@article{
    Bunn2013,
    author = "Bunn, Andrew G. and Jansma, Esther and Korpela, Mikko and Westfall, Robert D. and Baldwin, James",
    juforank = "1",
    doi = "10.1016/j.dendro.2013.01.004",
    responsibleauthor = "Korpela, Mikko",
    language = "eng",
    title = "Using simulations and data to evaluate mean sensitivity ($\zeta$) as a useful statistic in dendrochronology",
    url = "http://dx.doi.org/10.1016/j.dendro.2013.01.004",
    country = "Germany",
    journal = "Dendrochronologia",
    issn = "1125-7865",
    number = "3",
    abstract = "Mean sensitivity ($\zeta$) continues to be used in dendrochronology despite a literature that shows it to be of questionable value in describing the properties of a time series. We simulate first-order autoregressive models with known parameters and show that $\zeta$ is a function of variance and autocorrelation of a time series. We then use 500 random tree-ring data sets with unknown parameters and show that $\zeta$ is at best equivalent to the standard deviation of a time series in cases without high autocorrelation and is an inefficient estimator of the coefficient of variation. It is hard to justify the use of $\zeta$ as a useful, descriptive statistic in dendrochronology on theoretical or empirical grounds. It is better to make a thorough evaluation of the time series properties of a data set and we suggest various avenues for doing so including some that are maybe unfamiliar to most dendrochronologists including generalized autoregressive conditional heteroscedasticity (GARCH) models.",
    volume = "31",
    flags = "ALGODAN HIIT",
    il = "yes",
    year = "2013",
    keywords = "time-series model, autocorrelation",
    unitcode = "T306 - 99. T312 - 1",
    kay = "NA",
    impactfactor = "A1",
    pages = "250--254"
}