Missing Data Estimation And Modelling Via Probability Distributions: A Case Study Of Air Pollutant Data In Malaysia - Brossura
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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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Missing Data Estimation And Modelling Via Probability Distributions
Editore:
LAP LAMBERT Academic Publishing Feb 2012, 2012
ISBN 10: 3846586013
ISBN 13: 9783846586013
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 80 pp. Englisch. Codice articolo 9783846586013
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Missing Data Estimation And Modelling Via Probability Distributions
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846586013
ISBN 13: 9783846586013
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Brossura
Da: moluna, Greven, Germania
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohamed Noor NorazianNorazian 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 pub. Codice articolo 5501407
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Missing Data Estimation And Modelling Via Probability Distributions
Editore:
LAP LAMBERT Academic Publishing Feb 2012, 2012
ISBN 10: 3846586013
ISBN 13: 9783846586013
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. Codice articolo 9783846586013
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Missing Data Estimation And Modelling Via Probability Distributions : A Case Study Of Air Pollutant Data In Malaysia
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846586013
ISBN 13: 9783846586013
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Da: AHA-BUCH GmbH, Einbeck, Germania
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783846586013
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Missing Data Estimation And Modelling Via Probability Distributions | A Case Study Of Air Pollutant Data In Malaysia
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846586013
ISBN 13: 9783846586013
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Da: preigu, Osnabrück, Germania
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Taschenbuch. Condizione: Neu. Missing Data Estimation And Modelling Via Probability Distributions | A Case Study Of Air Pollutant Data In Malaysia | Norazian Mohamed Noor (u. a.) | Taschenbuch | 80 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783846586013 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 106636916
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Missing Data Estimation And Modelling Via Probability Distributions: A Case Study Of Air Pollutant Data In Malaysia
Editore:
LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3846586013
ISBN 13: 9783846586013
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA75838465860136
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