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Analysis of Empirical Bivariate Extremal Distributions
Journal of the American Statistical Association, 1964Abstract Two examples illustrate the use of bivariate extremal distributions of the first type. One is the distribution of oldest ages at death for the two sexes; the other consists of the floods of the same river recorded at two stations located upstream and downstream. The first is an illustration of independence; the second, of dependence.
E. J. Gumbel, Neil I. Goldstein
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Bivariate Time Series Analysis
2020The autoregressive analysis of stationary multivariate time series includes construction of a time domain model in the form of a multivariate stochastic difference equation and its transformation into a spectral matrix to study frequency domain properties.
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Bivariate Analysis of Concurrent Flooding
1987This study investigates the probability of concurrent flooding near and around the confluence of the Meramec ans Mississippi Rivers in Missouri. A new general approach called the “bivariate probability method” was developed as a result of this investigation.
S. J. Calise, C. D. Morris
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Bivariate analysis of floods in climate impact assessments
Science of The Total Environment, 2018Climate impact studies regarding floods usually focus on peak discharges and a bivariate assessment of peak discharges and hydrograph volumes is not commonly included. A joint consideration of peak discharges and hydrograph volumes, however, is crucial when assessing flood risks for current and future climate conditions.
Jan Seibert +3 more
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A Vehicle for Bivariate Data Analysis
Mathematics Teaching in the Middle School, 2016Top-selling cars in America can be the catalyst that drives an analysis of data.
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Bivariate EMD analysis for aircraft component inspection
2010 IEEE International Symposium on Industrial Electronics, 2010In recent years many alternative methodologies and techniques have been proposed to perform non-destructive inspection and maintenance operations of moving structures. In particular, ultrasonic techniques have shown to be very promising for automatic inspection systems.
M Leo, D Looney, T D'Orazio, D P Mandic
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Analysis of Bivariate Censored Low Flows
Journal of Hydraulic Engineering, 1996In this paper, a bivariate model is established to characterize the seven-day, two-year (Q 7,2 ) and seven-day, 10-year (Q 7,10 ) low flows of streams in West-Central Florida under the restriction of Q 7,10 ≤ Q 7,2 . Analysis of prediction errors showed that our model describes these stream low flows well.
Shiping Liu, Cernal Unal, Jye-Chyi Lu
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Bivariate Path Analysis of Plasma Lipids
Human Heredity, 1983Methods which allow for the analysis of the joint transmission of two phenotypes within a nuclear family are discussed and applied to the transmission of cholesterol and triglyceride. The analysis of data from 160 Caucasian nuclear families suggests a moderate degree of both genetic and residual environmental association between the two lipids ...
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The Analysis of Bivariate Data
1991The paired observation approach to the two-sample problem discussed in Chapter 12 assumes that either the data become available in natural pairs or that it is possible to arrange test subjects in pairs in such way that the two test subjects in a pair can be expected to perform very similarly. When pairing test subjects, a practical question arises: how
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Error analysis in interpolation by bivariate C1-splines
IMA Journal of Numerical Analysis, 1998In this paper, the authors consider spline interpolation on a so-called type-2 triangulation which is generated from a partition consisting of uniform rectangles by adding both diagonals in each rectangle. They describe choices of point sets in this triangulation that guarantee a uniquely determined Hermite spline interpolant which is \(C^1\) and of ...
Nürnberger, Günther, Walz, Guido
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