Recently Published
Introduction to Bayesian Statistics | Part 4: Prediction
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Introduction to Bayesian Statistics | Part 3: General Method for any Prior (ex. Using a Histogram Prior)
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Introduction to Bayesian Statistics | Part 2: Using a Beta Prior
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Introduction to Bayesian Statistics | Part 1: Introduction
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Gamma Positive Continuous Data | Part 3: Interpreting Multiple Coefficients
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Gamma Positive Continuous Data | Part 2: Transformation of Predictors
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Gamma Positive Continuous Data | Part 1: Intro, Mean-Variance Relationship
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Poisson Counts | Part 5: Confidence Intervals for Beta Coefficients and the Mean Response
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Poisson Counts | Part 4: Standard Errors, Hypothesis Tests for Beta Coefficients
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Poisson Counts | Part 3: Modeling Rates
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Poisson Counts | Part 2: Diagnostics for Outliers
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Poisson Counts | Part 1: Introduction
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Modeling Proportions with Binomial Distribution | Part 5: AIC/BIC, Case Study
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Modeling Proportions with Binomial Distribution | Part 4: Evaluating Model Fit with Residuals
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Modeling Proportions with Binomial Distribution | Part 3: Probit Link, Median Effective Dose
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Modeling Proportions with Binomial Distribution | Part 2: Interpretations of Beta Parameters for Logit Link Function
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Modeling Proportions with Binomial Distribution | Part 1: Fitting Logit Link Model
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Likelihood Estimation for Regression Parameters
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Reference Book: Generalized Linear Models with Examples in R
Binomial and Poisson Distributions
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Introducing Probability Distributions
Statistical Modeling II, Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Motivation for Generalized Linear Models
Statistical Modeling II
Fall 2024
Instructor: Professor Daniel Adrian
Grand Valley State University
Bootstrapping
Statistical Modeling and Regression class activity.
Multinomial Logistic Regression
Statistical Modeling and Regression class activity.
Logistic Regression
Statistical Modeling and Regression class activity.
Multiple Linear Regression
Statistical Modeling and Regression class activity.
Simple Linear Regression
Statistical Modeling and Regression class activity
Statistical Modeling and Regression (STA 631) Portfolio Project
This project is meant to demonstrate my understanding of the STA 631 course objectives
Fundamentals of Functions in R
Have a look at my STA 518 class activity for Fundamentals of Functions in R
Inference of Population Proportions & Categorical Variables
My STA 610 class activity for Inference of Population Proportions & Categorical Variables
Manipulating Dates with lubridate in R
My STA 518 class activity for Manipulating Dates with lubridate in R
Inference of population means
This is my STA 610 class activity for Inference of population means
Exploratory Data Analysis
This is my STA 610 Exploratory Data Analysis class activity
String Manipulation with stringr
This is my STA 518 class activity for String Manipulation with stringr.
Data Transformations & Manipulation with dplyr
My STA 518 class activity for data transformations & manipulation with dplyr.
Joining Data with dplyr
This is my STA 518 in-class activity for joining data with dplyr.
Intermediate ggplot2
This is my STA 518 class activity involving the exploration of various ggplot2 functions.
Introduction to ggplot2
This is my class activity from the STA 518 class.
Importing and Exporting Data with R
Exploring various read and write functions in R.
Introduction to R Markdown
This is a basic exploration of some of the reporting options in R Markdown.