Opis
This book delves into the fascinating field of extreme value theory, a critical branch of statistics that focuses on understanding rare events and their implications. Authored by Mohammad Ahsanullah and S. N. U. A. Kirmani, it caters to readers interested in the mathematical underpinnings and practical applications of extreme value analysis. Through a comprehensive approach, the authors explore various statistical methodologies for assessing extreme values, providing insights into risk assessment and management across different fields.
Ahsanullah and Kirmani combine theoretical discussions with practical examples, making the content accessible to both seasoned statisticians and newcomers. The book addresses significant developments in the field, encouraging readers to apply the knowledge to real-world scenarios, including finance, environmental science, and engineering. Rich in detail and rigor, this work serves as an invaluable resource for those seeking to deepen their understanding of extreme statistical values and their significance in predictive modeling.
Ahsanullah and Kirmani combine theoretical discussions with practical examples, making the content accessible to both seasoned statisticians and newcomers. The book addresses significant developments in the field, encouraging readers to apply the knowledge to real-world scenarios, including finance, environmental science, and engineering. Rich in detail and rigor, this work serves as an invaluable resource for those seeking to deepen their understanding of extreme statistical values and their significance in predictive modeling.
Szczegóły książki
Format
Twarda okładka
Strony
212 stron
Język
Angielski
Opublikowany
Sep 12, 2007
Wydawca
Nova Science Pub Inc
Wydanie
1
ISBN-10
1600217141
ISBN-13
9781600217142