EconPapers    
Economics at your fingertips  
 

Periodogram Analysis of Censored Time Series from a Designed Experiment

Roger P. Littlejohn and James R. Webster

Australian & New Zealand Journal of Statistics, 2002, vol. 44, issue 4, 447-455

Abstract: Growth hormone plasma concentrations vary rhythmically between high and low values. Radioimmunoassay measurements of low values are often indistinguishable from low controls, and are reported as a censored value, the ‘minimum detectable dose’. This paper reports such a dataset from a designed experiment with about 60% of the values censored but large distinct signals for the remainder of the data. The ordinates of the average periodogram for each treatment group are independently gamma distributed, with distribution depending on the underlying spectrum and the replication for that group. This situation can lead to an analysis for common spectral shape using a gamma generalized linear model with log link, and the hypothesis of common spectral shape is rejected here. Since such a level of censoring reduces the variance of each profile, the periodogram, which is a partition of the variance, is also reduced in overall magnitude. A simulation study shows that this reduction is not necessarily uniform over the frequency domain, but may be more pronounced at lower or higher ordinates depending on the underlying model. Therefore it is possible that the rejection of common spectral shape is an artefact of the censoring.

Date: 2002
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1111/1467-842X.00246

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bla:anzsta:v:44:y:2002:i:4:p:447-455

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1369-1473

Access Statistics for this article

Australian & New Zealand Journal of Statistics is currently edited by Chris J. Lloyd, Rob J. Hyndman and Russell B. Millar

More articles in Australian & New Zealand Journal of Statistics from Australian Statistical Publishing Association Inc.
Bibliographic data for series maintained by Wiley Content Delivery ().

 
Page updated 2025-03-19
Handle: RePEc:bla:anzsta:v:44:y:2002:i:4:p:447-455