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Estimating Spatial Autocorrelation with Sampled Network Data
NetworkDataAnalysis Paired Maximum Likelihood Estimator
2016/1/26
Spatial autocorrelation is a parameter of importance for network data analysis. To estimate spatial autocorrelation, maximum likelihood has been popularly used. However, its rigorous implementation re...
Assessing the significance of global and local correlations under spatial autocorrelation;a nonparametric approach
Geostatistics Monte-Carlo methods Resampling Spatial autocorrelation Spatial statistics Variogram
2015/8/21
In this paper we present a method to assess the significance of the correlation coefficient when at least one of the variables is spatially autocorrelated. The standard test assumes independence of th...
A Comparison of Methods for Computing Autocorrelation Time
Comparison Autocorrelation Time
2010/11/8
This paper describes four methods for estimating autocorrelation time and evaluates these methods with a test set of seven series. Fitting an autoregressive process appears to be the most accurate met...
Distances between time-series and their autocorrelation statistics
Distances time-series autocorrelation statistics
2010/4/26
This paper is dedicated to Giorgio Picci on the occasion of his sixty-fifth birthday
Summary. We begin with an interpretation of the L1-distance between two power
spectral densities and then, follow...