Missing Data Estimation And Modelling Via Probability Distributions: A Case Study Of Air Pollutant Data In Malaysia - Couverture souple

Mohamed Noor, Norazian; Abdullah, Mohd Mustafa Al Bakri

 
9783846586013: Missing Data Estimation And Modelling Via Probability Distributions: A Case Study Of Air Pollutant Data In Malaysia
Couverture souple
ISBN 10 : 3846586013 ISBN 13 : 9783846586013
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

This book provides simple applications of single imputation methods in replacing missing values and latermodel the dataset using common probability distributions i.e. Weibull, gamma, lognormal etc. The first chapter reviews the theory on missing data mechanism, single and multiple imputations and the types of software available to fill the missing data. Then, the assessment of few single imputation methods were described in chapter 2. The selections of the most appropriate method for the observations were also revealed. In the last chapter, the readers will be exposed on how to model the air pollutant data using probability distributions. The most fitted distributions were also selected after calculating the performance indicators and finally, the most fitted distribution will be used to estimate the return period for next year. Hopefully with this humble publication, the interest among the readers will be developed to explore this new chapter of research thus improving the quality of dataset for better analysis. Furthermore, the good quality data can be model for the future.

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

Présentation de l'éditeur

This book provides simple applications of single imputation methods in replacing missing values and latermodel the dataset using common probability distributions i.e. Weibull, gamma, lognormal etc. The first chapter reviews the theory on missing data mechanism, single and multiple imputations and the types of software available to fill the missing data. Then, the assessment of few single imputation methods were described in chapter 2. The selections of the most appropriate method for the observations were also revealed. In the last chapter, the readers will be exposed on how to model the air pollutant data using probability distributions. The most fitted distributions were also selected after calculating the performance indicators and finally, the most fitted distribution will be used to estimate the return period for next year. Hopefully with this humble publication, the interest among the readers will be developed to explore this new chapter of research thus improving the quality of dataset for better analysis. Furthermore, the good quality data can be model for the future.

Biographie de l'auteur

Norazian Mohamed Noor is currently a PhD student at Universiti Sains Malaysia (USM). She is actively doing research in air pollution modeling specializing in imputation techniques. Her achievements include 35 publication of proceeding conferences, journals and books.

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
2012
Langue
anglais
ISBN 10 
3846586013
ISBN 13 
9783846586013
Reliure
Broché
Nombre de pages
80
Coordonnées du fabricant
non disponible
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