Speaking Stata: In praise of trigonometric predictors
Nicholas J. Cox
Department of Geography
Durham University
Durham City, UK
[email protected]
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Abstract. Using sine and cosine terms as predictors in modeling periodic time series
and other kinds of periodic responses is a long-established technique, but
it is often overlooked in many courses or textbooks. Such trigonometric
regression is straightforward in Stata through applications of existing
commands. I give various examples using classic periodic datasets on the
motion of the asteroid Pallas and the daily rhythm of birth numbers. I make
a brief connection to polynomial-trigonometric regression.
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Nicholas J. Cox
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circular regression, Fourier regression, harmonic regression, periodic regression, polynomial-trigonometric regression, trigonometric regression, sine, cosine
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