Claim Models

Download Claim Models full books in PDF, epub, and Kindle. Read online Claim Models ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Claim Models

Author : Greg Taylor
Publisher : MDPI
ISBN 13 : 3039286641
Total Pages : 108 pages
Book Rating : 4.0/5 (392 download)

DOWNLOAD NOW!

Book Synopsis Claim Models by : Greg Taylor

Download or read book Claim Models written by Greg Taylor and published by MDPI. This book was released on 2020-04-15 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This collection of articles addresses the most modern forms of loss reserving methodology: granular models and machine learning models. New methodologies come with questions about their applicability. These questions are discussed in one article, which focuses on the relative merits of granular and machine learning models. Others illustrate applications with real-world data. The examples include neural networks, which, though well known in some disciplines, have previously been limited in the actuarial literature. This volume expands on that literature, with specific attention to their application to loss reserving. For example, one of the articles introduces the application of neural networks of the gated recurrent unit form to the actuarial literature, whereas another uses a penalized neural network. Neural networks are not the only form of machine learning, and two other papers outline applications of gradient boosting and regression trees respectively. Both articles construct loss reserves at the individual claim level so that these models resemble granular models. One of these articles provides a practical application of the model to claim watching, the action of monitoring claim development and anticipating major features. Such watching can be used as an early warning system or for other administrative purposes. Overall, this volume is an extremely useful addition to the libraries of those working at the loss reserving frontier.

Actuarial Modelling of Claim Counts

Author : Michel Denuit
Publisher : John Wiley & Sons
ISBN 13 : 9780470517413
Total Pages : 384 pages
Book Rating : 4.5/5 (174 download)

DOWNLOAD NOW!

Book Synopsis Actuarial Modelling of Claim Counts by : Michel Denuit

Download or read book Actuarial Modelling of Claim Counts written by Michel Denuit and published by John Wiley & Sons. This book was released on 2007-07-27 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are a wide range of variables for actuaries to consider when calculating a motorist’s insurance premium, such as age, gender and type of vehicle. Further to these factors, motorists’ rates are subject to experience rating systems, including credibility mechanisms and Bonus Malus systems (BMSs). Actuarial Modelling of Claim Counts presents a comprehensive treatment of the various experience rating systems and their relationships with risk classification. The authors summarize the most recent developments in the field, presenting ratemaking systems, whilst taking into account exogenous information. The text: Offers the first self-contained, practical approach to a priori and a posteriori ratemaking in motor insurance. Discusses the issues of claim frequency and claim severity, multi-event systems, and the combinations of deductibles and BMSs. Introduces recent developments in actuarial science and exploits the generalised linear model and generalised linear mixed model to achieve risk classification. Presents credibility mechanisms as refinements of commercial BMSs. Provides practical applications with real data sets processed with SAS software. Actuarial Modelling of Claim Counts is essential reading for students in actuarial science, as well as practicing and academic actuaries. It is also ideally suited for professionals involved in the insurance industry, applied mathematicians, quantitative economists, financial engineers and statisticians.

Nonlife Actuarial Models

Author : Yiu-Kuen Tse
Publisher : Cambridge University Press
ISBN 13 : 0521764653
Total Pages : 541 pages
Book Rating : 4.5/5 (217 download)

DOWNLOAD NOW!

Book Synopsis Nonlife Actuarial Models by : Yiu-Kuen Tse

Download or read book Nonlife Actuarial Models written by Yiu-Kuen Tse and published by Cambridge University Press. This book was released on 2009-09-17 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This class-tested undergraduate textbook covers the entire syllabus for Exam C of the Society of Actuaries (SOA).

Generalized Linear Models for Insurance Rating

Author : Mark Goldburd
Publisher :
ISBN 13 : 9780996889728
Total Pages : 106 pages
Book Rating : 4.8/5 (897 download)

DOWNLOAD NOW!

