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Frontier estimation with kernel regression on high order moments

✍ Scribed by Girard, Stéphane; Guillou, Armelle; Stupfler, Gilles

Book ID
120315309
Publisher
Elsevier Science
Year
2013
Tongue
English
Weight
637 KB
Volume
116
Category
Article
ISSN
0047-259X

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✍ Ibrahim A. Ahmad 📂 Article 📅 2002 🏛 Elsevier Science 🌐 English ⚖ 97 KB

Let X 1 ; : : : ; X n be a random sample from a distribution function F. Let F n (x) = (1=n) n i=1 I (X i 6 x) denote the corresponding empirical distribution function. The empirical process is deÿned by In this note, upper bounds are found for E(D n ) and for E(e tDn ); where D n =sup x D n (x): A