public, space enthusiasts, and engineering students. This enables the creation of custom statistics, 3D models, and other educational and research projects.

Note: Our team is continuously improving and expanding the functionalities of LLAMI to offer even more tools and value to our sexy users.

Measure Correlations: package to extract clustering statistics (correlation function) from astrophysical and cosmological samples

Python resourcer til brug i undervisning ved NBI.

Se også https://cholmcc.gitlab.io/nbi-python/

Personal notes/codes of my studies about Statistics.

Supplementary material associated with the book: "Probabilistic Spiking Neuronal Nets -- Data, Models and Theorems" by Antonio Galves, Eva Löcherbach and Christophe Pouzat.