The History of Actuarial Science Vol I PDF Download
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Author: Steven Haberman
Publisher: Taylor & Francis
ISBN: 1040238343
Category : Business & Economics
Languages : en
Pages : 362
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Book Description
A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.
Author: Eric V. Slud
Publisher: Chapman & Hall
ISBN: 9781439861974
Category : Business & Economics
Languages : en
Pages : 320
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Book Description
This text covers life tables, survival models, and life insurance premiums and reserves. It presents the actuarial material conceptually with reference to ideas from other mathematical studies, allowing readers with knowledge in calculus to explore business, actuarial science, economics, and statistics. Each chapter contains exercise sets and worked examples, which highlight the most important and frequently used formulas and show how the ideas and formulas work together smoothly. Illustrations and solutions are also provided.
Author: Steven Haberman
Publisher: Taylor & Francis
ISBN: 1040238343
Category : Business & Economics
Languages : en
Pages : 362
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Book Description
A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.
Author: Andrew Leung
Publisher: Academic Press
ISBN: 0323901735
Category : Business & Economics
Languages : en
Pages : 266
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Book Description
Actuarial Principles: Lifetables and Mortality Models explores the core of actuarial science: the study of mortality and other risks and applications. Including the CT4 and CT5 UK courses, but applicable to a global audience, this work lightly covers the mathematical and theoretical background of the subject to focus on real life practice. It offers a brief history of the field, why actuarial notation has become universal, and how theory can be applied to many situations. Uniquely covering both life contingency risks and survival models, the text provides numerous exercises (and their solutions), along with complete self-contained real-world assignments. - Provides detailed coverage of life contingency risks and survival models - Presents self-contained chapters with coverage of key topics from both practitioner and theoretical viewpoints - Includes numerous real world exercises that are accompanied by enlightening solutions - Covers useful background information on how and why the subject has evolved and developed
Author: Steven Haberman
Publisher: Taylor & Francis
ISBN: 1040232159
Category : Business & Economics
Languages : en
Pages : 401
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Book Description
A book which covers the key period in the history of actuarial science from the mid-17th century to the early 19th century. There are reprints of the most important treatises, pamphlets, tables and writings which trace the development of the actuarial industry.
Author: S. David Promislow
Publisher: John Wiley & Sons
ISBN: 0470978074
Category : Mathematics
Languages : en
Pages : 390
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Book Description
This book provides a comprehensive introduction to actuarial mathematics, covering both deterministic and stochastic models of life contingencies, as well as more advanced topics such as risk theory, credibility theory and multi-state models. This new edition includes additional material on credibility theory, continuous time multi-state models, more complex types of contingent insurances, flexible contracts such as universal life, the risk measures VaR and TVaR. Key Features: Covers much of the syllabus material on the modeling examinations of the Society of Actuaries, Canadian Institute of Actuaries and the Casualty Actuarial Society. (SOA-CIA exams MLC and C, CSA exams 3L and 4.) Extensively revised and updated with new material. Orders the topics specifically to facilitate learning. Provides a streamlined approach to actuarial notation. Employs modern computational methods. Contains a variety of exercises, both computational and theoretical, together with answers, enabling use for self-study. An ideal text for students planning for a professional career as actuaries, providing a solid preparation for the modeling examinations of the major North American actuarial associations. Furthermore, this book is highly suitable reference for those wanting a sound introduction to the subject, and for those working in insurance, annuities and pensions.
Author: Steven Haberman
Publisher:
ISBN:
Category : Life insurance
Languages : en
Pages : 378
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Book Description
Author: David C. M. Dickson
Publisher: Cambridge University Press
ISBN: 1107608449
Category : Business & Economics
Languages : en
Pages : 180
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Book Description
"This manual presents solutions to all exercises from Actuarial Mathematics for Life Contingent Risks (AMLCR) by David C.M. Dickson, Mary R. Hardy, Howard Waters; Cambridge University Press, 2009. ISBN 9780521118255"--Pref.
