Results 171 to 180 of about 406,470 (199)
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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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IFAC Proceedings Volumes, 1994
Abstract The structure of multivariable systems is examined and the derivation of multivariable models using experimental test procedures is explored. An example of a laboratory scale multivariable plant, a motor/alternator rig, is described and results are presented to illustrate how simple transfer function models can be derived from step response ...
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Abstract The structure of multivariable systems is examined and the derivation of multivariable models using experimental test procedures is explored. An example of a laboratory scale multivariable plant, a motor/alternator rig, is described and results are presented to illustrate how simple transfer function models can be derived from step response ...
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Multivariate Right-Censored Multivariate Data
2003Consider a time-dependent process X(t) = (X1 (t), X2(t)), where X k (t) includes as a component R k (t) = I(Tk ≤ t), k= 1, 2. Let the full data be \(X = ({{\bar{X}}_{1}}({{T}_{1}}),{{\bar{X}}_{2}}({{T}_{2}})) \sim {{F}_{X}} \in {{\mathcal{M}}^{F}}\), where \({{\bar{X}}_{k}}(t) = \{ {{X}_{k}}(s):s \in [0,t]\}\).
Mark J. van der Laan, James M. Robins
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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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Multivariate Polynomial Decomposition
Applicable Algebra in Engineering, Communication and Computing, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
von zur Gathen, Joachim +2 more
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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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Statistical Commentary: “Multivariable Versus Multivariate”
The American Journal of Geriatric Psychiatry, 2019openaire +2 more sources
Multivariable Hypergeometric Functions
2001The goal of this lecture is to present an overview of the modern developments around the theme of multivariable hypergeometric functions. The classical Gauss hypergeometric function shows up in the context of differential geometry, algebraic geometry, representation theory and mathematical physics.
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Multivariation and students’ multivariational reasoning
The Journal of Mathematical Behavior, 2022openaire +1 more source