data relationships; correlation; inference with confidence; significance tests; network simulation and analysis; performance analysis of systems and networks. REQUIRED TEXT: Moore, McCabe & Craig, ...

data relationships; correlation; inference with confidence; significance tests; network simulation and analysis; performance analysis of systems and networks. REQUIRED TEXT: Moore, McCabe & Craig, ...

I taught an eight-hour short course "Functional Data Analysis Using R" at the International Chinese Statistical Association (ICSA) 2021 Applied Statistics Symposium on September 12, 2021. Introduction ...

apply basic R functions for twin-focused data analysis and visualization, and (4) translate the implementation of a basic ACE model between a structural equation model and an OpenMx model ...

My guess is that Python will eventually supersede R for most data manipulation analysis and tasks. The underlying Python language is modern ... This tutorial is not meant as an introduction to Python.

Several statistical methods have been proposed for modelling survival analysis data. We will describe the most important models and illustrate their application using example datasets described in ...

R is hot. Whether measured by more than 10,000 add-on packages, the 95,000+ members of LinkedIn’s R group or the more than 400 R Meetup groups currently in existence, there can be little doubt ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...