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Autor
Ceranka Bronisław (Poznan University of Life Sciences, Poland), Graczyk Małgorzata (Poznan University of Life Sciences, Poland)
Tytuł
On Certain A-Optimal Biased Spring Balance Weighing Designs
Źródło
Statistics in Transition, 2014, vol. 15, nr 2, s. 317-326, bibliogr. 8 poz.
Słowa kluczowe
Metody statystyczne, Estymacja
Statistical methods, Estimation
Uwagi
Materiały z konferencji Multivariate Statistical Analysis 2013, Łódź.
summ.
Abstrakt
In the paper, the estimation of unknown measurements of p objects in the experiment, according to the model of the spring balance weighing design, is discussed. The weighing design is called biased if the first column of the design matrix has elements equal to one only. The A-optimal design is a design in which the trace of the inverse of information matrix is minimal. The main result is the broadening of the class of experimental designs so that we are able to determine the regular A-optimal design. We give the lowest bound of the covariance matrix of errors and the conditions under which this lowest bound is attained. Moreover, we give new construction methods of theregular A-optimal spring balance weighing design based on the incidence matrices of the balanced incomplete block designs. The example is also given. (original abstract)
Dostępne w
Biblioteka Główna Uniwersytetu Ekonomicznego w Krakowie
Biblioteka SGH im. Profesora Andrzeja Grodka
Biblioteka Główna Uniwersytetu Ekonomicznego w Katowicach
Biblioteka Główna Uniwersytetu Ekonomicznego we Wrocławiu
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Bibliografia
Pokaż
  1. BANERJEE, K. S., (1975). Weighing Designs for Chemistry, Medicine, Economics, Operations Research, Statistics. Marcel Dekker Inc., New York.
  2. CERANKA, B., KATULSKA, K., (1990). Constructions of optimum biased spring balance weighing designs with diagonal covariance matrix of errors. Computational Statistics and Data Analysis 10, pp. 121-131.
  3. CERANKA, B., KATULSKA K., (1992). Optimum biased spring balance weighing designs with non-homogeneity of the variances of errors. Journal of Statistical Planning and Inference 30, pp. 185-193.
  4. GRACZYK, M., (2011). A-optimal biased spring balance weighing design. Kybernetika 47, pp. 893-901.
  5. KATULSKA, K., (1989). Optimum biased spring balance weighing designs. Statistics and Probability Letters 8, pp. 267-271.
  6. PUKELSHEIM, F., (1993). Optimal design of experiment. John Wiley and Sons. New York.
  7. RAGHAVARAO, D., (1971). Constructions and combinatorial problems in design of experiment. John Wiley and Sons. New York.
  8. RAGHAVARAO, D., PADGETT, L. V., (2005). Block Designs, Analysis, Combinatorics and Applications. Series of Applied Mathematics 17, Word Scientific Publishing Co. Pte. Ltd., Singapore.
Cytowane przez
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ISSN
1234-7655
Język
eng
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