fractalbass
Miles Porter
Recently Published
Inventory Management Example
This document looks at the operations research perspective for inventory management. Inventory management is about knowing how much inventory to reorder and when.
Exponential Smoothing, Trending, Seasonality Index, and Error Metrics
An example of various techniques associated with Smoothing, Trending, Seasonality Index, and Error Metrics for time series data.
MM1 Queuing Examples
Example calculations regarding MM1 queuing systems.
Control Chart Calculations
A re-working of control chart lecture examples from MGMT-6203.
Police Involved Shootings Resulting in Death
An analysis of police-involved shootings resulting in death in the United States from 1/2/2015 to 6/8/2020. An analysis is done to show the disproportionate number of deaths by race accounting for population differences.
Another Reason to Not Convert Numerics to Factors!
Converting numeric values to factors in R can have unexpected statistical ramifications including masking outliers in the data.
Linear Regression and Converting Numeric Predictors to Factors
The purpose of this document is to compare what happens when a simple model with one numeric predictor is built using numeric vs factor types.
Autocorrelation in Time Series Regression
An exploration of time series regression and how to deal with autocorrelation in time series residuals.
The Datasaurus Dozen
Exploration of the Datasaurus Dozen dataset by Albert Cario.
Covid19 Timeseries
No analysis. Just data.
Variable Selection Techniques in R
An overview of different variable reduction techniques in R based on the Pollution dataset: “Instabilities of Regression Estimates Relating Air Pollution to Mortality,” Technometrics, 15, 463-481.
Regularization and Variable Selection
A notebook that illustrates various types of regularization techniques (Ridge, Lasso and Elasticnet), and also demonstrates the coefplot package for displaying interactive graphs.
Outliers, Shocks and Predictability
The COVID-19 pandemic is having a profound impact on people and societies around the globe. As a result of that impact, the data that we record is also being affected. This document attempts to look at various kinds of anomalous data, and also the impact of anomalies in specific instances of machine learning.
COVID-19
Analysis of COVID-19 infection data presented on Kaggle.com
Interpreting Coefficients in Logistic Regression
A simple exploration of the coefficients in logistic regression, and the derivation of how a single unit of change affects the output of a model holding all other predictors constant.
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Logistic Regression Interpreting Coefficients