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ON NONPARAMETRIC INTERVAL ESTIMATION OF A REGRESSION FUNCTION BASED ON THE RESAMPLING ALEXANDER ANDRONOV Riga Technical University Riga, Latvia
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OUTLINE 1. Introduction 2. Averaging Method 3. Median Smoothing 4. Case Study References
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1. INTRODUCTION
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2. AVERAGING METHOD
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Lemma 1
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Lemma 2
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3. MEDIAN SMOOTHING
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4. Case Study
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Proofs of the Lemmas Proof of Lemma 1
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Proof of Lemma 2
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REFERENCES [1] Andronov A., Afanasyeva H. Resampling-based nonparametric statistical inferences about the distributions of order statistics. In: Transactions of XXIV International Seminar on Stability Problems for Stochastic Models, Transport and Telecommunication Institute, Riga, Latvia, 2004, pp. 300 – 307. [2] DiCiccoT.J., Efron B. Bootstrap confidence intervals. Statistical Sciences, Vol.11, No.3, 1996, pp. 189 – 228. [3] Hardle W., Muller M., Sperlich S., Werwatz A. Nonparametric and Semiparametric Models. Springer, Berlin, 2004. [4] Wu C.F.J. Jackknife, Bootstrap and other resampling methods in regression analysis. The Annals of Statistics, Vol. 14, No. 3, 1986, pp. 1261 – 1295.
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