Book Synopsis Generalized Linear Models for Insurance Rating by : Mark Goldburd

Download or read book Generalized Linear Models for Insurance Rating written by Mark Goldburd and published by . This book was released on 2016-06-08 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bonus-Malus Systems in Automobile Insurance

Author : Jean Lemaire
Publisher : Springer Science & Business Media
ISBN 13 : 9401106312
Total Pages : 300 pages
Book Rating : 4.4/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Bonus-Malus Systems in Automobile Insurance by : Jean Lemaire

Download or read book Bonus-Malus Systems in Automobile Insurance written by Jean Lemaire and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most insurers around the world have introduced some form of merit-rating in automobile third party liability insurance. Such systems, penalizing at-fault accidents by premium surcharges and rewarding claim-free years by discounts, are called bonus-malus systems (BMS) in Europe and Asia. With the current deregulation trends that concern most insurance markets around the world, many companies will need to develop their own BMS. The main objective of the book is to provide them models to design BMS that meet their objectives. Part I of the book contains an overall presentation of the pros and cons of merit-rating, a case study and a review of the different probability distributions that can be used to model the number of claims in an automobile portfolio. In Part II, 30 systems from 22 different countries, are evaluated and ranked according to their `toughness' towards policyholders. Four tools are created to evaluate that toughness and provide a tentative classification of all systems. Then, factor analysis is used to aggregate and summarize the data, and provide a final ranking of all systems. Part III is an up-to-date review of all the probability models that have been proposed for the design of an optimal BMS. The application of these models would enable the reader to devise the system that is ideally suited to the behavior of the policyholders of his own insurance company. Finally, Part IV analyses an alternative to BMS; the introduction of a policy with a deductible.

Artificial Intelligence in Medical Imaging

Author : Erik R. Ranschaert
Publisher : Springer
ISBN 13 : 3319948784
Total Pages : 369 pages
Book Rating : 4.3/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Medical Imaging by : Erik R. Ranschaert

Download or read book Artificial Intelligence in Medical Imaging written by Erik R. Ranschaert and published by Springer. This book was released on 2019-01-29 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a thorough overview of the ongoing evolution in the application of artificial intelligence (AI) within healthcare and radiology, enabling readers to gain a deeper insight into the technological background of AI and the impacts of new and emerging technologies on medical imaging. After an introduction on game changers in radiology, such as deep learning technology, the technological evolution of AI in computing science and medical image computing is described, with explanation of basic principles and the types and subtypes of AI. Subsequent sections address the use of imaging biomarkers, the development and validation of AI applications, and various aspects and issues relating to the growing role of big data in radiology. Diverse real-life clinical applications of AI are then outlined for different body parts, demonstrating their ability to add value to daily radiology practices. The concluding section focuses on the impact of AI on radiology and the implications for radiologists, for example with respect to training. Written by radiologists and IT professionals, the book will be of high value for radiologists, medical/clinical physicists, IT specialists, and imaging informatics professionals.

Model Rules of Professional Conduct

Author : American Bar Association. House of Delegates
Publisher : American Bar Association
ISBN 13 : 9781590318737
Total Pages : 216 pages
Book Rating : 4.3/5 (187 download)

DOWNLOAD NOW!

Book Synopsis Model Rules of Professional Conduct by : American Bar Association. House of Delegates

Download or read book Model Rules of Professional Conduct written by American Bar Association. House of Delegates and published by American Bar Association. This book was released on 2007 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Model Rules of Professional Conduct provides an up-to-date resource for information on legal ethics. Federal, state and local courts in all jurisdictions look to the Rules for guidance in solving lawyer malpractice cases, disciplinary actions, disqualification issues, sanctions questions and much more. In this volume, black-letter Rules of Professional Conduct are followed by numbered Comments that explain each Rule's purpose and provide suggestions for its practical application. The Rules will help you identify proper conduct in a variety of given situations, review those instances where discretionary action is possible, and define the nature of the relationship between you and your clients, colleagues and the courts.

Loss Models

Author : Stuart A. Klugman
Publisher : John Wiley & Sons
ISBN 13 : 0470391332
Total Pages : 758 pages
Book Rating : 4.4/5 (73 download)

DOWNLOAD NOW!

Book Synopsis Loss Models by : Stuart A. Klugman

Download or read book Loss Models written by Stuart A. Klugman and published by John Wiley & Sons. This book was released on 2012-01-25 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spin Sucks

Author : Gini Dietrich
Publisher : Pearson Education
ISBN 13 : 078974886X
Total Pages : 165 pages
Book Rating : 4.7/5 (897 download)

DOWNLOAD NOW!

