Seasonality analysis of time series in partial linear models

Q. Shao

Journal of Nonparametric Statistics, 2009, vol. 21, issue 7, 827-837

Abstract: Seasonality analysis is one of the classic topics in time series. This paper studies techniques for seasonality analysis when the trend function is unspecified. The asymptotic properties of the semiparametric estimators are derived, and an estimation algorithm is provided. The techniques are applied to making inference for the monthly global land–ocean temperature anomaly indexes.

Date: 2009
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DOI: 10.1080/10485250903108391

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