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The design and analysis of experiments.
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Journal ArticleDOI
A Commonly Occurring Incomplete Multiple Classification Model
TL;DR: In this paper, an incomplete classification model frequently occurring in biological experiments has been analyzed as far as linear estimable parametric functions and their estimates are concerned, and a basis for the space of estimable functions has been derived.
Journal ArticleDOI
A General Method of Constructing Layout with Single Factorial Effect Confounded in pn Factorial Experiments
Kamrul Hasan Khan,MA Jalil +1 more
TL;DR: A general method of constructing layout with single factorial effect confounded in p n factorial experiments is proposed in this article, where the design of confounding a single factor in a pn factorial experiment is constructed.
A ParametricStudyoftheStimulation VariablesAffectingtheMagnitudeof theOlfactoryNerve Response
Daniel B. Kurtz,David E. Hornung +1 more
TL;DR: Theredictiveability of[F,N] and [C,T ] was at least as good as good asthatofthe three-variable model, inranking thesereducedmodels interms of theirability to predict theneural response.
Statistical pooling of regions to assist the optimization of
TL;DR: In this article, the authors propose statistical pooling of regions of occurrence of a specific type of ore deposit on the basis of economic and/or geometriC parameters, which results in a single optimized function being applicable throughout the pool, either for detection purposes or for economic strategies, instead of the application of a different function to each component of the pool.
Book ChapterDOI
Mathematical information processing
TL;DR: By an information processing system the authors mean quite generally a system capable of receiving information, that is, signals having a well-defined structure, of transferring them, storing them, transforming them, and again delivering them.