Analyzing the Erlang Distribution
Exponential random variables and analyzing how their sum end up to be an Erlang distribution. Theoretical and simulations are covered in this project.
Mar 2018.
[code]
Exponential random variables and analyzing how their sum end up to be an Erlang distribution. Theoretical and simulations are covered in this project.
Mar 2018.
[code]
Analyzing the statistics of Bootstrapping methods.
The project understands the underlying statistics of bootstrapping method and its validity.
Mar 2018.
[code]
The project understands the underlying statistics of bootstrapping method and its validity.
Mar 2018.
[code]
Exploratory Data Analysis of BRFSS Census Data
Does exploratory data Analysis to extract insights about data..
Mar 2018.
[code]
Does exploratory data Analysis to extract insights about data..
Mar 2018.
[code]
Exploratory Data Analysis of BRFSS Census Data
Does exploratory data Analysis to extract insights about data..
Mar 2018.
[code]
Does exploratory data Analysis to extract insights about data..
Mar 2018.
[code]
Analysis of Uniform Random Variable and The central Limit Theorem
Uses Exploratory Data Analysis an simulations to analyze discrete Random Variables and prove the Central Limit Theorem.
Jan 2018.
[code]
Uses Exploratory Data Analysis an simulations to analyze discrete Random Variables and prove the Central Limit Theorem.
Jan 2018.
[code]
Analyze different Monte Carlo techniques
Determines the value of pi, euler's number using monte Carlo techniques. Also contains method to estimate the value of a definite Integral(Much faster algorithm than normal Integral algorithms).
Feb 2018.
[code]
Determines the value of pi, euler's number using monte Carlo techniques. Also contains method to estimate the value of a definite Integral(Much faster algorithm than normal Integral algorithms).
Feb 2018.
[code]
Analyze Derived distributions using Continuous uniform random variables
This project uses Central limit Theorem and Hypothesis Testing to predict the PDF and expected values of Derived distributions. It also contains theoretical derivations of the same PDF and expected values]. Finally we compare the theoretical and the simulated values to prove how the and why the Central Limit theorem works. For more information follow the links.
Mar 2018.
[code]
This project uses Central limit Theorem and Hypothesis Testing to predict the PDF and expected values of Derived distributions. It also contains theoretical derivations of the same PDF and expected values]. Finally we compare the theoretical and the simulated values to prove how the and why the Central Limit theorem works. For more information follow the links.
Mar 2018.
[code]