gravatar

bertmilla

Norberto E. Milla, Jr.

Recently Published

Introduction to R and JASP
Linear Regression Analysis with R
Day 1 Slides (R for Economics & Social Science Research)
Day 2 Slides (R for Economics & Social Science Research)
My Second Flexdashboard
My First Flexdashboard
Creating Slide Presentation Using Quarto
Success in Statistics: Position Yourself for the Future
Analysis of Experiments with Repeated Measures
Checking Assumptions of the Analysis of Variance using R
Statistical Tools and Methods for Data Analysis
Statistical Analysis of Experiments Using R and RStudio
Stat 142 SARIMA Models
Stat 142 ARIMA Models
Stat 136 Lesson 2.3 (Bayesian Inference for the Poisson Mean)
Stat 141 Analysis of Covariance
Stat 141 Split-Plot Experiments
Stat 141 Experiments with Nested Factors
Stat 141 Post hoc test for significant interaction
Stat 141 Factorial ANOVA Using R
Stat 141 Expected Mean Squares
Stat 141 Analysis of RBD Experiments Using R
Stat 141 Multiple Comparisons Using R
Data Visualization using ggplot2
Advance Quantitative Data Analysis Tools
Econ 115 Lesson 3.2 Binary Dependent Variable
Econ 115s Lesson 2.2 Multiple Linear Regression (Inference)
Econ 115s Lesson 3.1 (Qualitative Explanatory Variables in Regression Analysis)
Stat 142- Lesson 2.3 (Time series regression models)
Stat 136 Lesson 3.1- Bayesian Inference on the Normal Mean
Econ 115s Lesson 2.3 Further Topics in Linear Regression Analysis
Stat 142- Lesson 2.2 (Exponential Smoothing)
Econ 115s Lesson 2.3- Further Topics in Linear Regression Analysis
Stat 136 Lesson 2.3 (Bayesian Inference for the Poisson Mean)
Econ 115s- Lesson 2.1 (Multiple Linear Regression: Estimation)
Stat 142 Lesson 2.1 (Time Series Decomposition)
Stat 136 Lesson 2.2 (Bayesian inference for a proportion using continuous prior)
Stat 142 Lesson 1.3 (Overview of Forecasting Strategies)
Econ 115s Lesson 1.4 (Properties of OLS Estimators)
Econ 115s Lesson 1.3 (Incorporating Nonlinearities in the SLR Model)
Econ 115s Lesson 1.2 (The Simple Linear Regression Model)
Stat 136 Lesson 1.4 (Elements of Bayesian Models)
Stat 136 Lesson 2.1 (Bayesian inference for a proportion using discrete prior)
Stat 136- Lesson 1.3 (Odds and Bayes Factor)
Econ 115s Lesson 1.1 (Introduction to econometrics)
Stat 142 Lesson 1.2 (Components of a time series)
Stat 136 Lesson 1.2 (The Bayes Theorem)
Stat 136 Lesson 1.1 (Main Approaches to Statistics)