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105 016 (0,202s)

Result

Simulation of simply cross correlated random fields by series expansion methods

components of a multivariate random field are proposed to be simulatedA practical framework for generating cross correlated random fields series expansion methods for simulation of a Gaussian random

JM - Inženýrské stavitelství

  • 2008
  • Jx
Result

Multivariate statistical methods: up-to-date state and modern trends

of a multivariate random sample.Brief overview of multivariate statistical methods is the content of the first part of the contribution. It is followed by main properties of the multivariate as a generalization of...

BB - Aplikovaná statistika, operační výzkum

  • 2004
  • D
Result

SLICED INVERSE REGRESSION AND INDEPENDENCE IN RANDOM MARKED SETS WITH COVARIATES

Dimension reduction of multivariate data was developed by Y. Guan for point processes with Gaussian random fields as covariates. The generalization to fibre and surface processes is straightforward. In inverse regression me...

BA - Obecná matematika

  • 2013
  • Jx
Result

Digital reprezentation of random parameters by cross correlated random fields

of a multivariate random field are proposed to be simulated via memory methods for simulation of a Gaussian random field. The proposed method requires all cross correlated fields over the domain ...

JM - Inženýrské stavitelství

  • 2009
  • D
Result

Composition in exponential families: Case of multivariate normal distribution

Main topics of the document: operator of composition; continuous random variable; exponential family; multivariate normal distribution......

Business and management

  • 2017
  • D
Result

Data analysis of multivariate time series of insect tracking

. In this paper, we study the effect of a temperature and transmitter's weight on a field cricket's movement. We recorded the movement of 180 field crickets with a 4K camera technique called F-transform. The resulting data have a ch...

Applied mathematics

  • 2018
  • D
  • Link
Result

On simulation of cross correlated random fields using series expansion methods

of a multivariate random field are proposed to be simulated via memory methods for simulation of a Gaussian random field. The proposed method requires all cross correlated fields over the domain ...

JM - Inženýrské stavitelství

  • 2009
  • D
Result

MULTIVARIATE STOCHASTIC DOMINANCE FOR MULTIVARIATE NORMAL DISTRIBUTION

Stochastic dominance is widely used in comparing two risks represented by random variables or random vectors. There are general approaches, based on knowledge. It is however not straightforward if these rules are also valid for ...

Statistics and probability

  • 2018
  • Jimp
  • Link
Result

General linear model

The chapter deals with both univariate and multivariate analysis of variance and analysis of covariance, and multivariate regression model. A normal distribution of the random component is assumed. Methods of the evaluation...

BB - Aplikovaná statistika, operační výzkum

  • 2015
  • C
Result

Multivariate Tail Coefficients: Properties and Estimation

Multivariate tail coefficients are an important tool when investigating dependencies between extreme events for different components of a random vector. Although for multivariate tail coefficients. This paper contributes to...

Statistics and probability

  • 2020
  • Jimp
  • Link
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