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Graphical Techniques: By Problem Category (Engineering Statistics Handbook)

Graphical Techniques: By Problem Category (Engineering Statistics Handbook)

Created by Alan Heckert and James Filliben, this part of the National Institute of Standards and Technology (NIST) Engineering Statistics handbook describes different graphs and plots used in exploratory data analysis. More specifically, these graphs and plots consist of: univariate (y = c + e), time series (y = f(t) + e), one factor (y = f(x) + e), multi-factor/comparative (y = f(xp, x1, x2,...,xk) + e), multi-factor/screening (y = f(x1,x2,x3,...,xk) + e), regression (y = f(x1,x2,x3,...,xk) + e), interlab (y1,y2) = f(x) + e) and multivariate (y1,y2,...yp). Each section contains a sample plot, a definition, questions, related techniques, a case study and software. This is a great overview of a myriad of different graphical techniques.


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