DLTReconvolution - A Python based software for the analysis of lifetime spectra using the iterative least-square reconvolution method
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Updated
Jan 24, 2021 - Python
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
My works for EE 511 - Simulation Methods For Stochastic Systems - Spring 2018 - Graduate Coursework at USC - Dr. Osonde A. Osoba
DQuickLTFit - A least-square fitting tool for the analysis of positron lifetime spectra using the Levenberg-Marquardt algorithm
Statistics library for Dart
Statistical seismology and hypothesis testing of inter-earthquake time distributions and magnitudes
IM61011 - Stochastic Modelling course offered by the Industrial and Systems Engineering Department, IIT Kgp
pyTailFit - A simple Python program enabling tail-fitting for the analysis of lifetime spectra using least-square optimization.
Fast Generation of Random Numbers by Sampling Properties of Particles at Equilibrium
Code accompanying the paper "Human mortality at extreme age"
Analysing the dataset from California DMV to find out leading causes of disengagements in AVs.
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.
Probability distribution simulator for Poisson distribution, exponential distribution and uniform distribution
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 …
Estatística, Modelos de Probabilidade Contínua, Modelos de Probabilidade Discreta, Distribuições de Probabilidade, Média de um dataset
DsFeatFreqDist – Dataset Feature-Frequency Distributions Fitting
Repository with statistical functions via R
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