Book Synopsis Spin Sucks by : Gini Dietrich

Download or read book Spin Sucks written by Gini Dietrich and published by Pearson Education. This book was released on 2014 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go beyond PR spin! Master better ways to communicate honestly and regain the trust of your customers and stakeholders with this book.

Stochastic Loss Reserving Using Generalized Linear Models

Author : Greg Taylor
Publisher :
ISBN 13 : 9780996889704
Total Pages : 100 pages
Book Rating : 4.8/5 (897 download)

DOWNLOAD NOW!

Book Synopsis Stochastic Loss Reserving Using Generalized Linear Models by : Greg Taylor

Download or read book Stochastic Loss Reserving Using Generalized Linear Models written by Greg Taylor and published by . This book was released on 2016-05-04 with total page 100 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this monograph, authors Greg Taylor and Gráinne McGuire discuss generalized linear models (GLM) for loss reserving, beginning with strong emphasis on the chain ladder. The chain ladder is formulated in a GLM context, as is the statistical distribution of the loss reserve. This structure is then used to test the need for departure from the chain ladder model and to consider natural extensions of the chain ladder model that lend themselves to the GLM framework.

Foundations of Linear and Generalized Linear Models

Author : Alan Agresti
Publisher : John Wiley & Sons
ISBN 13 : 1118730038
Total Pages : 471 pages
Book Rating : 4.1/5 (187 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Linear and Generalized Linear Models by : Alan Agresti

Download or read book Foundations of Linear and Generalized Linear Models written by Alan Agresti and published by John Wiley & Sons. This book was released on 2015-02-23 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: A valuable overview of the most important ideas and results in statistical modeling Written by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted models to elucidate key ideas and promote practical modelbuilding. The book begins by illustrating the fundamentals of linear models, such as how the model-fitting projects the data onto a model vector subspace and how orthogonal decompositions of the data yield information about the effects of explanatory variables. Subsequently, the book covers the most popular generalized linear models, which include binomial and multinomial logistic regression for categorical data, and Poisson and negative binomial loglinear models for count data. Focusing on the theoretical underpinnings of these models, Foundations ofLinear and Generalized Linear Models also features: An introduction to quasi-likelihood methods that require weaker distributional assumptions, such as generalized estimating equation methods An overview of linear mixed models and generalized linear mixed models with random effects for clustered correlated data, Bayesian modeling, and extensions to handle problematic cases such as high dimensional problems Numerous examples that use R software for all text data analyses More than 400 exercises for readers to practice and extend the theory, methods, and data analysis A supplementary website with datasets for the examples and exercises An invaluable textbook for upper-undergraduate and graduate-level students in statistics and biostatistics courses, Foundations of Linear and Generalized Linear Models is also an excellent reference for practicing statisticians and biostatisticians, as well as anyone who is interested in learning about the most important statistical models for analyzing data.

Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning

Author : Richard Segall
Publisher : Engineering Science Reference
ISBN 13 : 9781799884552
Total Pages : pages
Book Rating : 4.8/5 (845 download)

DOWNLOAD NOW!

Book Synopsis Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning by : Richard Segall

Download or read book Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning written by Richard Segall and published by Engineering Science Reference. This book was released on 2021-11 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book covers applications of artificial neural networks (ANN) and machine learning (ML) aspects of artificial intelligence to applications to the biomedical and business world including their interface to applications for screening for diseases to applications to large-scale credit card purchasing patterns"--

Risk Modelling in General Insurance

Author : Roger J. Gray
Publisher : Cambridge University Press
ISBN 13 : 0521863945
Total Pages : 409 pages
Book Rating : 4.5/5 (218 download)

DOWNLOAD NOW!

Book Synopsis Risk Modelling in General Insurance by : Roger J. Gray

Download or read book Risk Modelling in General Insurance written by Roger J. Gray and published by Cambridge University Press. This book was released on 2012-06-28 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: A wide range of topics give students a firm foundation in statistical and actuarial concepts and their applications.

The Random-Cluster Model

Author : Geoffrey R. Grimmett
Publisher : Springer Science & Business Media
ISBN 13 : 3540328912
Total Pages : 392 pages
Book Rating : 4.5/5 (43 download)

DOWNLOAD NOW!

