Small, round blue-cell tumors (SRBCTs) belong to four distinct diagnostic categories. The categories have widely differing prognoses and treatment options, making it extremely
The Natural Gas Price model, Temperature model and Electricity Price hybrid model are jointly simulated to create market scenarios. Then, given a set of plant parameters and constraints a
Demonstrates fitting a non-linear regression tree model to hourly day-ahead electricity prices in the New England pool region. The log electricity prices are modeled with two additive
Demonstrates calibrating an Ornstein-Uhlenbeck mean reverting stochastic model from historical data of natural gas prices. The model is then used to simulate the spot prices into the
Goal - Produce a reliable med term forecasting model for Energy Demand
This demo is an example of performing data mining on historical fuel economy data. We have data from various cars built from year 2000 up to 2012.
Demonstrates fitting a non-linear temperature model to hourly dry bulb temperatures recorded in the New England region. The temperature series is modeled as a sum of two compoments, a
The aim of this demo is to characterize the "complete spectrum of interaction" between opiods and hypnotics, using propofol and remifentanil as drug class prototypes . 4 different
Demo file from August 7, 2007 webinar titled Data Analysis with Statistics Toolbox and Curve Fitting Toolbox. View the recorded webinar:
In this example, we look at our efforts to characterize a device under test. We have this "black box" that we need to better understand. We might just want to know some of it's characteristics,
This demo showcases visualization and analysis (heavy statistics) for forecasting energy usage based on historical data. We have access to hour-by-hour utility usage for the month of
Government intelligence agencies need to continually analyze thousands of images of enemy territory. They are always looking for change - for instance, has the enemy relocated any of its
This demo uses MATLAB, the Statistics Toolbox, the Curve Fitting Toolbox, and the Optimization Toolbox to improve the design of an engine cooling fan using Design for Six Sigma Techniques.
In the past decade the development of automatic techniques to estimate the intrinsic dimensionality of a given dataset has gained considerable attention due to its relevance in several