Abstract
This study examines the Buys-Ballot estimates of quadratic trend component and seasonal indices and effect of incomplete data in descriptive time series analysis. This paper is to provide estimates of trend parameters and seasonal indices using Buys-Ballot table with incomplete observations. The methods adopted in this study are 1) Mean imputations 2) Regression imputation 3) Buys-Ballot table for time series decomposition. The methods are based on the row, column and overall means of time series data arranged in Buys-Ballot table with m rows and s columns. The model structure is additive.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Zenodo (CERN European Organization for Nuclear Research)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.