Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by Crossref.
Morettin, Pedro A.
1983.
A NOTE ON A CENTRAL LIMIT THEOREM FOR STATIONARY PROCESSES.
Journal of Time Series Analysis,
Vol. 4,
Issue. 1,
p.
49.
Stoffer, David S.
1985.
CENTRAL LIMIT THEOREMS FOR FINITE WALSH‐FOURIER TRANSFORMS OF WEAKLY STATIONARY TIME SERIES.
Journal of Time Series Analysis,
Vol. 6,
Issue. 4,
p.
261.
Stoffer, David S.
1987.
WALSH‐FOURIER ANALYSIS OF DISCRETE‐VALUED TIME SERIES.
Journal of Time Series Analysis,
Vol. 8,
Issue. 4,
p.
449.
Stoffer, D. S.
and
Panchalingam, T.
1987.
Time Series and Econometric Modelling.
p.
147.
Stoffer, David S.
Scher, Mark S.
Richardson, Gale A.
Day, Nancy L.
and
Coble, Patricia A.
1988.
A Walsh—Fourier Analysis of the Effects of Moderate Maternal Alcohol Consumption on Neonatal Sleep-State Cycling.
Journal of the American Statistical Association,
Vol. 83,
Issue. 404,
p.
954.
Texter, Pamela A.
and
Ord, J.Keith
1989.
Forecasting using automatic identification procedures: A comparative analysis.
International Journal of Forecasting,
Vol. 5,
Issue. 2,
p.
209.
Stoffer, David S.
1990.
MULTIVARIATE WALSH‐FOURIER ANALYSIS.
Journal of Time Series Analysis,
Vol. 11,
Issue. 1,
p.
57.
Stoffer, David S.
1991.
Walsh-Fourier Analysis and its Statistical Applications.
Journal of the American Statistical Association,
Vol. 86,
Issue. 414,
p.
461.
Ferryanto, S. G.
1995.
On estimation of the walsh-fourier spectral density of two dimensional strictly homogeneous random fields.
Journal of Nonparametric Statistics,
Vol. 5,
Issue. 4,
p.
391.
Sarlan, Haldun
2001.
Cyclical aspects of business cycle turning points.
International Journal of Forecasting,
Vol. 17,
Issue. 3,
p.
369.
Huang, Zhelin
and
Chan, Ngai Hang
2020.
Walsh Fourier Transform of Locally Stationary Time Series.
Journal of Time Series Analysis,
Vol. 41,
Issue. 2,
p.
312.
Brairi, Houssem
and
Medkour, Tarek
2020.
Testing discrete-valued time series for whiteness.
Journal of Statistical Planning and Inference,
Vol. 206,
Issue. ,
p.
43.