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100%: Natalia Markovich: Nonparametric Analysis of Univariate Heavy-Tailed Data (ISBN: 9780470723593) Wiley, Vereinigte Staaten von Amerika, in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
79%: Markovich, Natalia: Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice (Wiley Series in Probability and Statistics) (ISBN: 9780470510872) 2007, Erstausgabe, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
Nonparametric Analysis of Univariate Heavy-Tailed Data
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Bester Preis: € 114,99 (vom 06.06.2016)1
Nonparametric Analysis of Univariate Heavy-Tailed Data
EN NW EBISBN: 9780470510872 bzw. 0470510870, in Englisch, Wiley, neu, E-Book.
Lieferung aus: Vereinigte Staaten von Amerika, Ebook for download.
Mathematics, Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer’s condition, possible non-existence of some moments, and sparse observations in the tail of the distribution. The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function. Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements. eBook.
Mathematics, Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer’s condition, possible non-existence of some moments, and sparse observations in the tail of the distribution. The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function. Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements. eBook.
2
Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice (2007)
EN HC NW FEISBN: 9780470510872 bzw. 0470510870, in Englisch, 336 Seiten, Wiley-Interscience, gebundenes Buch, neu, Erstausgabe.
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Von Händler/Antiquariat, Amazon.com.
Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer’s condition, possible non-existence of some moments, and sparse observations in the tail of the distribution. The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function. Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements., Hardcover, Edition: 1, Label: Wiley-Interscience, Wiley-Interscience, Product group: Book, Published: 2007-12-03, Studio: Wiley-Interscience, Sales rank: 4886711.
Von Händler/Antiquariat, Amazon.com.
Heavy-tailed distributions are typical for phenomena in complex multi-component systems such as biometry, economics, ecological systems, sociology, web access statistics, internet traffic, biblio-metrics, finance and business. The analysis of such distributions requires special methods of estimation due to their specific features. These are not only the slow decay to zero of the tail, but also the violation of Cramer’s condition, possible non-existence of some moments, and sparse observations in the tail of the distribution. The book focuses on the methods of statistical analysis of heavy-tailed independent identically distributed random variables by empirical samples of moderate sizes. It provides a detailed survey of classical results and recent developments in the theory of nonparametric estimation of the probability density function, the tail index, the hazard rate and the renewal function. Both asymptotical results, for example convergence rates of the estimates, and results for the samples of moderate sizes supported by Monte-Carlo investigation, are considered. The text is illustrated by the application of the considered methodologies to real data of web traffic measurements., Hardcover, Edition: 1, Label: Wiley-Interscience, Wiley-Interscience, Product group: Book, Published: 2007-12-03, Studio: Wiley-Interscience, Sales rank: 4886711.
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Nonparametric Analysis of Univariate Heavy Tailed Data
EN NWISBN: 9780470510872 bzw. 0470510870, in Englisch, Wiley, United States of America, neu.
Lieferung aus: Vereinigtes Königreich Großbritannien und Nordirland, in-stock.
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Nonparametric Analysis of Univariate Heavy-Tailed Data (2007)
EN HC NWISBN: 9780470510872 bzw. 0470510870, in Englisch, Wiley-Blackwell, gebundenes Buch, neu.
Lieferung aus: Australien, Shipping costs to: MWI.
Von Händler/Antiquariat, Media Mall.
Wiley-Blackwell, 2007. Hardcover. New. SKU: MM-60122585; EAN: 9780470510872.
Von Händler/Antiquariat, Media Mall.
Wiley-Blackwell, 2007. Hardcover. New. SKU: MM-60122585; EAN: 9780470510872.
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Nonparametric Analysis of Univariate Heavy-Tailed Data
DE NW EBISBN: 9780470723593 bzw. 0470723599, in Deutsch, Wiley, Vereinigte Staaten von Amerika, neu, E-Book.
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Nonparametric Analysis of Univariate Heavy-Tailed Data: Research and Practice
EN HC NWISBN: 9780470510872 bzw. 0470510870, in Englisch, Wiley, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, In Stock.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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