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Author: Edward W. Frees
Publisher: Cambridge University Press
Published: 2010
Total Pages: 585
ISBN-13: 0521760119
DOWNLOAD EBOOKThis book teaches multiple regression and time series and how to use these to analyze real data in risk management and finance.
Author: Edward W. Frees
Publisher: Cambridge University Press
Published: 2009-11-30
Total Pages: 584
ISBN-13: 1139484931
DOWNLOAD EBOOKThis text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.
Author: Edward W. Frees
Publisher:
Published: 2010
Total Pages: 565
ISBN-13: 9781107713352
DOWNLOAD EBOOKThis title gives actuarial and finance students a foundation in multiple regression and time series, and discusses advanced statistical topics that are relevant to actuarial and financial practice.
Author: Edward W. Frees
Publisher: Cambridge University Press
Published: 2014-07-28
Total Pages: 565
ISBN-13: 1107029872
DOWNLOAD EBOOKThis book is for actuaries and financial analysts developing their expertise in statistics and who wish to become familiar with concrete examples of predictive modeling.
Author: Piet de Jong
Publisher: Cambridge University Press
Published: 2008-02-28
Total Pages: 207
ISBN-13: 1139470477
DOWNLOAD EBOOKThis is the only book actuaries need to understand generalized linear models (GLMs) for insurance applications. GLMs are used in the insurance industry to support critical decisions. Until now, no text has introduced GLMs in this context or addressed the problems specific to insurance data. Using insurance data sets, this practical, rigorous book treats GLMs, covers all standard exponential family distributions, extends the methodology to correlated data structures, and discusses recent developments which go beyond the GLM. The issues in the book are specific to insurance data, such as model selection in the presence of large data sets and the handling of varying exposure times. Exercises and data-based practicals help readers to consolidate their skills, with solutions and data sets given on the companion website. Although the book is package-independent, SAS code and output examples feature in an appendix and on the website. In addition, R code and output for all the examples are provided on the website.
Author: Edward W. Frees
Publisher: Cambridge University Press
Published: 2016-07-27
Total Pages: 337
ISBN-13: 1316720527
DOWNLOAD EBOOKPredictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for seasoned practicing analysts as well as those just starting out.
Author: Dale S. Borowiak
Publisher: CRC Press
Published: 2013-11-12
Total Pages: 392
ISBN-13: 0203911245
DOWNLOAD EBOOKUnderstand Up-to-Date Statistical Techniques for Financial and Actuarial ApplicationsSince the first edition was published, statistical techniques, such as reliability measurement, simulation, regression, and Markov chain modeling, have become more prominent in the financial and actuarial industries. Consequently, practitioners and students must ac
Author: Roger J. Gray
Publisher: Cambridge University Press
Published: 2012-06-28
Total Pages: 409
ISBN-13: 0521863945
DOWNLOAD EBOOKA wide range of topics give students a firm foundation in statistical and actuarial concepts and their applications.
Author: Stuart A. Klugman
Publisher: John Wiley & Sons
Published: 2012-01-25
Total Pages: 758
ISBN-13: 0470391332
DOWNLOAD EBOOKAn 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: Christian Lantuejoul
Publisher: Springer Science & Business Media
Published: 2013-06-29
Total Pages: 262
ISBN-13: 3662048086
DOWNLOAD EBOOKThis book deals with the estimation of natural resources using the Monte Carlo methodology. It includes a set of tools to describe the morphological, statistical and stereological properties of spatial random models. Furthermore, the author presents a wide range of spatial models, including random sets and functions, point processes and object populations applicable to the geosciences. The text is based on a series of courses given in the USA and Latin America to civil, mining and petroleum engineers as well as graduate students in statistics. It is the first book to discuss the geostatistical simulation techniques in such a specific way.
