The Advanced Theory of Statistics. Vol. 3.

Kendall, M. G.; Stuart, Alan

doi:10.2307/2528806

Cited by 446 publications

(438 citation statements)

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“…It is well known that in the situation of equidistant data and mean detrending, the estimator # r r has a bias of approximately @ð1 þ 3rÞ=ðn@1Þ (Kendall and Stuart, 1966). Numerical experiments with artificial time series suggest a similar bias for the analogous parameter in a situation of non-equidistance,…”

Section: Estimation Proceduresmentioning

confidence: 95%

TAUEST: a computer program for estimating persistence in unevenly spaced weather/climate time series

Mudelsee

2002

Computers & Geosciences

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Section: Estimation Proceduresmentioning

confidence: 95%

TAUEST: a computer program for estimating persistence in unevenly spaced weather/climate time series

Mudelsee

2002

Computers & Geosciences

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“…Les résultats des tests statistiques vérifiant le caractère aléatoire : corrélation sur le rang (KENDALL et STUART, 1977) …”

Section: -Résultatsunclassified

Modifications physiques du milieu et conséquences sur le comportement hydrologique des cours d'eau de la Sierra Madre Occidentale (Mexique)

Viramontes¹,

Descroix²

2005

rseau

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“…However, a twodimensional (2D) PDF is often sufficient for describing characteristics of the statistical relationship between random variables [9].…”

Section: Mathematical Models Of Correlated Non-gaussian Processes Usimentioning

confidence: 99%

Signal Detection in Correlated Non-Gaussian Noise Using Higher-Order Statistics

Palahina

Gamcová

Gladisova

et al. 2017

Circuits Syst Signal Process

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The authors of this paper study the synthesis of new models and methods for signal detection in additive correlated non-Gaussian noise. A new moment quality criterion decision making is proposed based on a random process description using moments and a formation of polynomial decision rules. Taking into account parameters of non-Gaussian distribution of random variables (such as the moments of third and higher orders and joint cumulants), it is shown that nonlinear processing of samples can increase the signal processing efficiency. A synthesis of effective methods and algorithms of data processing in non-Gaussian noise is also presented in this work.

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The Advanced Theory of Statistics. Vol. 3.

Cited by 446 publications

References 0 publications

TAUEST: a computer program for estimating persistence in unevenly spaced weather/climate time series

TAUEST: a computer program for estimating persistence in unevenly spaced weather/climate time series

Modifications physiques du milieu et conséquences sur le comportement hydrologique des cours d'eau de la Sierra Madre Occidentale (Mexique)

Signal Detection in Correlated Non-Gaussian Noise Using Higher-Order Statistics

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