Estimation of Unknown Object Measures in a Chemical Weighing Design with Correlated Errors

Authors

  • Małgorzata Graczyk Poznań University of Life Sciences, Faculty of Agronomy and Bioengineering, Department of Mathematical and Statistical Methods, Poznań, Poland image/svg+xml
  • Bronisław Ceranka Poznań University of Life Sciences, Faculty of Agronomy and Bioengineering, Department of Mathematical and Statistical Methods, Poznań, Poland image/svg+xml https://orcid.org/0000-0002-5395-1593

DOI:

https://doi.org/10.18778/0208-6018.368.02

Keywords:

chemical balance weighing design, D-efficient design, D-optimal design

Abstract

In this paper, some problems that concern the determining of unknown measurements of objects in the model of a chemical balance weighing design are presented. These designs are tested under the assumption that measurement errors are correlated and have the same variances. The relations between the parameters of a weighing design are considered from the point of view of the D-optimality criterion. We give some conditions determining the dependencies between the parameters of such designs and construction examples.

Downloads

Download data is not yet available.

References

Banerjee K.S. (1975), Weighing Designs for Chemistry, Medicine, Economics, Operation Research, Statistics, Marcell Dekker Inc., New York.
Google Scholar

Bulutoglu D.A., Ryan K.J. (2009), D-optimal and near D-optimal 2k fractional factorial designs of Resolution V , “Journal of Statistical Planning and Inference”, Vol. 139, pp. 16–22.
Google Scholar DOI: https://doi.org/10.1016/j.jspi.2008.05.012

Ceranka B., Graczyk M. (2010), Some construction of optimum weighing designs, “Acta Universitatis Lodziensis. Folia Oeconomica”, Vol. 235, pp. 235–239.
Google Scholar

Ceranka B., Graczyk M. (2012), Notes on the optimum chemical balance weighing designs, “Acta Universitatis Lodziensis. Folia Oeconomica”, Vol. 269, pp. 91–101.
Google Scholar

Ceranka B., Graczyk M. (2019), Recent developments in D-optimal designs, “Communications in Statistics – Theory and Methods”, Vol. 48(6), pp. 1470–1480, https://doi.org/10.1080/03610926.2018.1433851
Google Scholar DOI: https://doi.org/10.1080/03610926.2018.1433851

Gail Z., Kiefer J. (1982), Construction methods for D-optimum weighing designs when n ≡ 3 mod 4, “The Annals of Statistics”, Vol. 10, pp. 502–510.
Google Scholar DOI: https://doi.org/10.1214/aos/1176345791

Gawande B.N., Patkar A.Y. (1999), Application of factorial design for optimization of Cyclodextrin Glycosyltransferase production from Klebsiella Pneumoniae AS–22, “Biotechnology and Bioengineering”, Vol. 64(2), pp. 168–173.
Google Scholar DOI: https://doi.org/10.1002/(SICI)1097-0290(19990720)64:2<168::AID-BIT5>3.3.CO;2-X

Graczyk M. (2013), Some applications on weighing designs, “Biometrical Letters”, Vol. 50(1), pp. 15–26.
Google Scholar DOI: https://doi.org/10.2478/bile-2013-0014

Harville D.A. (1997), Matrix Algebra from Statistician’s Perspective, Springer – Verlag, New York.
Google Scholar DOI: https://doi.org/10.1007/b98818

Katulska K., Smaga Ł. (2010), On some construction of D-optimal chemical balance weighing designs, “Colloquium Biometricum”, Vol. 40, pp. 37–45.
Google Scholar

Koukouvinos Ch. (1996), Linear models and D-optimal designs for n ≡ 2 mod 4, “Statistics and Probability Letters”, Vol. 26, pp. 329–332.
Google Scholar DOI: https://doi.org/10.1016/0167-7152(95)00028-3

Raghavarao D. (1971), Constructions and Combinatorial Problems in Designs of Experiments. John Wiley Inc., New York.
Google Scholar

Shah K.R., Sinh B.K. (1989), Theory of Optimal Designs, Springer-Verlag, Berlin.
Google Scholar DOI: https://doi.org/10.1007/978-1-4612-3662-7

Published

2024-09-23

How to Cite

Graczyk, M., & Ceranka, B. (2024). Estimation of Unknown Object Measures in a Chemical Weighing Design with Correlated Errors. Acta Universitatis Lodziensis. Folia Oeconomica, 36–45. https://doi.org/10.18778/0208-6018.368.02

Issue

Section

Articles

Most read articles by the same author(s)

1 2 > >> 

Similar Articles

1 2 3 4 5 6 7 > >> 

You may also start an advanced similarity search for this article.