Loss Data Analysis

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Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3111048187
Total Pages : 222 pages
Book Rating : 4.1/5 (11 download)

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Book Synopsis Loss Data Analysis by : Henryk Gzyl

Download or read book Loss Data Analysis written by Henryk Gzyl and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-03-06 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical procedures

Loss Data Analysis

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Author :
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110516136
Total Pages : 210 pages
Book Rating : 4.1/5 (15 download)

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Book Synopsis Loss Data Analysis by : Henryk Gzyl

Download or read book Loss Data Analysis written by Henryk Gzyl and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-02-05 with total page 210 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume deals with two complementary topics. On one hand the book deals with the problem of determining the the probability distribution of a positive compound random variable, a problem which appears in the banking and insurance industries, in many areas of operational research and in reliability problems in the engineering sciences. On the other hand, the methodology proposed to solve such problems, which is based on an application of the maximum entropy method to invert the Laplace transform of the distributions, can be applied to many other problems. The book contains applications to a large variety of problems, including the problem of dependence of the sample data used to estimate empirically the Laplace transform of the random variable. Contents Introduction Frequency models Individual severity models Some detailed examples Some traditional approaches to the aggregation problem Laplace transforms and fractional moment problems The standard maximum entropy method Extensions of the method of maximum entropy Superresolution in maxentropic Laplace transform inversion Sample data dependence Disentangling frequencies and decompounding losses Computations using the maxentropic density Review of statistical procedures

Loss Models

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

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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.

Introduction to Data Science

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Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 794 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Introduction to Data Science by : Rafael A. Irizarry

Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.

Line Loss Analysis and Calculation of Electric Power Systems

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Publisher : John Wiley & Sons
ISBN 13 : 1118867092
Total Pages : 381 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Line Loss Analysis and Calculation of Electric Power Systems by : Anguan Wu

Download or read book Line Loss Analysis and Calculation of Electric Power Systems written by Anguan Wu and published by John Wiley & Sons. This book was released on 2016-06-07 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents the fundamentals and calculation of transmission line losses, their reduction, and economic implications • Written by a very experienced expert in this field • Introduces various technical measures for loss reduction, and appended with a large number of examples • Offers a progressive and systematic approach to various aspects of the problems • A timely and original book to meet the challenges of power and grid industry development

Computational Actuarial Science with R

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Publisher : CRC Press
ISBN 13 : 1498759823
Total Pages : 652 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Computational Actuarial Science with R by : Arthur Charpentier

Download or read book Computational Actuarial Science with R written by Arthur Charpentier and published by CRC Press. This book was released on 2014-08-26 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Hands-On Approach to Understanding and Using Actuarial ModelsComputational Actuarial Science with R provides an introduction to the computational aspects of actuarial science. Using simple R code, the book helps you understand the algorithms involved in actuarial computations. It also covers more advanced topics, such as parallel computing and C/

Operational Risk Management in Banks and Idiosyncratic Loss Theory

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Publisher : Emerald Group Publishing
ISBN 13 : 1804552259
Total Pages : 157 pages
Book Rating : 4.8/5 (45 download)

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Book Synopsis Operational Risk Management in Banks and Idiosyncratic Loss Theory by : Sophia Beckett Velez

Download or read book Operational Risk Management in Banks and Idiosyncratic Loss Theory written by Sophia Beckett Velez and published by Emerald Group Publishing. This book was released on 2022-12-07 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Operational Risk Management in Banks and Idiosyncratic Loss Theory: A Leadership Perspective offers consensus considerations that could bolster effective risk management practices in enterprise-wide risk, thereby helping to control fraud and go beyond the minimum risk assessment requirements set forth by the banking regulators.

