Loss Models From Data To Decisions 4e Student Solutions Manual
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Author | : Stuart A. Klugman |
Publisher | : John Wiley & Sons |
Total Pages | : 258 |
Release | : 2014-08-21 |
Genre | : Business & Economics |
ISBN | : 1118472020 |
Student Solutions Manual to Accompany Loss Models: From Data to Decisions, Fourth Edition. This volume is organised around the principle that much of actuarial science consists of the construction and analysis of mathematical models which describe the process by which funds flow into and out of an insurance system.
Author | : Stuart A. Klugman |
Publisher | : John Wiley & Sons |
Total Pages | : 245 |
Release | : 2019-01-07 |
Genre | : Business & Economics |
ISBN | : 111953805X |
Loss Models: From Data to Decisions, Fifth Edition continues to supply actuaries with a practical approach to the key concepts and techniques needed on the job. With updated material and extensive examples, the book successfully provides the essential methods for using available data to construct models for the frequency and severity of future adverse outcomes. The book continues to equip readers with the tools needed for the construction and analysis of mathematical models that describe the process by which funds flow into and out of an insurance system. Focusing on the loss process, the authors explore key quantitative techniques including random variables, basic distributional quantities, and the recursive method, and discuss techniques for classifying and creating distributions. Parametric, non-parametric, and Bayesian estimation methods are thoroughly covered along with advice for choosing an appropriate model. Throughout the book, numerous examples showcase the real-world applications of the presented concepts, with an emphasis on calculations and spreadsheet implementation. Loss Models: From Data to Decisions, Fifth Edition is an indispensable resource for students and aspiring actuaries who are preparing to take the SOA and CAS examinations. The book is also a valuable reference for professional actuaries, actuarial students, and anyone who works with loss and risk models.
Author | : Stuart A. Klugman |
Publisher | : John Wiley & Sons |
Total Pages | : 284 |
Release | : 2019-04-04 |
Genre | : Business & Economics |
ISBN | : 1119538068 |
Solutions manual to accompany a text with comprehensive coverage of actuarial modeling techniques The Student Solutions Manual to Accompany Loss Models: From Data to Decisions covers solutions related to the companion text. The manual and text are designed for use by actuaries and those studying for the profession. Readers can learn modeling techniques used across actuarial science. Knowledge of the techniques is also beneficial for those who use loss data to build models for risk assessment.
Author | : Stuart A. Klugman |
Publisher | : John Wiley & Sons |
Total Pages | : 218 |
Release | : 2018-12-18 |
Genre | : Business & Economics |
ISBN | : 1119538033 |
Solutions manual to accompany a text with comprehensive coverage of actuarial modeling techniques The Student Solutions Manual to Accompany Loss Models: From Data to Decisions covers solutions related to the companion text. The manual and text are designed for use by actuaries and those studying for the profession. Readers can learn modeling techniques used across actuarial science. Knowledge of the techniques is also beneficial for those who use loss data to build models for risk assessment.
Author | : Stuart A. Klugman |
Publisher | : Wiley |
Total Pages | : 0 |
Release | : 2011-10-04 |
Genre | : Mathematics |
ISBN | : 9781118175385 |
This online, multi-color, self-looping electronic product has full text with searchable links; more than 75 plugged-in data sets (in EXCEL); thousands of uniquely-designed and randomly-selected sample SOA/CAS/CIA test exercises, complete with hints and worked-out solutions; multiple forms of simulated exams; and a built-in record-keeping system. It is the perfect electronic substitute for a traditional linear book. Customers will be shipped a physical registration code, which is needed to access the eKlugman Online 3rd Edition website. Price includes one year access/subscription. Once purchased, we are unable to accept returns on this product. There are three modules in this application: In the Prologue Module you will find information about the book and its authors. You will also find detailed instructions on how to best use this product. The Chapter Modules represent the text proper, complete with examples and exercise/solution sets (some static, some with spreadsheet functionality, and some with regeneration functionality). The Exam Modules are simulations of the actuarial Exam C/4. Each Exam features multiple choice questions similar in content and difficulty to those on C/4. There are no hints, but detailed solutions are provided.
