Abstract
The analysis of irregularly observed time series (or time series with missing data) is one of the most important problems faced by applied researchers whose data arise in the form of time series (or processes). The papers in this Proceedings provide a comprehensive review of the approaches that time series analysts are taking to infer the properties of a complete time series from irregularly observed values. The importance of this problem, and the recent advances which have been made towards its solution, stimulated us to organize a Symposium entitled “Time Series Analysis of Irregularly Observed Data” in February 1983 at Texas A&M University in College Station, Texas 77843. It was organized with financial support from the Statistics and Probability Program of the Office of Naval Research under the leadership of Dr. Edward J. Wegman.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1984 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Parzen, E. (1984). Introduction. In: Parzen, E. (eds) Time Series Analysis of Irregularly Observed Data. Lecture Notes in Statistics, vol 25. Springer, New York, NY. https://doi.org/10.1007/978-1-4684-9403-7_1
Download citation
DOI: https://doi.org/10.1007/978-1-4684-9403-7_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-96040-1
Online ISBN: 978-1-4684-9403-7
eBook Packages: Springer Book Archive