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  Analysis of tidal data and datums: accessible examples of harmonic modeling with autocorrelation and imputation
 
 
Title: Analysis of tidal data and datums: accessible examples of harmonic modeling with autocorrelation and imputation
Author: Speed, F. Michael
Smith, William B.
Chen, Rong
Speed, F. Michael
Appeared in: Communications in statistics
Paging: Volume 28 (1999) nr. 12 pages 2947-2965
Year: 1999
Contents: Tidal data have been deemed to serve many important purposes, including establishing maritime boundaries, dredging sites, and navigation. Recently, even some building codes are dependent upon these data. We explore the efficacy of using harmonic analysis to model changes in water levels both in ocean and in protected sea environments. Typically, these data are correlated and have 'not-completely at random' missing observations. Our new analyses account for the presence of autocorrelation and missingness.
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 2 of 13 found articles
 
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