Author | : Stuart A. Klugman |
Publisher | : John Wiley & Sons |
Total Pages | : 758 |
Release | : 2012-01-25 |
Genre | : Business & Economics |
ISBN | : 0470391332 |
An update of one of the most trusted books on constructing and analyzing actuarial models Written by three renowned authorities in the actuarial field, Loss Models, Third Edition upholds the reputation for excellence that has made this book required reading for the Society of Actuaries (SOA) and Casualty Actuarial Society (CAS) qualification examinations. This update serves as a complete presentation of statistical methods for measuring risk and building models to measure loss in real-world events. This book maintains an approach to modeling and forecasting that utilizes tools related to risk theory, loss distributions, and survival models. Random variables, basic distributional quantities, the recursive method, and techniques for classifying and creating distributions are also discussed. Both parametric and non-parametric estimation methods are thoroughly covered along with advice for choosing an appropriate model. Features of the Third Edition include: Extended discussion of risk management and risk measures, including Tail-Value-at-Risk (TVaR) New sections on extreme value distributions and their estimation Inclusion of homogeneous, nonhomogeneous, and mixed Poisson processes Expanded coverage of copula models and their estimation Additional treatment of methods for constructing confidence regions when there is more than one parameter The book continues to distinguish itself by providing over 400 exercises that have appeared on previous SOA and CAS examinations. Intriguing examples from the fields of insurance and business are discussed throughout, and all data sets are available on the book's FTP site, along with programs that assist with conducting loss model analysis. Loss Models, Third Edition is an essential resource for students and aspiring actuaries who are preparing to take the SOA and CAS preliminary examinations. It is also a must-have reference for professional actuaries, graduate students in the actuarial field, and anyone who works with loss and risk models in their everyday work. To explore our additional offerings in actuarial exam preparation visit www.wiley.com/go/actuarialexamprep.
Author | : Stuart A. Klugman |
Publisher | : Wiley-Interscience |
Total Pages | : 0 |
Release | : 1998-01-29 |
Genre | : Mathematics |
ISBN | : 9780471238850 |
Much of actuarial science consists of constructing and analyzing mathematical models that describe how fluids flow into and out of an insurance system. This book examines contemporary topics such as risk theory and economics, credibility and stochastic processes with a focus on the loss process, or the outflow of cash due to the payment of benefits.
Author | : William Q. Meeker |
Publisher | : John Wiley & Sons |
Total Pages | : 648 |
Release | : 2017-04-10 |
Genre | : Mathematics |
ISBN | : 0471687170 |
Describes statistical intervals to quantify sampling uncertainty,focusing on key application needs and recently developed methodology in an easy-to-apply format Statistical intervals provide invaluable tools for quantifying sampling uncertainty. The widely hailed first edition, published in 1991, described the use and construction of the most important statistical intervals. Particular emphasis was given to intervals—such as prediction intervals, tolerance intervals and confidence intervals on distribution quantiles—frequently needed in practice, but often neglected in introductory courses. Vastly improved computer capabilities over the past 25 years have resulted in an explosion of the tools readily available to analysts. This second edition—more than double the size of the first—adds these new methods in an easy-to-apply format. In addition to extensive updating of the original chapters, the second edition includes new chapters on: Likelihood-based statistical intervals Nonparametric bootstrap intervals Parametric bootstrap and other simulation-based intervals An introduction to Bayesian intervals Bayesian intervals for the popular binomial, Poisson and normal distributions Statistical intervals for Bayesian hierarchical models Advanced case studies, further illustrating the use of the newly described methods New technical appendices provide justification of the methods and pathways to extensions and further applications. A webpage directs readers to current readily accessible computer software and other useful information. Statistical Intervals: A Guide for Practitioners and Researchers, Second Edition is an up-to-date working guide and reference for all who analyze data, allowing them to quantify the uncertainty in their results using statistical intervals.
Author | : John D. Kelleher |
Publisher | : MIT Press |
Total Pages | : 853 |
Release | : 2020-10-20 |
Genre | : Computers |
ISBN | : 0262361108 |
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning.
Author | : David C. M. Dickson |
Publisher | : Cambridge University Press |
Total Pages | : 180 |
Release | : 2012-03-26 |
Genre | : Business & Economics |
ISBN | : 1107608449 |
"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.