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On the asymptotic normality of frequency polygons for strongly mixing spatial processes
Machkouri, Mohamed El - In: Statistical Inference for Stochastic Processes 16 (2013) 3, pp. 193-206
This paper establishes the asymptotic normality of frequency polygons in the context of stationary strongly mixing … conditions on the width bins and provides a simple criterion on the mixing coefficients. In particular, we improve in several …
Persistent link: https://www.econbiz.de/10010992896
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Nonparametric Spatial Prediction
Biau, Gérard; Cadre, Benoît - In: Statistical Inference for Stochastic Processes 7 (2004) 3, pp. 327-349
Persistent link: https://www.econbiz.de/10005616069
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Rates in the Empirical Central Limit Theorem for Stationary Weakly Dependent Random Fields
Doukhan, Paul; Lang, Gabriel - In: Statistical Inference for Stochastic Processes 5 (2002) 2, pp. 199-228
Persistent link: https://www.econbiz.de/10005169108
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Nonparametric Regression Estimation for Random Fields in a Fixed-Design
Machkouri, Mohamed - In: Statistical Inference for Stochastic Processes 10 (2007) 1, pp. 29-47
Persistent link: https://www.econbiz.de/10005184582