DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method

pyDCONTINPALS - A Python program for running the historical FORTRAN code CONTIN-PALS which solves Fredholm integral equations with convoluted exponential decays as kernels of the type that occur in the analysis of Positron Annihilation Lifetime Spectra (PALS).

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

DQuickLTFit - A least-square fitting tool for the analysis of positron lifetime spectra using the Levenberg-Marquardt algorithm

Statistics library for Dart

My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba

Statistical seismology and hypothesis testing of inter-earthquake time distributions and magnitudes

pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.

IM61011 - Stochastic Modelling course offered by the Industrial and Systems Engineering Department, IIT Kgp

Fast Generation of Random Numbers by Sampling Properties of Particles at Equilibrium

Simulates the operations of a theme park with randomly generated data from presumed probability distributions. Useful for analysis of customer behavior, ride usage, and overall park performance.

Statistic and Probability Course Term Project

Analysing the dataset from California DMV to find out leading causes of disengagements in AVs.

Code accompanying the paper "Human mortality at extreme age"

Repository with statistical functions via R

No description provided.

Probability distribution simulator for Poisson distribution, exponential distribution and uniform distribution

In this jupyter notebook, distribution functions like normal distribution, binomial and exponential distribution were made and there result was compared side by side with the scipy library.

This is a project I did in the Spring of 2017 for a graduate course in Statistical Computing. I was asked to find the descriptive statistics of 1000 simulations of a distribution, specifically to find the mean, median, midrange, and interquartile range of the simulations. I was asked to find these statistics for 1000 simulations of sample sizes of 10, 30, and 100. I was aslo asked to find each of these sample sizes for Normal, Uniform, and Exponential distributions.

Estatística, Modelos de Probabilidade Contínua, Modelos de Probabilidade Discreta, Distribuições de Probabilidade, Média de um dataset

No description provided.

DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting