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Asymptotic Statistics in Insurance Risk Theory

of estimating the Gerber-Shiu function. This book is the first to introduce the recent development of statistical methodologies in risk theory (ruin;

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Risk Measures and Insurance Solvency Benchmarks: Fixed-Probability Levels in Renewal Risk Models

someone with knowledge of the classical real-variable theory, including asymptotic methods, will also find this book interesting. For those who;

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A First Course in Asymptotic Theory of Statistics

Starting with the elementary notions of calculus, statistics and probability, the author introduces the basic results of asymptotic theory;

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Asymptotic Statistics

. In addition to most of the standard topics of an asymptotics course, including likelihood inference, M-estimation, the theory of asymptotic efficiency;

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Modern Actuarial Risk Theory

Apart from standard actuarial theory, Modern Actuarial Risk Theory contains methods that are relevant for actuarial practice, for;

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Risk and Insurance

This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial;

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Risk and Insurance

This textbook provides a broad overview of the present state of insurance mathematics and some related topics in risk management, financial;

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From Statistics to Mathematical Finance

from nonparametric estimation, regression modelling and asymptotic bounds for estimators, to shot-noise processes in finance, option pricing;

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Topics in Extreme Values

risk for unusual events. Applications of extreme value theory include predicting the probability distribution of: Extreme floods; The amounts;

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Nonparametric Statistical Methods And Related Topics

, linear model theory, Bayesian nonparametrics, change point problems, time series analysis and asymptotic theory.This volume presents state-of-the;

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Stochastic Processes For Insurance And Finance

treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial;

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Introductory Statistics with Applications in General Insurance

introductory, the authors discuss some more advanced topics, including simulation, calculation of risk premiums, credibility theory, estimation;

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Financial Modeling, Actuarial Valuation and Solvency in Insurance

(insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework;

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Financial Modeling, Actuarial Valuation and Solvency in Insurance

(insurance claims modeling, cash flow valuation) and economic theory (risk aversion, probability distortion) to provide a fully consistent framework;

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Asymptotic Analysis of Random Walks

in numerous applied areas, typical examples being ruin probabilities in risk theory, error probabilities in mathematical statistics, and buffer;

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Actuarial Science

Information Processing and Actuarial Mathematics Theory and Methodology , which was supported by the Chinese government. Summarizing what they;

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Advances in Heavy Tailed Risk Modeling

approach models, flexible heavy tailed risk models, risk measures, and higher order asymptotic approximations of risk measures for capital;

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Risk Management And Insurance

markets. * Incorporates an international perspective from the outset, filling the need to address risk issues on a global scale * Follows theory;

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Practical Risk Theory for Actuaries

This classic textbook covers all aspects of risk theory in a practical way. It builds on from the late R.E. Beard's extremely popular book;

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Asymptotic Theory Of Quantum Statistical Inference

made remarkable progress since 1990. In particular, its asymptotic theory has been developed during this period. However, there has hitherto;

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Stochastic Risk Analysis and Management

and diffusion approach and some special asymptotic.;

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Stochastic Processes for Insurance and Finance

treatment of insurance risk theory recommended for researchers and students interested in applied probability as well as practitioners of actuarial;

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Mathematical Statistics

theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods;

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Limit Theorems in Probability, Statistics and Number Theory

Limit theorems and asymptotic results form a central topic in probability theory and mathematical statistics. New and non-classical limit;

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Risk Theory

Ammeter risk model and the Markov-modulated risk model. Other topics covered include utility theory, credibility theory, claims reserving and ruin;

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Random Summation

This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this;

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Random Summation

This book provides an introduction to the asymptotic theory of random summation, combining a strict exposition of the foundations of this;

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