Synopsis
This book will introduce an extension of the inverse power Lindley distribution using the Marshall–Olkin method, resulting in the Marshall–Olkin Extended Inverse Power Lindley (MOEIPL) distribution. The MOEIPL distribution offers a flexibility in representing data with various shapes. This flexibility is due to the addition of a tilt parameter to the inverse power Lindley distribution. Some properties of the MOEIPL are explored, such as its probability density function, cumulative distribution function, hazard rate, survival function, and quantiles. Estimation of the MOEIPL parameters was conducted using maximum likelihood method. The proposed distribution was applied to model the wind speed in Demak, Indonesia. The results illustrate the MOEIPL distribution and arre compared to Lindley, power Lindley, inverse Lindley, inverse power Lindley, gamma, and Weibull. Model comparison using the AIC shows that MOEIPL fits the data better than the other distributions.
"synopsis" may belong to another edition of this title.
Search results for Marshall-Olkin Extended Inverse Power Lindley Distribution
Seller Image
Marshall-Olkin Extended Inverse Power Lindley Distribution
Published by
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139945380
ISBN 13: 9786139945382
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book will introduce an extension of the inverse power Lindley distribution using the Marshall-Olkin method, resulting in the Marshall-Olkin Extended Inverse Power Lindley (MOEIPL) distribution. The MOEIPL distribution offers a flexibility in representing data with various shapes. This flexibility is due to the addition of a tilt parameter to the inverse power Lindley distribution. Some properties of the MOEIPL are explored, such as its probability density function, cumulative distribution function, hazard rate, survival function, and quantiles. Estimation of the MOEIPL parameters was conducted using maximum likelihood method. The proposed distribution was applied to model the wind speed in Demak, Indonesia. The results illustrate the MOEIPL distribution and arre compared to Lindley, power Lindley, inverse Lindley, inverse power Lindley, gamma, and Weibull. Model comparison using the AIC shows that MOEIPL fits the data better than the other distributions. 52 pp. Englisch. Seller Inventory # 9786139945382
Stock Image
Marshall-Olkin Extended Inverse Power Lindley Distribution
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139945380
ISBN 13: 9786139945382
New
Paperback
Seller: Revaluation Books, Exeter, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Brand New. 52 pages. 8.66x5.91x0.12 inches. In Stock. Seller Inventory # zk6139945380
Buy New
£ 54.71
£ 10 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
Marshall-Olkin Extended Inverse Power Lindley Distribution
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139945380
ISBN 13: 9786139945382
New
Softcover
Seller: moluna, Greven, Germany
Seller rating 4 out of 5 stars
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hibatullah RafifRafif Hibatullah was born on 1 March 1996 in Jakarta. Rafif began his tertiary education at University Indonesia and majored in mathematics in 2014 and graduated in 2018.This book will introduce an extension of th. Seller Inventory # 260575099
Buy New
£ 30.71
£ 42.65 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: Over 20 available
Seller Image
Marshall-Olkin Extended Inverse Power Lindley Distribution
Published by
LAP LAMBERT Academic Publishing Nov 2018, 2018
ISBN 10: 6139945380
ISBN 13: 9786139945382
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book will introduce an extension of the inverse power Lindley distribution using the Marshall-Olkin method, resulting in the Marshall-Olkin Extended Inverse Power Lindley (MOEIPL) distribution. The MOEIPL distribution offers a flexibility in representing data with various shapes. This flexibility is due to the addition of a tilt parameter to the inverse power Lindley distribution. Some properties of the MOEIPL are explored, such as its probability density function, cumulative distribution function, hazard rate, survival function, and quantiles. Estimation of the MOEIPL parameters was conducted using maximum likelihood method. The proposed distribution was applied to model the wind speed in Demak, Indonesia. The results illustrate the MOEIPL distribution and arre compared to Lindley, power Lindley, inverse Lindley, inverse power Lindley, gamma, and Weibull. Model comparison using the AIC shows that MOEIPL fits the data better than the other distributions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786139945382
Seller Image
Marshall-Olkin Extended Inverse Power Lindley Distribution
Published by
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6139945380
ISBN 13: 9786139945382
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book will introduce an extension of the inverse power Lindley distribution using the Marshall-Olkin method, resulting in the Marshall-Olkin Extended Inverse Power Lindley (MOEIPL) distribution. The MOEIPL distribution offers a flexibility in representing data with various shapes. This flexibility is due to the addition of a tilt parameter to the inverse power Lindley distribution. Some properties of the MOEIPL are explored, such as its probability density function, cumulative distribution function, hazard rate, survival function, and quantiles. Estimation of the MOEIPL parameters was conducted using maximum likelihood method. The proposed distribution was applied to model the wind speed in Demak, Indonesia. The results illustrate the MOEIPL distribution and arre compared to Lindley, power Lindley, inverse Lindley, inverse power Lindley, gamma, and Weibull. Model comparison using the AIC shows that MOEIPL fits the data better than the other distributions. Seller Inventory # 9786139945382