"Homogeneity of Variance Test" for the Comparison of Two or More Spectra
E. A. Maharaj,
N. Singh and
B. A. Inder
No 267772, Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics
Abstract:
Let [Zjt: j = 1, 2...k, t = 0 ±1 , ±2 , ...... .] be k independent stationary processes, with spectral density functions Szj(w), j = 1.2....k In many real wend situations there is a need to compare two or more spectra. Tests to compare spectra already exist in the literature In this paper we propose a test, based on Bartlett's modification of the likelihood ratio criterion, for comparing two or more spectra. Simulation studies show that for k=2 this test is comparable and in some cases better than existing test procedures. The performance of this test for k=3 is also assessed.
Keywords: Research; Methods/Statistical; Methods (search for similar items in EconPapers)
Pages: 39
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/267772/files/monash-208.pdf (application/pdf)
https://ageconsearch.umn.edu/record/267772/files/monash-208.pdf?subformat=pdfa (application/pdf)
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:ags:monebs:267772
DOI: 10.22004/ag.econ.267772
Access Statistics for this paper
More papers in Department of Econometrics and Business Statistics Working Papers from Monash University, Department of Econometrics and Business Statistics Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().