[
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 139: 16–22.
]Search in Google Scholar
[
Ceranka B., Graczyk M. (2014): Regular D-optimal spring balance weighing designs: construction, Acta Universitatis Lodziensis, Folia Oeconomica 302: 111-125.
]Search in Google Scholar
[
Ceranka B., Graczyk M. (2017): Highly D-efficient weighing design and its construction, Acta Universitatis Lodziensis, Folia Oeconomica 331: 143–151.
]Search in Google Scholar
[
Ceranka B., Graczyk M. (2018): Highly D-efficient weighing designs for an even number of objects, Revstat Statistical Journal 16(4): 475–486.
]Search in Google Scholar
[
Graczyk M., Ceranka B. (2023a): D-optimal chemical balance weighing designs with positively correlated errors: part I, Biometrical Letters 60(1): 53-63.
]Search in Google Scholar
[
Graczyk M., Ceranka B. (2023b): D-optimal chemical balance weighing designs with positively correlated errors: part II, Biometrical Letters 60(2): 177-186.
]Search in Google Scholar
[
Graczyk M. (2013): Some applications on weighing designs, Biometrical Letters 50: 15-26.
]Search in Google Scholar
[
Harville D.A. (1997): Matrix Algebra from Statistician’s Perspective. Springer-Verlag, New York Inc.
]Search in Google Scholar
[
Harwit M., Sloane N.J.A. (1979): Hadamard transform optics. New York, Academic Press.
]Search in Google Scholar
[
Katulska K. (1984): Zastosowanie teorii układów wagowych do badania upraw paszowych i w geodezji, Czternaste Colloquium Metodologiczne z Agro-Biometrii, PAN: 195-208.
]Search in Google Scholar
[
Sathe Y.S., Shenoy R.G. (1990): Construction method for some A- and D-optimal weighing designs when n=3(mod4), Journal of Statistical Planning and Inference 24: 369-375.
]Search in Google Scholar
[
Smaga Ł. (2014): Necessary and sufficient conditions in the problem of D-optimal weighing designs with autocorrelated errors, Statistics and Probability Letters 92: 12-16.
]Search in Google Scholar
