Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Smith, Walter L.
1958.
Renewal Theory and its Ramifications.
Journal of the Royal Statistical Society Series B: Statistical Methodology,
Vol. 20,
Issue. 2,
p.
243.
1960.
Report on the Conference on Limit Theorems of Probability Theory.
Theory of Probability & Its Applications,
Vol. 5,
Issue. 2,
p.
228.
Whittle, P.
1964.
On the Convergence to Normality of Quadratic Forms in Independent Variables.
Theory of Probability & Its Applications,
Vol. 9,
Issue. 1,
p.
103.
Thedéen, Torbjörn
1969.
On road traffic with free overtaking.
Journal of Applied Probability,
Vol. 6,
Issue. 3,
p.
524.
Thedéen, Torbjörn
1969.
On road traffic with free overtaking.
Journal of Applied Probability,
Vol. 6,
Issue. 3,
p.
524.
Ghosh, Malay
1974.
Probabilities of moderate deviations under m‐dependence.
Canadian Journal of Statistics,
Vol. 2,
Issue. 1-2,
p.
157.
Chen, Louis H. Y.
1978.
Two central limit problems for dependent random variables.
Zeitschrift f�r Wahrscheinlichkeitstheorie und Verwandte Gebiete,
Vol. 43,
Issue. 3,
p.
223.
Smith, Tony E.
1980.
A Central Limit Theorem for Spatial Samples.
Geographical Analysis,
Vol. 12,
Issue. 4,
p.
299.
Fahrmeir, Ludwig
1987.
Asymptotic likelihood inference for nonhomogeneous observations.
Statistische Hefte,
Vol. 28,
Issue. 1,
p.
81.
Jakubowski, Adam
1994.
On multidimensional domains of attraction for stationary sequences.
Statistics & Probability Letters,
Vol. 19,
Issue. 4,
p.
321.
Sun, Shan
1996.
Central Limit Theorem of the Perturbed Sample Quantile for a Sequence ofm-Dependent Nonstationary Random Process.
Theory of Probability & Its Applications,
Vol. 40,
Issue. 1,
p.
116.
Pazizin, S. V.
and
Ryazanov, B. V.
1999.
Asymptotic Normality of the Log-likelihood Ratio for a Class of m-dependent Random Variables.
Theory of Probability & Its Applications,
Vol. 43,
Issue. 3,
p.
422.
Romano, Joseph P.
and
Wolf, Michael
2000.
A more general central limit theorem for m-dependent random variables with unbounded m.
Statistics & Probability Letters,
Vol. 47,
Issue. 2,
p.
115.
Sunklodas, J.
2000.
Limit Theorems of Probability Theory.
p.
113.
Harrelson, D.
and
Houdré, C.
2003.
A characterization of $\boldsymbol{m}$-dependent stationary infinitely divisible sequences with applications to weak convergence.
The Annals of Probability,
Vol. 31,
Issue. 2,
Dagher, J.C.
Marcellin, M.W.
and
Neifeld, M.A.
2006.
A method for coordinating the distributed transmission of imagery.
IEEE Transactions on Image Processing,
Vol. 15,
Issue. 7,
p.
1705.
Yeste-Ojeda, Omar A.
and
Grajal, Jesus
2007.
Limitations of Spectral Correlation Based Detectors.
p.
244.
Ojeda, O. A. Y.
and
Grajal, J.
2012.
Sensitivity Analysis of Cyclostationarity-Based and Radiometric Detectors for Single-Sensor Receivers.
IEEE Transactions on Aerospace and Electronic Systems,
Vol. 48,
Issue. 1,
p.
27.
Anh, V. V.
Leonenko, N. N.
and
Ruiz-Medina, M. D.
2013.
Macroscaling Limit Theorems for Filtered Spatiotemporal Random Fields.
Stochastic Analysis and Applications,
Vol. 31,
Issue. 3,
p.
460.
Moon, Seongman
and
Velasco, Carlos
2013.
Tests for -dependence based on sample splitting methods.
Journal of Econometrics,
Vol. 173,
Issue. 2,
p.
143.