The ability to capture and analyze big data is recognized by many enterprises as an accelerator. It has enabled many enterprises to increase revenues by better understanding, more accurately target customers and […]
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
•Dear Mister President
•Handbook of Handguns
•Knights of the Cross: The True Story of the Knights Templar
What is Multivariate Analysis? Part I
In my next series of articles, I will demonstrate how to use the R statistical software to carry out some simple multivariate analyses, with a focus on principal components analysis (PCA) and […]
What is Time Series Analysis, Part II
In my last article I talked about Time Series Analysis using R and left with simple exponential smoothing. Here I want to talk about more advanced smoothing methods. Holt’s Exponential Smoothing If […]
What is Time Series Analysis? Part I
This article shows you how to use the R statistical software to carry out some simple analyses that are common in analyzing time series data. If the reader has some basic knowledge […]
How is Your Call Center?
What is the Problem? My customer frequently asks if this model or that model can be used to direct call center traffic. Usually the models are projecting an acquisition or engagement window […]
What is Operations Research?
Many people probably never heard the phrase “Operations Research” used. Operations Research (OR), or operational research in the U.K, is a discipline that deals with the application of advanced analytical methods to help make […]
Win, Lose or Draw…Is this a Game?
What economists call game theory psychologists call the theory of social situations, which is an accurate description of what game theory is about. Although game theory is relevant to parlor games such […]
Python plus R equals Data Scientist?
I have read a number of articles and posts that claim that if you had courses in linear algebra and multivariate calculus, and know R and Python, then you are a data […]
A dangerous game we play!
We, the scientists who perform predictive modeling, hold a crystal ball in our hands, making concise and accurate predictions based on quality data and scientific procedures. Or, do we? What are our […]
Here’s the thing…more advice for young analysts
I have been get a lot of very good questions from young analysts seeking to carve out their niche in our domain. Last year I wrote a short article with some advice […]