Results 181 to 190 of about 650,631 (219)
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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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Multivariate Data and Multivariate Analysis
2005Multivariate data arise when researchers record the values of several random variables on a number of subjects or objects or perhaps one of a variety of other things (we will use the general term “units”) in which they are interested, leading to a vector-valued or multidimensional observation for each.
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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.
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Multivariation and students’ multivariational reasoning
The Journal of Mathematical Behavior, 2022openaire +1 more source
Statistical Commentary: “Multivariable Versus Multivariate”
The American Journal of Geriatric Psychiatry, 2019openaire +2 more sources