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Insurance - Statistical methods.
概要
作品:
26 作品在 9 項出版品 9 種語言
書目資訊
Loss distributions /
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Loss models :from data to decisions /
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Mathematical and Statistical Methods in Insurance and Finance /
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Recursions for convolutions and compound distributions with insurance applications
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Financial and actuarial mathematics
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Statistical tools for finance and insurance
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Regression modeling with actuarial and financial applications /
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Multiple decrement models in Insurancean introduction using R /
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Loss models :from data to decisions /
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Financial mathematics for actuaries /
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Loss modelsfrom data to decisions /
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Loss models :further topics /
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Financial and actuarial statistics :an introduction /
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Loss modelsfurther topics/
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Financial and actuarial statisticsan introduction /
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Solvency II in the insurance industryapplication of a non-life data model /
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Loss models :from data to decisions /
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Effective statistical learning methods for actuaries.III,Neural networks and extensions
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Effective statistical learning methods for actuaries.I,GLMs and extensions /
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Effective statistical learning methods for actuaries.III,Neural networks and extensions /
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Effective statistical learning methods for actuaries IGLMs and extensions /
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Risk and stochastics :Ragnar Norberg /
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Pandemicsinsurance and social protection /
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Decentralized insurancetechnical foundation of business models /
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Statistical foundations of actuarial learning and its applications
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Insurance, biases, discrimination and fairness
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Insurance
Econometrics.
Regression analysis.
Actuarial Sciences.
Mathematics in Business, Economics and Finance.
Data Science.
Applications of Mathematics.
Probability Theory and Stochastic Processes.
Discrimination in insurance.
Methodology of Data Collection and Processing.
Algorithm Analysis and Problem Complexity.
Financial Economics.
Statistical Theory and Methods.
Actuarial science.
Law and Economics.
Actuarial Mathematics.
Quantitative Finance.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Finance /Banking.
Mathematics.
R (Computer program language)
Insurance.
Neural networks (Computer science)
Linear models (Statistics)
Applied Probability.
Applied Statistics.
Business mathematics.
Statistics for Business, Management, Economics, Finance, Insurance.
Epidemics.
Finance
MATHEMATICS / Probability & Statistics / General.
Business Finance.
Social security.
Statistics in Business, Management, Economics, Finance, Insurance.
Machine Learning.
Sex discrimination in insurance.
Economics/Management Science.
Probability and Statistics in Computer Science.
Statistics.
BUSINESS & ECONOMICS / Finance.
Risk Management.
Education, general.
Actuaries.
MATHEMATICS / General.
Corporate Governance.
Mathematical Models of Cognitive Processes and Neural Networks.
Mathematical Statistics.
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