Datasets for Forecasting Methods (FIN 335)

Chapter 1 - Getting Started

R Markdown for this section

Chapter 2 - Time Series Graphics


Chapter 3 - The Forecasters Toolbox

Section 3.1

Section 3.2 - Adjustments and Transformations

Section 3.3 - Residual Diagnostics

Section 3.4 - Evaluating Forecast Accuracy

Section 3.5 - Prediction Intervals

 

Chapter 5 - Linear Regression

Chapter 6 - Time Series Decomposition

Chapter 7 - Exponential Smoothing


Chapter 8 - ARIMA Models

 

Final Project Example - Seasonal amd Non-seasonal

 

 

 

 

 

 

 

 

 

JMP Datasets from Montgomery et al.

B.1 - Market Yield on U.S. Treasury Securities at 10-Year Constant Maturity
B.2 - Pharmaceutical Product Sales
B.3 - Chemical Process Viscosity
B.4 - U.S. Production of Blue and Gorgonzola Cheeze
B.5 - U.S. Beverage Manufacturer Product Shipments, Unadjusted
B.6 - Global Mean Surface Temperature Anomoly and Global CO2 Concentration
B.7 - Whole Foods Market Stock Price, Daily Closing Adjusted for Splits
B.8 - Unemployment Rate - Full-Time Labor Force, Not Seasonally Adjusted
B.9 - International Sunspot Numbers
B.10 - United Kingdom Airline Miles Flown
B.11 - Champagne Sales
B.12 - Chemical Process Yield with Operating Temperature (uncontrolled)
B.13 - U.S. Production of Ice Cream and Frozen Yogurt
B.14 - Atmospheric CO2 Concentration at Mauna Loa Observatory
B.15 - U.S. National Violent Crime Rate
B.16 - U.S. Gross Domestic Product
B.17 - Total Annual U.S. Energy Consumption
B.18 - Annual U.S. Coal Production
B.19 - Arizona Drowning Rate, Children 1-4 Years Old
B.20 - U.S. Internal Revenue Tax Refunds

Additional JMP Datasets

U.S. Monthly Liquor Sales

NYSE Volume

Clothing Sales


Toothpaste Market Share

Soft Drink Concentrate Sales

Beverage Sales (forecast error)

Forecast Errors (pg 54)

Hospital Satisfaction Survey

Forecast Errors (Prob 2.34)

Ozone Days (Prob 3.1)

Steam Usage (Prob 3.2)

Advertising (Prob 3.3)