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Effective Statistical Learning Methods for Actuaries II

Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data;

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Effective Statistical Learning Methods for Actuaries I

Statistical Learning Methods for Actuaries. Written by actuaries for actuaries, this series offers a comprehensive overview of insurance data;

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Probability and Statistics for Actuaries

Probability and Statistics for Actuaries provides students with a structured and detailed explanation of the probabilistic and statistical;

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Modelling Mortality with Actuarial Applications

Actuaries have access to a wealth of individual data in pension and insurance portfolios, but rarely use its full potential. This book will;

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Randomized Phase II Cancer Clinical Trials

accurately use diverse statistical methods for designing and analyzing phase II trials. The author first reviews the statistical methods for single;

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Randomized Phase II Cancer Clinical Trials

use diverse statistical methods for designing and analyzing phase II trials. The author first reviews the statistical methods for single-arm;

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Tree-Based Methods for Statistical Learning in R

This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I;

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Analysis of Messy Data, Volume II

may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores;

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Analysis of Messy Data, Volume II

may be applicable. Analysis of Messy Data, Volume II details the statistical methods appropriate for nonreplicated experiments and explores;

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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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Introduction to Actuarial and Financial Mathematical Methods

This self-contained module for independent study covers the subjects most often needed by non-mathematics graduates, such as;

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Statistical Methods with Applications to Demography and Life Insurance

Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes;

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Statistical Methods with Applications to Demography and Life Insurance

Suitable for statisticians, mathematicians, actuaries, and students interested in the problems of insurance and analysis of lifetimes;

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Value-Oriented Risk Management of Insurance Companies

, there is a new dynamically developing field for actuaries as a result of the emphasis now on the measurement of risk. This book provides the;

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Statistics and Machine Learning Methods for EHR Data

The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning;

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Machine Learning and Knowledge Discovery in Databases

detection; applications; classification; clustering and unsupervised learning; deep learning; ensemble methods; and evaluation. Part II: graphs;

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Machine Learning and Knowledge Discovery in Databases

; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods;

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Machine Learning and Knowledge Discovery in Databases

; applications; classification; clustering and unsupervised learning; deep learningensemble methods; and evaluation. Part II: graphs; kernel methods;

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Introduction to Statistical and Machine Learning Methods for Data Science

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Introduction to Statistical and Machine Learning Methods for Data Science

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Statistical Thinking: Improving Business Performance

the computer is used for computational details, the authors describe the role of statistical thinking and methods for problem solving and;

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Machine Learning for Knowledge Discovery with R

Machine Learning for Knowledge Discovery with R contains methodologies and examples for statistical modelling, inference, and prediction;

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Statistical Mechanics and Thermodynamics

A textbook on statistical mechanics and thermodynamics, suitable for a graduate-level physics course. Covers Boltzmann systems, quantum;

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Mathematical Statistics Basic Ideas and Selected Topics, Volume II 119 Chapman HallCRC Texts in Statistical Science

Mathematical Statistics: Basic Ideas and Selected Topics, Volume II presents important statistical concepts, methods, and tools not covered;

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Financial Mathematics For Actuaries

Financial Mathematics For Actuaries;

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An Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for;

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An Introduction to Statistical Learning

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for;

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