Operational Risk Management

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Publisher : John Wiley & Sons
ISBN 13 : 1118532457
Total Pages : 354 pages
Book Rating : 4.1/5 (185 download)

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Book Synopsis Operational Risk Management by : Philippa X. Girling

Download or read book Operational Risk Management written by Philippa X. Girling and published by John Wiley & Sons. This book was released on 2013-10-14 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: A best practices guide to all of the elements of an effective operational risk framework While many organizations know how important operational risks are, they still continue to struggle with the best ways to identify and manage them. Organizations of all sizes and in all industries need best practices for identifying and managing key operational risks, if they intend on exceling in today's dynamic environment. Operational Risk Management fills this need by providing both the new and experienced operational risk professional with all of the tools and best practices needed to implement a successful operational risk framework. It also provides real-life examples of successful methods and tools you can use while facing the cultural challenges that are prevalent in this field. Contains informative post-mortems on some of the most notorious operational risk events of our time Explores the future of operational risk in the current regulatory environment Written by a recognized global expert on operational risk An effective operational risk framework is essential for today's organizations. This book will put you in a better position to develop one and use it to identify, assess, control, and mitigate any potential risks of this nature.

Win/Loss Analysis

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Publisher :
ISBN 13 : 9780997272215
Total Pages : 218 pages
Book Rating : 4.2/5 (722 download)

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Book Synopsis Win/Loss Analysis by : Ellen Naylor

Download or read book Win/Loss Analysis written by Ellen Naylor and published by . This book was released on 2016-04 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: If your company is struggling, losing its visibility or failing in growth projections, you need Win/Loss Analysis. Woven throughout are steps to gather competitive intelligence and customer insight. With the guidance of this book, you will remove the guesswork and gain more business through Win/Loss Analysis.

Exploratory Data Analysis with MATLAB

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Publisher : CRC Press
ISBN 13 : 1498776078
Total Pages : 590 pages
Book Rating : 4.4/5 (987 download)

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Book Synopsis Exploratory Data Analysis with MATLAB by : Wendy L. Martinez

Download or read book Exploratory Data Analysis with MATLAB written by Wendy L. Martinez and published by CRC Press. This book was released on 2017-08-07 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Intelligent Data Analytics, IoT, and Blockchain

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Publisher : CRC Press
ISBN 13 : 1000962121
Total Pages : 367 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Intelligent Data Analytics, IoT, and Blockchain by : Bashir Alam

Download or read book Intelligent Data Analytics, IoT, and Blockchain written by Bashir Alam and published by CRC Press. This book was released on 2023-10-30 with total page 367 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on data analytics with machine learning using IoT and blockchain technology. Integrating these three fields by examining their interconnections, Intelligent Data Analytics, IoT, and Blockchain examines the opportunities and challenges of developing systems and applications exploiting these technologies. Written primarily for researchers who are working in this multi-disciplinary field, the book also benefits industry experts and technology executives who want to develop their organizations’ decision-making capabilities. Highlights of the book include: Using image processing with machine learning techniques A deep learning approach for facial recognition A scalable system architecture for smart cities based on cognitive IoT Source authentication of videos shared on social media Survey of blockchain in healthcare Accident prediction by vehicle tracking Big data analytics in disaster management Applicability, limitations, and opportunities of blockchain technology The book presents novel ideas and insights on different aspects of data analytics, blockchain technology, and IoT. It views these technologies as interdisciplinary fields concerning processes and systems that extract knowledge and insights from data. Focusing on recent advances, the book offers a variety of solutions to real-life challenges with an emphasis on security.

Encyclopedia of Quantitative Risk Analysis and Assessment

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Publisher : John Wiley & Sons
ISBN 13 : 0470035498
Total Pages : 2163 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Encyclopedia of Quantitative Risk Analysis and Assessment by :

Download or read book Encyclopedia of Quantitative Risk Analysis and Assessment written by and published by John Wiley & Sons. This book was released on 2008-09-02 with total page 2163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Leading the way in this field, the Encyclopedia of Quantitative Risk Analysis and Assessment is the first publication to offer a modern, comprehensive and in-depth resource to the huge variety of disciplines involved. A truly international work, its coverage ranges across risk issues pertinent to life scientists, engineers, policy makers, healthcare professionals, the finance industry, the military and practising statisticians. Drawing on the expertise of world-renowned authors and editors in this field this title provides up-to-date material on drug safety, investment theory, public policy applications, transportation safety, public perception of risk, epidemiological risk, national defence and security, critical infrastructure, and program management. This major publication is easily accessible for all those involved in the field of risk assessment and analysis. For ease-of-use it is available in print and online.

