Trend tests in time series with missing values: A case study with imputation
MR Ramos, C Cordeiro - AIP Conference Proceedings, 2013 - pubs.aip.org
Testing for trend is an important problem, especially when one is dealing with environmental
time series. The tests considered here are the usual t-test and the Mann-Kendall test, a
nonparametric version widely used because it requires fewer assumptions. The aim is to
assess the performance of two trend tests in time series with autocorrelation after an
imputation method is applied to estimate the missing observations. The performance of the
trend tests will be illustrated for some well-known data sets existing in R software.
time series. The tests considered here are the usual t-test and the Mann-Kendall test, a
nonparametric version widely used because it requires fewer assumptions. The aim is to
assess the performance of two trend tests in time series with autocorrelation after an
imputation method is applied to estimate the missing observations. The performance of the
trend tests will be illustrated for some well-known data sets existing in R software.
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