منابع مشابه
Robustness of classical and optimal designs to missing observations
Missing observations are not uncommon in real-world experiments. Consequently, the robustness of an experimental design to one or more missing runs is an important characteristic of the design. Results of an evaluation of the robustness of classical and optimal designs to missing observations are presented, and optimal designs fare relatively well in terms of robustness compared to classical de...
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The binary and ternary codes spanned by the rows of the point by block incidence matrices of some 2-designs and their complementary and orthogonal designs are studied. A new method is also introduced to study optimal codes.
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1. Introduction Design of Experiments forms a fascinating branch of Statistics, which owes its origin to agricultural experiments. During 1930's to 1950's there have been major contributions from Fisher and his co-workers in the development of classical theory of design of experiments. Last five decades have witnessed a quantum jump in the development of this branch of Statistics. A careful gla...
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The Michaelis-Menten model has and continues to be one of the most widely used models in many diverse fields. In the biomedical sciences, the model continues to be ubiquitous in biochemistry, enzyme kinetics studies, nutrition science and in the pharmaceutical sciences. Despite its wide ranging applications across disciplines, design issues for this model are given short shrift. This paper focu...
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With an optimal design one wants to determine the ideal allocation of observations for the estimation of the unknown parameter vector θ of a given model ( ) ( ) θ ; i i x f y E = , with [ ] p T θ θ θ L 1 = , ( ) n T x x X ,..., 1 = , the xi from a given experimental region ER.. Let ( ) X V ; θ be the asymptotical variance-covariance matrix of the least squares estimatorθ̂ of θ . We consider the ...
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ژورنال
عنوان ژورنال: Linear Algebra and its Applications
سال: 2008
ISSN: 0024-3795
DOI: 10.1016/j.laa.2008.02.017