Results 261 to 270 of about 739,378 (304)
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Controlled Clinical Trials, 1984
Linear multivariate theory is applied to \textit{A. Vølund}'s [ibid. 36, 225-236 (1980; Zbl 0436.62092)] multivariate bioassay problems resulting in more powerful tests of hypotheses, a simple ML estimator of relative potency, and a Fieller-like confidence interval.
Eugene M. Laska +3 more
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Linear multivariate theory is applied to \textit{A. Vølund}'s [ibid. 36, 225-236 (1980; Zbl 0436.62092)] multivariate bioassay problems resulting in more powerful tests of hypotheses, a simple ML estimator of relative potency, and a Fieller-like confidence interval.
Eugene M. Laska +3 more
openaire +1 more source
Journal of Chromatography A, 2007
The bases of multivariate calibration are presented with special attention to some points usually not considered or underevaluated, i.e., the sampling design, the number of samples necessary to obtain a reliable regression model, the effect of noisy predictors, the significance of the parameters used to evaluate the performance ability of the ...
FORINA, MICHELE +2 more
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The bases of multivariate calibration are presented with special attention to some points usually not considered or underevaluated, i.e., the sampling design, the number of samples necessary to obtain a reliable regression model, the effect of noisy predictors, the significance of the parameters used to evaluate the performance ability of the ...
FORINA, MICHELE +2 more
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Statistics in Medicine, 2003
AbstractMeta‐analysis is now a standard statistical tool for assessing the overall strength and interesting features of a relationship, on the basis of multiple independent studies. There is, however, recent acknowledgement of the fact that in many applications responses are rarely uniquely determined.
Nam, In-Sun +2 more
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AbstractMeta‐analysis is now a standard statistical tool for assessing the overall strength and interesting features of a relationship, on the basis of multiple independent studies. There is, however, recent acknowledgement of the fact that in many applications responses are rarely uniquely determined.
Nam, In-Sun +2 more
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Combining Multivariate Bioassays
Biometrics, 1986Linear multivariate theory is applied to the problem of combining several multivariate bioassays. Results are an asymptotic test of the hypothesis of a common log relative potency; the maximum likelihood estimator of the common log relative potency; and an exact and asymptotic confidence interval estimator for log relative potency.
Meisner, Morris +2 more
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Multivariate Polynomial Decomposition
Applicable Algebra in Engineering, Communication and Computing, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Joachim von zur Gathen +2 more
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WIREs Data Mining and Knowledge Discovery, 2011
AbstractBecause of recent advances in sensor technology and a rapid increase in storage capacities, a growing number of intensity values can be recorded and associated with pixel coordinates using new imaging technologies. This growth in dimension can be observed in different scientific areas and this new category of images is referred to as ...
Herold, Julia +2 more
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AbstractBecause of recent advances in sensor technology and a rapid increase in storage capacities, a growing number of intensity values can be recorded and associated with pixel coordinates using new imaging technologies. This growth in dimension can be observed in different scientific areas and this new category of images is referred to as ...
Herold, Julia +2 more
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Operations Research, 1986
In this paper, we consider models of systems whose components have dependent lifelengths and are imperfectly repaired upon failure until they are scrapped. First, assuming that no more than one component can fail at a time, we study two models that describe imperfect repairs, and derive the resulting density and other probabilistic quantities of ...
Moshe Shaked, J. George Shanthikumar
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In this paper, we consider models of systems whose components have dependent lifelengths and are imperfectly repaired upon failure until they are scrapped. First, assuming that no more than one component can fail at a time, we study two models that describe imperfect repairs, and derive the resulting density and other probabilistic quantities of ...
Moshe Shaked, J. George Shanthikumar
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2012
This paper reviews the main probabilistic results on multivariate extremes. Historically, this branch of probability focussed on the limiting distribution of the componentwise maximum of independent and identically distributed random vectors. A number of equivalent asymptotic characterizations are available and will be summarized.
BORTOT, PAOLA, C. Gaetan
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This paper reviews the main probabilistic results on multivariate extremes. Historically, this branch of probability focussed on the limiting distribution of the componentwise maximum of independent and identically distributed random vectors. A number of equivalent asymptotic characterizations are available and will be summarized.
BORTOT, PAOLA, C. Gaetan
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SYMMETRIC MULTIVARIATE WAVELETS
International Journal of Wavelets, Multiresolution and Information Processing, 2009For arbitrary matrix dilation M whose determinant is odd or equal to ±2, we describe all symmetric interpolatory masks generating dual compactly supported wavelet systems with vanishing moments up to arbitrary order n. For each such mask, we give explicit formulas for a dual refinable mask and for wavelet masks such that the corresponding wavelet ...
S. Karakaz'yan +2 more
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Econometrica, 1979
This paper develops a matrix-measure of multivariate risk aversion which is related to a notion of risk premium and states the restrictions that must be imposed upon the matrix-measures of two utility functions in order that one require a higher risk premium than another for every small multivariate risk.
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This paper develops a matrix-measure of multivariate risk aversion which is related to a notion of risk premium and states the restrictions that must be imposed upon the matrix-measures of two utility functions in order that one require a higher risk premium than another for every small multivariate risk.
openaire +1 more source