Table of Contents

Team Vision for Preliminary Detailed Design Phase
 Understand most of the current code, research
literature and focus of the project.
 Have a pseudo code of what we want/need to have.
 Meet with subject matter expert about suggestions and
risks.
Design and Flowcharts
Risk Assessment
Prototyping
1. Segment the countries into many markets (ideally: each
country is a market).
2. Create a 2^k Factorial Experiment, where k is the
number of markets and 2 represents whether a market still
has a budget or not.
3. Using the UNICEF data, extract a data set that
reflects the budget uncertainty of a market.
 This may require building a predictive model to
estimate a market's budget uncertainty.
4. Plot the data on a Cullen and Frey Graph to determine
what theoretical continuous statistical distributions the
data may come from.
 Example
6. Plot the fit and the data set together to graphically validate goodness of fit for each promising distribution.
 Example
 KolmogorovSmirnov statistic
 Cramervon Mises statistic
 AndersonDarling statistic
 Aikake's Information Criterion
 Bayesian Information Criterion
8. If a promising distribution has enough evidence to
suggest that the data set comes from that distribution,
then begin simulating ABP results by randomly sampling
from the promising distribution.
9. If a promising distribution fails to have enough
evidence, then fit an empirical distribution on the data
set and then begin simulating ABP results by randomly
sampling from the empirical distribution.
Plans for next phase
 Execute prototype design.
 Evaluate ABP results.
 Develop a Test Plan to test how well Engineering
Requirements are met.
 Determine how to improve the prototype design.
Home  Planning & Execution  Imagine RIT
Problem Definition  Systems Design  Preliminary Detailed Design  Detailed Design
Build & Test Prep  Subsystem Build & Test  Integrated System Build & Test  Integrated System Build & Test with Customer Demo  Customer Handoff & Final Project Documentation