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Estimación espectral de datos ambientales no equiespaciados vía el periodograma...
Analíti ak
8
Revista de Análisis Estadístico
Journal of Statistical Analysis
[14] D. HESLOP AND M. J. D EKKERS, Spectral analysis of
unevenly spaced climatic time series using CLEAN: signal
recovery and derivation of significance levels using a Mon-
te Carlo simulation, Phys. Earth Planet. Int., 130 (2002),
pp. 103–116.
[15] J. H. H ORNE and S. L. BALIUNAS, A prescription for pe-
riod analysis of unevenly sampled time series, Astrophys.
J., 302 (1986), pp. 757–763.
[16] G. M. J ENKINS and D. G. WATTS , Spectral analysis and
its applications, Holden-Day, Oakland, CA, (1969).
[17] N. R. L OMB, Least-squares frequency analysis of une-
qually spaced data, Astrop. Spa. Sc., 39 (1976), pp. 447–
462.
[18] F. L ÓPEZ-C APONT, La etapa pesquera del padre Sarmien-
to y su época: de los atúnes, y sus transmigraciones y con-
jeturas, sobre la decadencia de las almadrabas, y sobre los
medios para restituirlas., Caixa de Pontevedra, Ponteve-
dra, (1997).
[19] J. L ÓPEZ GONZÁLEZ and J. RUIZ , Series históricas de
capturas del atún rojo en las almadrabas del golfo de cádiz
(siglos xvi-xxi), Collect. Vol. Sci. Pap. ICCAT, 67 (2012),
pp. 139–174.
[20] M. E. M ANN and J. M. LEES, Robust estimation of back-
ground noise and signal detection in climatic time series,
Clim. Ch., 33 (1996), pp. 409–445.
[21] A. MATHIAS, F. GROND , R. GUARDANS, D. S EESE,
M. C ANELA, and H. DIEBNER, Algorithms for Spectral
Analysis of Irregularly Sampled Time Series, J. of Stat.
Soft., 11 (2004), pp. 1–27.
[22] M. M UDELSEE, TAUEST: A computer program for esti-
mating persistence in unevenly spaced weather/climate time
series., Computers & Geosciences, 28 (2002), pp. 69–72.
[23] , Climate Time Series Analysis: Classical Statistical
and Bootstrap Methods, Springer, (2010).
[24] M. M UDELSEE, D. S CHOLZ, R. R ÖTHLISBERGER,
D. FLEITMANN, A. M ANGINI and E. W. W OLFF, Cli-
mate spectrum estimation in the presence of timescale errors,
Nonl. Proc. in Geophys., 16 (2009), pp. 43–56.
[25] A. NAVA , Fourier spectral analysis for unevenly spa-
ced, average value, data, Computers & Geosciences, 36
(2010), pp. 853–860.
[26] A. N UTTALL, Some windows with very good sidelobe
behavior., IEEE Trans. on Acoust., Speech and Sig. Pro-
ces., 29 (1981), pp. 84–91.
[27] E. PARDO -I GÚZQUIZA and F. R ODRÍGUEZ-T OVAR,
Análisis espectral de series temporales de variables geológi-
cas con muestreo irregular., Boletín Geológico y Minero,
124 (2013), pp. 323–337.
[28] E. PARDO -IGUZQUIZA and F. J. R ODRÍGUEZ -TOVAR,
Implemented lomb-scargle periodogram: a valuable tool for
improving cyclostratigraphic research on unevenly sampled
deep-sea stratigraphic sequences., Geo-Marine Letters, 31
(2011), pp. 537–545.
[29] E. PARDO -IGÚZQUIZA and F. J. R ODRÍGUEZ -TOVAR,
Spectral and cross-spectral analysis of uneven time series
with the smoothed lomb–scargle periodogram and monte
carlo evaluation of statistical significance., Computers &
Geosciences, 49 (2012), pp. 207–216.
[30] D. B. PERCIVAL and A. T. WALDEN, Spectral analy-
sis for physical applications, Cambridge Univ Press, Lon-
don, (1993).
[31] J. POLANCO -M ARTÍNEZ, Aplicación de técnicas estadís-
ticas en el estudio de fenómenos ambientales y ecosistémi-
cos., PhD thesis, University of Basque Country, Espa-
ña., (2012).
[32] W. H. PRESS, S. A. T EUKOLSKY, W. T. VETTERLING
and B. P. F LANNERY, Numerical recipes in C, Cambridge
University Press, (1992).
[33] M. B. PRIESTLEY, Spectral analysis and time series., Aca-
demic Press Limited, London, (1981).
[34] R DEVELOPMENT C ORE T EAM, R: A Language and En-
vironment for Statistical Computing., R Foundation for
Statistical Computing, Vienna, Austria, (2009).
[35] D. H. ROBERTS, J. LEHAR , and J. W. DREHER, Times
series analysis with clean. I. derivation of a spectrum., The
Astron. J., 93 (1987), pp. 968–989.
[36] P. M. ROBINSON , Estimation of a time series model from
unequally spaced data., Stochastic Processes and their
applications, 6 (1977), pp. 9–24.
[37] E. SCANNELL J R and G. C. CARTER , Confidence bounds
for magnitude-squared coherence estimates., in Acous-
tics, Speech, and Signal Processing, IEEE Internatio-
nal Conference on ICASSP’78., vol. 3, IEEE, (1978),
pp. 670–673.
[38] J. D. SCARGLE, Studies in astronomical time series analy-
sis. II- Statistical aspects of spectral analysis of unevenly
spaced data., The Astrop. J., 263 (1982), pp. 835–853.
[39] , Studies in astronomical time series analysis. III-
Fourier transforms, autocorrelation functions, and cross-
correlation functions of unevenly spaced data., The Astrop.
J., 343 (1989), pp. 874–887.
[40] M. SCHULZ, On the 1470-year pacing of dansgaard-
oeschger warm events., Paleoceanography, 17 (2002),
pp. 4–1.
[41] M. SCHULZ AND M. M UDELSEE, Manual de referen-
cia REDFIT 3.5. Estimating red-noise spectra directly from
unevenly spaced paleoclimatic time series., (2001).
[42] , REDFIT: Estimating red-noise spectra directly from
unevenly spaced paleoclimatic time series., Computers &
Geosciences, 28 (2002), pp. 421–426.
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