Evaluation of Air Pollutants Using Bootstrapping Extremes Models - Couverture souple

Barakat, Haroon; Nigm, El- Sayed; Khaled, Osama

 
9783659578168: Evaluation of Air Pollutants Using Bootstrapping Extremes Models
Couverture souple
ISBN 10 : 3659578169 ISBN 13 : 9783659578168
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

The main aim of this work is to apply Generalized Extreme Value distribution under Linear normalization (GEVL) and Generalized Pareto Distribution under Linear normalization (GPDL) to modeling air pollutant in El Sharkia governorate in Egypt. Also, to solve the problem of the choice peak over threshold in the case of GPDL and the validity of bootstrap method in the case of GEVL modeling. We suggest the sub-sample bootstrap method to convert any data to block data to use it for GEVL modeling. Moreover, we introduced the Generalized Pareto Distribution under Power normalization (GPDP), which enables us to suggest an efficient method for modeling extreme value under power normalization. We present statistical inference about the upper tail distribution for (GPDP). We also compare between the modeling under linear normalization and under power normalization. Finally, in the last chapter of this book the inconsistent and weak consistency of bootstrapping central and intermediate order statistics for an appropriate choice o re-sample size are investigated.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

The main aim of this work is to apply Generalized Extreme Value distribution under Linear normalization (GEVL) and Generalized Pareto Distribution under Linear normalization (GPDL) to modeling air pollutant in El Sharkia governorate in Egypt. Also, to solve the problem of the choice peak over threshold in the case of GPDL and the validity of bootstrap method in the case of GEVL modeling. We suggest the sub-sample bootstrap method to convert any data to block data to use it for GEVL modeling. Moreover, we introduced the Generalized Pareto Distribution under Power normalization (GPDP), which enables us to suggest an efficient method for modeling extreme value under power normalization. We present statistical inference about the upper tail distribution for (GPDP). We also compare between the modeling under linear normalization and under power normalization. Finally, in the last chapter of this book the inconsistent and weak consistency of bootstrapping central and intermediate order statistics for an appropriate choice o re-sample size are investigated.

Biographie de l'auteur

Prof. H. M. Barakat, received his Ph.D. in 1986-Math. Stat. Moscow state Univ. In 1989 he was awarded the Egyptian state prize in Math. In 2007, he was awarded distinction national state prize in basic science. In 2010 he was awarded appreciated Zagazig Univ. prize and in 2012, he was awarded the inter. Fiza Al-Kharafi prize in the field of Math.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2014
Langue
anglais
ISBN 10 
3659578169
ISBN 13 
9783659578168
Reliure
Broché
Nombre de pages
132
Coordonnées du fabricant
non disponible
Personne responsable
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