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Detection of the change point in the winter wheat experiment

100%

Szczepańska A., Bakinowska E.

Biometrical Letters

2012

tom 49

nr 1

37-44

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.

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A Bayesian significance test of change for correlated observations

100%

Slama A.

Discussiones Mathematicae Probability and Statistics

2014

tom 34

nr 1-2

51-62

This paper presents a Bayesian significance test for a change in mean when observations are not independent. Using a noninformative prior, a unconditional test based on the highest posterior density credible set is determined. From a Gibbs sampler simulation study the effect of correlation on the performance of the Bayesian significance test derived under the assumption of no correlation is examined. This paper is a generalization of earlier studies by KIM (1991) to not independent observations.

Ograniczanie wyników

1 Biometrical Letters

1 Discussiones Mathematicae Probability and Statistics

1 Bakinowska E.

1 Slama A.

1 Szczepańska A.

1 2014

1 2012

Wyniki wyszukiwania

Detection of the change point in the winter wheat experiment

A Bayesian significance test of change for correlated observations