Book Synopsis The Random-Cluster Model by : Geoffrey R. Grimmett

Download or read book The Random-Cluster Model written by Geoffrey R. Grimmett and published by Springer Science & Business Media. This book was released on 2006-12-13 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The random-cluster model has emerged as a key tool in the mathematical study of ferromagnetism. It may be viewed as an extension of percolation to include Ising and Potts models, and its analysis is a mix of arguments from probability and geometry. The Random-Cluster Model contains accounts of the subcritical and supercritical phases, together with clear statements of important open problems. The book includes treatment of the first-order (discontinuous) phase transition.

R for Data Science

Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis R for Data Science by : Hadley Wickham

Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Stochastic Claims Reserving Methods in Insurance

Author : Mario V. Wüthrich
Publisher : John Wiley & Sons
ISBN 13 : 0470772727
Total Pages : 438 pages
Book Rating : 4.4/5 (77 download)

DOWNLOAD NOW!

Book Synopsis Stochastic Claims Reserving Methods in Insurance by : Mario V. Wüthrich

Download or read book Stochastic Claims Reserving Methods in Insurance written by Mario V. Wüthrich and published by John Wiley & Sons. This book was released on 2008-04-30 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Claims reserving is central to the insurance industry. Insurance liabilities depend on a number of different risk factors which need to be predicted accurately. This prediction of risk factors and outstanding loss liabilities is the core for pricing insurance products, determining the profitability of an insurance company and for considering the financial strength (solvency) of the company. Following several high-profile company insolvencies, regulatory requirements have moved towards a risk-adjusted basis which has lead to the Solvency II developments. The key focus in the new regime is that financial companies need to analyze adverse developments in their portfolios. Reserving actuaries now have to not only estimate reserves for the outstanding loss liabilities but also to quantify possible shortfalls in these reserves that may lead to potential losses. Such an analysis requires stochastic modeling of loss liability cash flows and it can only be done within a stochastic framework. Therefore stochastic loss liability modeling and quantifying prediction uncertainties has become standard under the new legal framework for the financial industry. This book covers all the mathematical theory and practical guidance needed in order to adhere to these stochastic techniques. Starting with the basic mathematical methods, working right through to the latest developments relevant for practical applications; readers will find out how to estimate total claims reserves while at the same time predicting errors and uncertainty are quantified. Accompanying datasets demonstrate all the techniques, which are easily implemented in a spreadsheet. A practical and essential guide, this book is a must-read in the light of the new solvency requirements for the whole insurance industry.

Digitalization Cases Vol. 2

Author : Nils Urbach
Publisher : Springer Nature
ISBN 13 : 3030800032
Total Pages : 426 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Digitalization Cases Vol. 2 by : Nils Urbach

Download or read book Digitalization Cases Vol. 2 written by Nils Urbach and published by Springer Nature. This book was released on 2021-10-30 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a rich compilation of real-world cases on digitalization, aiming to share first-hand insights from renowned organizations and to make digitalization tangible. With all economic and societal sectors being challenged by emerging technologies, the digital economy is highly volatile, uncertain, complex, and ambiguous. It confronts established organizations with substantial challenges and opportunities. Against this backdrop, this book reports on best practices and lessons learned from organizations that succeeded in tackling the challenges and seizing the opportunities of the digital economy. It illustrates how twenty organizations leveraged their capabilities to create disruptive innovation, to develop digital business models, and to digitally transform themselves. These cases stem from various industries (e.g. automotive, insurance, consulting, and public services) and countries, covering the many facets that digitalization may have. As all case descriptions follow a unified template, they are easily accessible for readers and provide insightful examples for practitioners as well as interesting cases for researchers, teachers, and students. Almost every organization is trying to figure out how best to respond to the opportunities and threats posed by digitalization. This book provides valuable lessons from those organizations that have already begun their digital transformation journey. Michael D. Myers, Professor of Information Systems, University of Auckland Digitalization Cases provides firsthand insights into the efforts of renowned companies. The presented actions, results, and lessons learned are a great inspiration for managers, students, and academics. This book gives real pointers on the how and where to start. Anna Kopp, Head of IT Germany, Microsoft The cases compiled in the second volume of Digitalization Cases show how disruption can actively be managed. Further, long-term insights from extended success stories of the first edition highlight that courage to change pays off well. This book represents a motivation for organizations to drive their digital transformation journeys actively. Markus Richter, State Secretary at the Federal Ministry of the Interior, Building and Community and Federal Government Commissioner for Information Technology, Germany