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Robust estimations from distribution structures: III. Non-asymptotic
pfevaluator: A library for evaluating performance metrics of Pareto fronts in multiple/many objective optimization problems
A MATLAB project which applies the central limit theorem on PDFs and CDFs of different probability distributions.
Learning Reliable Rules under Class Imbalance (SDM 2021)
Position prediction of invisible tree using EM algorithm of GMM. We used Python's Matplotlib data visualization and preprocessed to determine the fruit distribution. BIC and AIC indexes were used to determine the number of cluster categories, and Gaussian mixture model was used to cluster according to the fruit data to predict the coordinates of the number. We use poission distribution to predict the distribution of the whole forest.
Statistics library for Dart
Get an integer between a min and max, bring your own random number generator.
Visualization of Mass Redististribution and Tranport.
🔀 The standard algorithm for generating a uniformly chosen random permutation. Devised by Ronald Fisher and Frank Yates, modernized by Richard Durstenfeld and popularized by Donald E. Knuth. This version permits Sattolo cycles as well as seeded/keyed shuffles and unshuffles.
Fast Generation of Random Numbers by Sampling Properties of Particles at Equilibrium
Provide true random numbers based on the random-bit file generated by RANDOM.ORG
Go implementation of the Xoroshiro128++, Xoshiro256++, and Xoshiro512++ pseudo random number generators
Brief into about Central Limit Theorem (CLT) and Python code for finding mean of CLT and plotting using seaborn and matplotlib on normal, uniform, multi-nomial distribution.
Simple uniform deterministic 1D, 2D, 3D, 4D value noise
This is a MATLAB source code of the enhanced equidistribution, which guarantees that the generated random sequence follows the theoretical uniform distribution.
Any Random (Number , String , Password, Dice, Card, Gaussian Number, Uniform Number, Time, Date) Generator
Estatística, Modelos de Probabilidade Contínua, Modelos de Probabilidade Discreta, Distribuições de Probabilidade, Média de um dataset
A package for the most basic complex random sampling.
Enthält statistische Tests auf Gleichverteilung und Monte-Carlo-Simulationen um diese zu vergleichen.
Probability distribution simulator for Poisson distribution, exponential distribution and uniform distribution
Aplikasi Shiny untuk mendemonstrasikan Hukum Bilangan Besar.
Computer Intensive Stats - Project 01
Write a program (in your favorite language) to obtain N samples from each of the following distributions: (i) Bernoulli with μ = 0.5; (ii) Poisson with parameter λ = 5; and (iii) Uniform on [0, 10].
Normal Distributions,Uniform Distributions and Poisson Distribution with the help of Python Modules
[Python] Explored different Multiarmed Bandits algorithms to find the best election campaigns more effectively
Bernoulli Trials- Biased & Unbiased Coin Flips - Uniform Distribution