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Financial And Actuarial Statistics

Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published, statistical;

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Financial and Actuarial Statistics

Understand Up-to-Date Statistical Techniques for Financial and Actuarial Applications Since the first edition was published;

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Regression Modeling with Actuarial and Financial Applications

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these;

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Regression Modeling with Actuarial and Financial Applications

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these;

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Predictive Modeling Applications In Actu

is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples;

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Predictive Modeling Applications in Actuarial Science

and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing;

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Modeling in Mathematics

representing noisy sounds with short-time sinusoids, robust Bayesian regularized estimation based on regression model and robust quadratic regression;

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Modern Actuarial Theory and Practice

field of financial economics has precipitated considerable development of thinking in the actuarial profession. Modern Actuarial Theory and;

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Financial Modeling, Actuarial Valuation and Solvency in Insurance

questions. Merz and Wuthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences;

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Financial Modeling, Actuarial Valuation and Solvency in Insurance

questions. Merz and Wuthrich combine ideas from financial mathematics (no-arbitrage theory, equivalent martingale measure), actuarial sciences;

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Unit Root, Cointegration, Granger-Causality, Threshold Regression and Other Econometric Modeling with Economics and Financial Data

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Applied Regression and Modeling

regression analysis with applications, and (3) regression and modeling including the second order models, nonlinear regression, and interaction;

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Financial Mathematics For Actuaries (Second Edition)

Financial Mathematics for Actuaries is a textbook for students in actuarial science, quantitative finance, financial engineering and;

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Actuarial Finance

financial markets and other contingencies. With roots in modern financial mathematics, actuarial finance presents unique challenges due to the long;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Statistical Regression Modeling with R

This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear;

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Wavelet Neural Networks

of the basic principles of wavelet analysis, Wavelet Neural Networks: With Applications in Financial Engineering, Chaos, and Classification also;

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Actuarial Science

of actuarial science. Professors and industry experts from well-known universities in China recently worked together on the project Insurance;

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Modern Actuarial Risk Theory

in Modern Actuarial Risk Theory , together with the hints for solving the more difficult ones and the numerical answers to many others, make the;

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Mathematical and Statistical Methods for Actuarial Sciences and Finance

. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between;

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Copula Modeling

useful in a variety of modeling situations including financial markets, actuarial science, and microeconometrics modeling. Copula Modeling;

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Investment Guarantees

A comprehensive guide to investment guarantees in equity-linked life insurance Due to the convergence of financial and insurance markets;

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Computational Actuarial Science with R

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the;

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Computational Actuarial Science with R

A Hands-On Approach to Understanding and Using Actuarial Models Computational Actuarial Science with R provides an introduction to the;

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Advances in Heavy Tailed Risk Modeling

handbook begins by introducing the motivation for heavy tailed risk processes. A companion with Fundamental Aspects of Operational Risk and;

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Statistics, Data Analysis And Decision Modeling

applications are emphasized throughout the book for business decision-making; a comprehensive database is developed, with marketing, financial, and;

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Loss Models

An essential resource for constructing and analyzing advanced actuarial models Loss Models: Further Topics presents extended coverage;

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