Detection of the change point in the winter wheat experiment

• Autorzy: Anna Szczepańska , Ewa Bakinowska
• Języki publikacji: EN

Abstrakty

EN

This paper concerns detection of the change point, which is treated as an abrupt change in the response function or one of its derivatives. The change point is identified using the semiparametric model and the theory given by Speckman (1994). The theory is illustrated by a real experiment in wchich the dry biomass of winter wheat is studied.

Słowa kluczowe

EN

biomass of winter wheat; change point; kernel function; semiparametric model; smoother matrix

• Wydawca: De Gruyter Open
• Czasopismo: Biometrical Letters
• Rocznik: 2012
• Tom: 49
• Numer: 1
• Strony: 37-44

Daty

wydano

2012-06-01

online

2013-08-17

Twórcy

autor

Anna Szczepańska

• Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań,

autor

Ewa Bakinowska

• Department of Mathematical and Statistical Methods, Poznań University of Life Sciences, Wojska Polskiego 28, 60-637 Poznań

Bibliografia

• Dzieżyc J., Donev A.N. (1989): Water needs of crops. Collective work, (in Polish) PWN, Warszawa.
• Eubank R.L., Speckman P.L. (1994): Nonparametric estimation of functions with jump discontinuities. IMS Lecture Notes - Monograph Series vol. 23.
• Evans J., Wadrow J. (1976): Aspects of the comparative physiology of grain yielding cereals. Adv. Agron. 28: 301-358.[Crossref]
• Gijbels I., Goderniaux A.C. (2004): Bandwidth Selection for Changepoint Estimation in Nonparametric Regression. Technometrics 46(1): 76-86.[Crossref]
• Horvát I., Kokoszka P. (1997): Change-Point Detection With Nonparametric Regression. Technical Report University of Liverpool.
• Hárdle W., Müller M., Sperlic, S., Werwatz A. (2004): Nonparametric and Semiparametric Models. Springer.
• Kayri M., Zirhlioglu G. (2009): Kernel Smoothing Function and Choosing Bandwidth for Non-Parametric Regression Methods. Ozean Journal of Applied Sciences 2(1).
• Kleemola J. (1998): Modeling crop growth and biomass partitioning to shoots and roots in relation to nitrogen and water availability, using a maximization principle, II. European Journal of Agronomy 8(3-4): 191-204.[Crossref]
• Müller H.G., (1992): Change-Points in Nonparametric Regression Analysis. Ann. Statist. 20(2): 737-761.[Crossref]
• Przystalski M., Krajewski P. (2007): Constrained estimators of treatment parameters in semiparametric models. Statistics & Probability Letters 77: 914-919.[WoS][Crossref]
• Reiner L. (1992): Weizen aktuell. DLG-Verlag, Frankfurt am Main.
• Speckman P.L. (1994): Detection of change-point in nonparametric regression. unpublished manuscript.
• Spiertz J., Vos J. (1985): Grain growth of wheat and its limitation by carbohydrate and nitrogen supply, Wheat growth and modeling. Plenum Press, New York. 129-141.
• Trétowski J., Wójcik A.R. (1988): Methodology of agricultural experiments (in Polish). WSRP Siedlce.

Identyfikatory

DOI

10.2478/bile-2013-0002