This paper derives some exact power properties of tests for spatial autocorrelation in the context of a linear regression model. In particular, we characterize the circumstances in which the power vanishes as the autocorrelation increases, thus extending the work of Krmer (2005, Journal of ...
The phenomenon of correlated errors in linear regression models involving time series data is called autocorrelation. Results to follow show that there is much to gain and little to lose by considering alternatives to the independent error assumption of the classical linear regression model. These ...
( 1987 ): “Spatial Autocorrelation among Errors and the Relative Efficiency of OLS in the Linear Regression Model”, Journal of the American Statistical Association 82 , 577–579. MathSciNetKr¨amer, W. and C. Donninger: 1987, `Spatial Autocorrelation Among Errors and the Rela- tive ...
In this chapter we deal with statistical inference in the linear model when it is not appropriate to assume that the random disturbances are uncorrelated. The phenomenon of correlated errors in linear regression models involving time series data is called autocorrelation. Results to follow show that ...
Autocorrelation 自相关作用
AutocorrelationIntheregressioncontext,theclassicallinearregressionmodelassumesthatthereisnocorrelationbetweendisturbanceterms.Symbolically:ji0)(),(..
To investigate the whitening performance resulting from the use of noise models in AFNI, FSL, and SPM, we plotted the power spectra of the general linear model (GLM) residuals. Figure 1 shows the power spectra averaged across all brain voxels and subjects for smoothing of 8 mm and assumed...
Correlation and Simple Linear Regression in JMP:相关和JMP简单线性回归 LINEAR REGRESSION WITH TIME SERIES DATA - …:时间序列数据的线性回归—… 单方程线性回归模型中自相关 实验报告 社会解组理论对侵财类犯罪的实证检验-基于线性回归、空间自相关与地理加权回归的分析模型 A New Regression Model Modal Linear ...
Code Issues Pull requests remotePARTS is a set of tools for running Partitioned spatio-temporal auto regression analyses on remotely-sensed data sets. big-data statistical-analysis autocorrelation remote-sensing-in-r Updated Sep 15, 2023 R oliver...
In this chapter we deal with statistical inference in the linear model when it is not appropriate to assume that the random disturbances are uncorrelated. The phenomenon of correlated errors in linear regression models involving time series data is called autocorrelation. Results to follow show that ...