Author: Stephen C. Newman
Publisher: John Wiley & Sons
ISBN: 0471461601
Category : Medical
Languages : en
Pages : 403
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Book Description
An introduction to classical biostatistical methods in epidemiology Biostatistical Methods in Epidemiology provides an introduction to a wide range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. The text includes an extensive discussion of measurement issues in epidemiology, especially confounding. Maximum likelihood, Mantel-Haenszel, and weighted least squares methods are presented for the analysis of closed cohort and case-control data. Kaplan-Meier and Poisson methods are described for the analysis of censored survival data. A justification for using odds ratio methods in case-control studies is provided. Standardization of rates is discussed and the construction of ordinary, multiple decrement and cause-deleted life tables is outlined. Sample size formulas are given for a range of epidemiologic study designs. The text ends with a brief overview of logistic and Cox regression. Other highlights include: Many worked examples based on actual data Discussion of exact methods Recommendations for preferred methods Extensive appendices and references Biostatistical Methods in Epidemiology provides an excellent introduction to the subject for students, while also serving as a comprehensive reference for epidemiologists and other health professionals. For more information, visit www.wiley.com/mathematics
Author: Kazuo Yamaguchi
Publisher: SAGE Publications
ISBN: 1452215650
Category : Social Science
Languages : en
Pages : 193
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Book Description
In a manner similar to many other titles within the Applied Social Research Methods Series, this 182-page book thoroughly covers many of the specific methodological hurdles encountered in implementing event history analysis (EHA). The Applied Social Research Methods Series′ . . . is the result of careful subject selection. . . . Consistent with the practical orientation of the book, each of the application sections provides useful insights into data structure problems and programming notes. . . . Kazuo Yamaguchi′s insightful review of problems in structuring EHA models is useful for those contemplating life-course research. . . . We strongly recommend its inclusion in the libraries of marketing researchers and its inclusion on suggested reading lists of graduate research method seminars. --Journal of Marketing Research "This book, which is part of Sage Publications′ Applied Social Research Methods Series, is a practical guide for those interested in using event history analysis. . . . The book′s strength is that it is well written and easy to understand. Even those with limited statistical backgrounds can follow the discussion and the systematic progression from the simpler to the more complex models (although the author provides ample references for those wanting a more rigorous discussion). . . . Upon finishing the book, I found myself wondering about specific accounting questions that might be addressed using event history analysis. There are many, and in fact, most issues can be recast in an events framework. . . . In sum, I recommend this book to anyone wanting to use event history analysis whether to apply to new research questions or to provide a fresh look at old questions." --The Accounting Review "A significant introduction to the event-history literature that provides the background to implement this difficult methodology successfully and that can be supplemented with other, more advanced texts. It will undoubtedly become a prized text among students and a valuable reference for the research community." --Contemporary Sociology As a research tool event history analysis has recently become a key technique for researchers, professionals and students in a wide range of disciplines. However, despite this increasing interest, few resources exist which clearly examine this technique. Now, Event History Analysis provides a systematic introduction to models, methods and applications of event history analysis. Kazuo Yamaguchi emphasizes "hands on" information, including the use and misuse of samples, models, and covariates in applications, the structural arrangement of input data, the specification of various models in such computer programs as SAS-LOGIST and SPSS-LOGLINEAR, and the interpretation of parameters estimated from models. This timely book also offers such significant topics as missing data, hazard rate, Cox′s partial likelihood model, survivor function, and discrete-time logit models for both one-way and two-way transitions. Event History Analysis is essential for researchers, professionals and students of public health, sociology, labor economics, political science, and organization studies.
Author: Nicholas P. Jewell
Publisher: Springer Science & Business Media
ISBN: 1475756542
Category : Mathematics
Languages : en
Pages : 392
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Book Description
Statistical models and methods for lifetime and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, actuarial science, engineering, economics, management, and the social sciences. For example, closely related statistical methods have been applied to the study of the incubation period of diseases such as AIDS, the remission time of cancers, life tables, the time-to-failure of engineering systems, employment duration, and the length of marriages. This volume contains a selection of papers based on the 1994 International Research Conference on Lifetime Data Models in Reliability and Survival Analysis, held at Harvard University. The conference brought together a varied group of researchers and practitioners to advance and promote statistical science in the many fields that deal with lifetime and other time-to-event-data. The volume illustrates the depth and diversity of the field. A few of the authors have published their conference presentations in the new journal Lifetime Data Analysis (Kluwer Academic Publishers).
