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Introduction

  • Emanuel Parzen
Conference paper
Part of the Lecture Notes in Statistics book series (LNS, volume 25)

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.

Keywords

Time Series Time Series Analysis Stationary Time Series Observe Time Series Continuous Time Series 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1984

Authors and Affiliations

  • Emanuel Parzen
    • 1
  1. 1.Department of StatisticsTexas A&M UniversityCollege StationUSA

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