Statistical and probabilistic methods in actuarial science / Philip J. Boland

By: Boland, Philip JMaterial type: TextTextSeries: Interdisciplinary statistics ; 16Publication details: Boca Raton : Chapman & Hall/CRC, 2007 Description: XVI, 351 p. : il. ; 25 cmISBN: 1-58488-695-1Subject(s): Estadística matemática | ProbabilidadesSummary: Introduces many diverse methods in probability and statistics for actuarial science. Features practical examples with applications to general insurance, financial decision making, and risk analysis. Presents useful introductions to generalized linear models, credibility theory, and game theory. Contains numerous computational and theoretical exercises with selected answers in an appendix. Includes a solutions manual for qualifying instructors. Providing a solid foundation of both theory and methods, this book offers a unified and accessible introduction to probability and statistics for students aspiring to careers in actuarial science and insurance. It presents practical examples of applications, specifically to general insurance, financial decision making, and risk analysis. Basic introductions are also given to claims reserving, generalized linear models, no claim discount schemes, credibility theory, and game theory. The book focuses, in particular, on numerical and computational aspects of the methods developed. To facilitate student understanding, each chapter features numerous exercises. The appendix features selected answers, and a separate solutions manual is available for lecturers
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Item type Home library Call number URL Status Date due Barcode Item holds Course reserves
Monografías 02. BIBLIOTECA CAMPUS PUERTO REAL
Departamento de Estadística - 519.2/BOL/sta (Browse shelf(Opens below)) Texto completo Available   Shelving location | Bibliomaps® 374256208X
Monografías 07. BIBLIOTECA CIENCIAS SOCIALES Y JURÍDICAS
519.2/BOL/sta (Browse shelf(Opens below)) Texto completo Checked out 31/01/2025 3742151060

MATEMATICAS APLICADAS A CIENCIA Y EMPRESA (UCA) MÁSTER EN MATEMÁTICAS Actualizada_2024

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Índice

Bibliografía: p. 304-307

Introduces many diverse methods in probability and statistics for actuarial science. Features practical examples with applications to general insurance, financial decision making, and risk analysis. Presents useful introductions to generalized linear models, credibility theory, and game theory. Contains numerous computational and theoretical exercises with selected answers in an appendix. Includes a solutions manual for qualifying instructors. Providing a solid foundation of both theory and methods, this book offers a unified and accessible introduction to probability and statistics for students aspiring to careers in actuarial science and insurance. It presents practical examples of applications, specifically to general insurance, financial decision making, and risk analysis. Basic introductions are also given to claims reserving, generalized linear models, no claim discount schemes, credibility theory, and game theory. The book focuses, in particular, on numerical and computational aspects of the methods developed. To facilitate student understanding, each chapter features numerous exercises. The appendix features selected answers, and a separate solutions manual is available for lecturers

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