Jeffrey Strickland, Ph.D., is the Author of “Predictive Analytics Using R” and a Senior Analytics Scientist with Clarity Solution Group. He has performed predictive modeling, simulation and analysis for the Department of Defense, NASA, the Missile Defense Agency, and the Financial and Insurance Industries for over 20 years. Jeff is a Certified Modeling and Simulation professional (CMSP) and an Associate Systems Engineering Professional. He has published nearly 200 blogs on LinkedIn, is also a frequently invited guest speaker and the author of 20 books including:
•Operations Research using Open-Source Tools
•Discrete Event simulation using ExtendSim
•Crime Analysis and Mapping
•Missile Flight Simulation
•Mathematical Modeling of Warfare and Combat Phenomenon
•Predictive Modeling and Analytics
•Using Math to Defeat the Enemy
•Verification and Validation for Modeling and Simulation
•Simulation Conceptual Modeling
•System Engineering Process and Practices
•Weird Scientist: the Creators of Quantum Physics
•Albert Einstein: No one expected me to lay a golden eggs
•The Men of Manhattan: the Creators of the Nuclear Era
•Fundamentals of Combat Modeling
•LinkedIn Memoirs
•Quantum Phaith
•Dear Mister President
•Handbook of Handguns
•Knights of the Cross: The True Story of the Knights Templar
What is Data Fitting? Introduction Fitting distributions consists of finding a mathematical function which represents a statistical variable. Data scientists and statisticians are often faced with this problem: they have some observations […]
Data Scientist, Analytic Scientist, Statistician, Operation Research Analyst, Predictive Modeler, … They are all very different… or are they? We often focus on differences to delineate our profession and what we can […]
As an analyst and modeler I have a variety of customers with a variety of problems in business. We usually frame their “question” as a business case. The question of course is […]
An event tree is an analytical diagram in the form of a directed path tree. Each node of the tree represents some event, which branches events from one single event using Boolean […]
The attack of September 11, 2001, showed that terrorism is capable of inflicting damages ($40 billion+) and loss of life (3,000+) that are multiples of the worst U.S. natural disasters (Hurricane Andrew […]
Several people have asked me for advice about education and training in Analytics and Data Science, so I wrote this article. For our purpose here, I include Analytics, Data Mining, and Data […]
#Simulation! Oh sure, there are pockets of analysts using simulation in #predictive #analytics and pockets of companies that use the results, but the use of simulation to predict behavior (e.g., propensity to […]
R is good for a lot of stuff. I have used it for cluster analysis, uplift modeling, logistic regression, and so on. I have also used SAS for the same things. For […]
In this article I compare Scilab with R for generating a histogram from data and fitting a curve to data using the least squares procedure. Using Scilab Consider an experiment where we’ve […]
Most everyone knows that using a propensity model to predict customers’ likelihood of buying, engaging, leaving and so on, produces a larger target audience. That is too bad, for what everyone knows […]
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