Statistical Analysis of Operational Risk Data

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Author :
Publisher : Springer Nature
ISBN 13 : 3030425800
Total Pages : 84 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Statistical Analysis of Operational Risk Data by : Giovanni De Luca

Download or read book Statistical Analysis of Operational Risk Data written by Giovanni De Luca and published by Springer Nature. This book was released on 2020-02-24 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt: This concise book for practitioners presents the statistical analysis of operational risk, which is considered the most relevant source of bank risk, after market and credit risk. The book shows that a careful statistical analysis can improve the results of the popular loss distribution approach. The authors identify the risk classes by applying a pooling rule based on statistical tests of goodness-of-fit, use the theory of the mixture of distributions to analyze the loss severities, and apply copula functions for risk class aggregation. Lastly, they assess operational risk data in order to estimate the so-called capital-at-risk that represents the minimum capital requirement that a bank has to hold. The book is primarily intended for quantitative analysts and risk managers, but also appeals to graduate students and researchers interested in bank risks.

Computational Topology for Data Analysis

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Publisher : Cambridge University Press
ISBN 13 : 1009103199
Total Pages : 456 pages
Book Rating : 4.0/5 (91 download)

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Book Synopsis Computational Topology for Data Analysis by : Tamal Krishna Dey

Download or read book Computational Topology for Data Analysis written by Tamal Krishna Dey and published by Cambridge University Press. This book was released on 2022-03-10 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data, and the area has grown substantially both in its methodologies and applicability. Providing a computational and algorithmic foundation for techniques in TDA, this comprehensive, self-contained text introduces students and researchers in mathematics and computer science to the current state of the field. The book features a description of mathematical objects and constructs behind recent advances, the algorithms involved, computational considerations, as well as examples of topological structures or ideas that can be used in applications. It provides a thorough treatment of persistent homology together with various extensions – like zigzag persistence and multiparameter persistence – and their applications to different types of data, like point clouds, triangulations, or graph data. Other important topics covered include discrete Morse theory, the Mapper structure, optimal generating cycles, as well as recent advances in embedding TDA within machine learning frameworks.

Student Solutions Manual to Accompany Loss Models: From Data to Decisions

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119538068
Total Pages : 303 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis Student Solutions Manual to Accompany Loss Models: From Data to Decisions by : Stuart A. Klugman

Download or read book Student Solutions Manual to Accompany Loss Models: From Data to Decisions written by Stuart A. Klugman and published by John Wiley & Sons. This book was released on 2019-04-04 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

The Prevention and Treatment of Missing Data in Clinical Trials

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Publisher : National Academies Press
ISBN 13 : 030918651X
Total Pages : 163 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The Prevention and Treatment of Missing Data in Clinical Trials by : National Research Council

Download or read book The Prevention and Treatment of Missing Data in Clinical Trials written by National Research Council and published by National Academies Press. This book was released on 2010-12-21 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.

Health and Safety: Risk Management

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Author :
Publisher : Routledge
ISBN 13 : 1317271254
Total Pages : 602 pages
Book Rating : 4.3/5 (172 download)

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Book Synopsis Health and Safety: Risk Management by : Tony Boyle

Download or read book Health and Safety: Risk Management written by Tony Boyle and published by Routledge. This book was released on 2017-10-19 with total page 602 pages. Available in PDF, EPUB and Kindle. Book excerpt: Health and Safety: Risk Management is the clearest and most comprehensive book on risk management available today. This newly revised fourth edition integrates new developments in legislation, standards and practice, and incorporates up-to-date information for qualification syllabuses. The book is divided into four main parts. Part 1.1 is primarily concerned with the fundamentals of risk management and is relevant for all students of health and safety, while Part 1.2 covers the required basic human factors material required for health and safety qualifications. Part 2.1 deals with the more advanced aspects of risk management, while Part 2.2 covers the more advanced human factors material required by those studying for qualifications in health and safety. This authoritative treatment of risk management is essential reading for both students working towards degrees, diplomas and postgraduate or vocational qualifications in health and safety and experienced health and safety professionals, who will find it invaluable as a reference.