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Technometrics Volume 20, 1978 - Issue 2
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Original Articles

Experimental Designs for Fitting Segmented Polynomial Regression Models

Sung H. Park Department of Computer Science and Statistics, Seoul National University, Seoul 151, Korea
Pages 151-154 | Published online: 09 Apr 2012

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Min-Jue Zhang, Rong-Xian Yue & Xue-Ping Chen. (2024) Locally D-optimal designs for spline measurement error models with estimated knots. Communications in Statistics - Theory and Methods 53:10, pages 3713-3727.
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R.L. Eubank. (1984) Approximate regression models and splines. Communications in Statistics - Theory and Methods 13:4, pages 433-484.
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EdwardJ. Wegman & IanW. Wright. (1983) Splines in Statistics. Journal of the American Statistical Association 78:382, pages 351-365.
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M. Brannigan. (1981) An adaptive piecewise polynomial curve fitting procedure for data analysis. Communications in Statistics - Theory and Methods 10:18, pages 1823-1848.
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PatriciaL. Smith. (1979) Splines as a Useful and Convenient Statistical Tool. The American Statistician 33:2, pages 57-62.
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Articles from other publishers (10)

Jiali Wang, Arūnas P. Verbyla, Bomin Jiang, Alexander B. Zwart, Cheng Soon Ong, Xavier R.R. Sirault & Klara L. Verbyla. (2020) Optimal design for adaptive smoothing splines. Journal of Statistical Planning and Inference 206, pages 263-277.
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Eline L. Korenromp, S. Guy Mahiané, Nico Nagelkerke, Melanie M. Taylor, Rebecca Williams, R. Matthew Chico, Carel Pretorius, Laith J. Abu-Raddad & Jane Rowley. (2018) Syphilis prevalence trends in adult women in 132 countries – estimations using the Spectrum Sexually Transmitted Infections model. Scientific Reports 8:1.
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Eline L. KorenrompCielo RíosAmparo Liliana Sabogal ApolinarSidia CaicedoDiego CuellarIván CárdenasRicardo Luque NuñezNorma Constanza CuéllarMartha RuízAdriana CruzHernando Gaitan-DuarteCarolina Duarte ValderramaMaría Isabel Bermúdez ForeroMelanie TaylorJane RowleyBertha GómezMónica Alonso. (2018) Prevalence and incidence estimates for syphilis, chlamydia, gonorrhea, and congenital syphilis in Colombia, 1995–2016. Revista Panamericana de Salud Pública 42.
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Chongqi Zhang & Heng Peng. (2012) -optimal designs for quadratic mixture canonical polynomials with spline. Statistics & Probability Letters 82:6, pages 1095-1101.
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Holger Dette & Viatcheslav B. Melas. (2010) A note on all-bias designs with applications in spline regression models. Journal of Statistical Planning and Inference 140:7, pages 2037-2045.
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George C.-Y. Chan & Gary M. Hieftje. (2010) Algorithm to determine matrix-effect crossover points for overcoming interferences in inductively coupled plasma-atomic emission spectrometry. Journal of Analytical Atomic Spectrometry 25:3, pages 282.
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D. Y. Li, Y. H. Peng & J. L. Yin. (2006) Optimization of metal-forming process via a hybrid intelligent optimization technique. Structural and Multidisciplinary Optimization 34:3, pages 229-241.
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D Stamatis. 2002. Six Sigma and Beyond. Six Sigma and Beyond 581 600 .
P. Hackl & A. H. Westlund. (1989) Statistical analysis of “structural change”: An annotated bibliography. Empirical Economics 14:2, pages 167-192.
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Patricia L. Smith. (2007) Hypothesis testing in b-spline regression. Communications in Statistics - Simulation and Computation 11:2, pages 143-157.
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