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Univariate and Bivariate Analysis

Comparison between classical univariate frequency analysis and bivariate analysis with copula

Comparison between classical univariate frequency analysis and bivariate analysis with copula

... et al.: Primerjava med klasičnimi univariatnimi verjetnostnimi analizami in bivariatnimi z uporabo funkcije kopula – Comparison between classical univariate frequency analysis and bivari[r] ...

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Univariate description and bivariate statistical inference: the first step delving into data

Univariate description and bivariate statistical inference: the first step delving into data

... multivariable analysis. The article first gives an overview of methods for bivariate analysis, and then provides a step-by- step tutorial on how to perform these analyses in ...

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Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis

Univariate and Bivariate Empirical Mode Decomposition for Postural Stability Analysis

... to identify the characteristics of different posture control systems in future studies. 5. CONCLUSION The EMD, complex-EMD, and bivariate-EMD methods are useful and powerful methods to analyze nonstationary uni- ...

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Bounds for resultants of univariate and bivariate polynomials

Bounds for resultants of univariate and bivariate polynomials

... the analysis of the zero location procedure [ 11 ] because it admits degree-deficient ...polynomial. Bivariate resultants occur in the corresponding two-dimensional stability test [ 12 ] because it follows ...

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Rational Univariate Representations of Bivariate Systems and Applications

Rational Univariate Representations of Bivariate Systems and Applications

... Proof. For every real solution α of I = hP, Qi, let J X,α × J Y,α be a box containing it. A sufficient condition for these boxes to be isolating is that the width of every interval J X,α and J Y,α is less than half the ...
Common Univariate and Bivariate Applications of the Chi-square Distribution

Common Univariate and Bivariate Applications of the Chi-square Distribution

... Misuses of the Pearson Chi-square Independence of Observations. The observations in a contingency table analyzed with the chi-square statistic are assumed to be independent of one another. If they are not, the chi-square ...

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Separating linear forms and Rational Univariate Representations of bivariate systems

Separating linear forms and Rational Univariate Representations of bivariate systems

... Lemma 34 thus yields a lower bound of 2 −ε with ε in e O(d 3 τ) on the separating bound of such a resultant. It is thus sufficient to compute, for every α, a box J X,α × J Y,α that contains α and such that the widths of ...

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Relations among univariate aging, bivariate aging and dependence for exchangeable lifetimes

Relations among univariate aging, bivariate aging and dependence for exchangeable lifetimes

... of bivariate aging that can be described in terms of properties of the level curves of % F: We analyze the relations existing among those notions of bivariate aging, univariate aging, and ...of ...

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Structure-Preserving Matrix Methods for Computations on

Univariate and Bivariate Bernstein Polynomials

Structure-Preserving Matrix Methods for Computations on Univariate and Bivariate Bernstein Polynomials

... in-depth analysis of the difficulties using floating point representations of curves and surfaces and the computation of points of smooth intersection between curves and ...

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Estimating genomic breeding values and detecting QTL using univariate and bivariate models

Estimating genomic breeding values and detecting QTL using univariate and bivariate models

... 8. Mucha S, Pszczo ł a M, Strabel T, Wolc A, Paczy ń ska P, Szydlowski M: Comparison of analyses of the QTLMAS XIV common dataset. II: QTL analysis. BMC Proceedings 2011, 5(Suppl 3). 9. Calus MPL, Meuwissen THE, ...

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On the moment characteristics for the univariate compound poisson and bivariate compound poisson processes with applications

On the moment characteristics for the univariate compound poisson and bivariate compound poisson processes with applications

... accident analysis (the number of accidents in a site before and after infrastructure changes), medical research (the number of seizures before and after treatment), sports (the number of goals scored by each one ...

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On the definiteness of univariate and bivariate two-side matrix polynomials over unitary complex numbers

On the definiteness of univariate and bivariate two-side matrix polynomials over unitary complex numbers

... of Univariate and Bivariate Two-Side Matrix Polynomials over Unitary Complex Numbers Graziano Chesi Abstract— Establishing whether a two-side matrix polyno- mial is definite over unitary complex numbers is ...

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Estimation and prediction methods for univariate and bivariate cyclic longitudinal data using a semiparametric stochastic mixed effects model

Estimation and prediction methods for univariate and bivariate cyclic longitudinal data using a semiparametric stochastic mixed effects model

... In Chapter 5 , we proposed a prediction procedure of either a single observation or of an entire cycle under the frequentist framework, which is not often done in the literature for longitudinal data. Under Bayesian ...

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CAS: Analysis of Bivariate Excess Losses

CAS: Analysis of Bivariate Excess Losses

... of bivariate excess losses, which has its origin in the reliability theory ...of bivariate excess losses can be computed through methods similar to the ones used in the univariate ...

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Time-frequency analysis of bivariate signals

Time-frequency analysis of bivariate signals

... the univariate case, ...signal analysis it leads to the definition of the analytic signal [21, 22], which is the first building block towards more sophisticated time-frequency analysis ...

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Statistical Models and Analysis of Univariate and Multivariate Degradation Data

Statistical Models and Analysis of Univariate and Multivariate Degradation Data

... Overall, unless one is certain about the parametric form of the underlying bivariate degradation process, the parametric approach based on MLEs and the semiparametric approach Semi2 are not recommended. When both ...

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A Univariate, Bivariate and Multivariate Extensions for the Inverse Rayleigh Model with Properties and Applications to the Univariate Version

A Univariate, Bivariate and Multivariate Extensions for the Inverse Rayleigh Model with Properties and Applications to the Univariate Version

... A new univariate extension of the Inverse Rayleigh distribution is proposed and studied. Some of its fundamental statistical properties such as some stochastic properties, ordinary and incomplete moments, moments ...

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Improved algorithms for solving bivariate systems via Rational Univariate Representations

Improved algorithms for solving bivariate systems via Rational Univariate Representations

... systems of two bivariate polynomials of total degree bounded by d with integer coefficients of.. 58.[r] ...

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The Contagion Effect Between the Volatilities of the NASDAQ-100 and the IT.CA :A Univariate and A Bivariate Switching Approach

The Contagion Effect Between the Volatilities of the NASDAQ-100 and the IT.CA :A Univariate and A Bivariate Switching Approach

... using univariate and bivariate SWARCH models and they show that volatility increased over time and that this increase coincide in those countries; they use daily stock market ...a bivariate extension ...

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survivalBIV : Estimation of the Bivariate Distribution Function for Sequentially Ordered Events Under Univariate Censoring

survivalBIV : Estimation of the Bivariate Distribution Function for Sequentially Ordered Events Under Univariate Censoring

... the bivariate distribution function for censored gap times, using survivalBIV a software application for ...the bivariate data ( de U˜ na- ´ Alvarez and Meira-Machado 2008 and de U˜ na- ´ Alvarez and Amorim ...

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