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 …

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

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

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

Statistic and Probability Course Term Project

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

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

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

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

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

Code accompanying the paper "Human mortality at extreme age"

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

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

Statistics library for Dart

DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting

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).

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.