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  • Search: subject:"Fourier regression"
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Year of publication
Subject
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Fourier regression 3 Fourier regression models 2 L-optimal designs 2 equivalence theorem 2 estimating derivatives 2 locally optimal design 2 parameter subsets 2 polynomial regression 2 standardized minimax optimal design 2 circular regression 1 cosine 1 harmonic regression 1 periodic regression 1 polynomial-trigonometric regression 1 sine 1 trigonometric regression 1
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Online availability
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Free 5
Type of publication
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Book / Working Paper 4 Article 1
Type of publication (narrower categories)
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Working Paper 2
Language
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English 4 Undetermined 1
Author
All
Dette, Holger 4 Melas, Viatcheslav B. 4 Cox, Nicholas 1
Institution
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Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 2
Published in...
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Technical Report 2 Technical Reports / Institut für Wirtschafts- und Sozialstatistik, Universität Dortmund 2 Stata Journal 1
Source
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RePEc 3 EconStor 2
Showing 1 - 5 of 5
Cover Image
Optimal designs for estimating pairs of coefficients in Fourier regression models
Dette, Holger; Melas, Viatcheslav B. - 2008
In the common Fourier regression model we investigate the optimal design problem for estimating pairs of the …
Persistent link: https://www.econbiz.de/10010300665
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Optimal designs for estimating the slope of a regression
Dette, Holger; Melas, Viatcheslav B. - 2008
the regression functions form a Chebyshev system. For polynomial regression and Fourier regression models of arbitrary …
Persistent link: https://www.econbiz.de/10010300698
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Cover Image
Optimal designs for estimating pairs of coefficients in Fourier regression models
Dette, Holger; Melas, Viatcheslav B. - Institut für Wirtschafts- und Sozialstatistik, … - 2008
In the common Fourier regression model we investigate the optimal design problem for estimating pairs of the …
Persistent link: https://www.econbiz.de/10009216887
Saved in:
Cover Image
Optimal designs for estimating the slope of a regression
Dette, Holger; Melas, Viatcheslav B. - Institut für Wirtschafts- und Sozialstatistik, … - 2008
the regression functions form a Chebyshev system. For polynomial regression and Fourier regression models of arbitrary …
Persistent link: https://www.econbiz.de/10009219873
Saved in:
Cover Image
Speaking Stata: In praise of trigonometric predictors
Cox, Nicholas - In: Stata Journal 6 (2006) 4, pp. 561-579
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...
Persistent link: https://www.econbiz.de/10005583322
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