publication . Article . Other literature type . 1995

Analysis of Short Time Series: Correcting for Autocorrelation

Bence, James R.;
Open Access
  • Published: 01 Mar 1995 Journal: Ecology, volume 76, pages 628-639 (issn: 0012-9658, Copyright policy)
  • Publisher: Wiley
Abstract
Short time series are common in environmental and ecological studies. For sample sizes of 10 to 50, I examined the performance of methods for adjusting confidence intervals of the mean and parameters of a linear regression for autocorrelation. Similar analyses are common in econometric studies, and serious concerns have been raised about the adequacy of the common adjustment approaches, especially for estimating the slope of a linear regression when the explanatory variable has a time trend. Use of a bias-corrected estimate of the autocorrelation, either in an adjusted t test or in a two-stage approach, outperformed other methods, including maximum likelihood an...
Subjects
free text keywords: Ordinary least squares, Confidence interval, Estimator, Sample size determination, Ecology, Regression, Statistics, Autocorrelation, Linear regression, Bootstrapping (electronics), Biology
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Article . 1995
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http://dx.doi.org/10.2307/1941...
Other literature type . 1995
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publication . Article . Other literature type . 1995

Analysis of Short Time Series: Correcting for Autocorrelation

Bence, James R.;