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Please use this identifier to cite or link to this item: http://hdl.handle.net/10016/10340

Google™ Scholar. Others By: Guerrero, Víctor M. - Peña, Daniel
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Title: Linear combination of information in time series analysis
Author(s): Guerrero, Víctor M.
Peña, Daniel
Publisher: Universidad Carlos III de Madrid. Departamento de Estadística
Issued date: Nov-1995
URI: http://hdl.handle.net/10016/10340
Abstract: An important tool in time series analysis is that of combining information in an optimal manner. Here we establish a basic combining rule of linear estimators and exemplify its use with several different problems faced by a time series analyst. A compatibility test statistic is also provided as a companion of the combining rule. This statistic plays a fundamental role for obtaining sensible results from the combination and for pointing out sorne possibly new directions of analysis.
Serie / Nº.: UC3M Working papers. Statistics and Econometrics
95-52
Keywords: Compatibility testing
Disaggregation
Intervention analysis
Missing data
Outliers
Restricted forecasts
Appears in Collections:DES - Working Papers. Statistics and Econometrics. WS

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