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Statistical Inference in Financial and Insurance Mathematics with R

different statistical experiments considered in order to give the proper sense of estimation risk. Eighty examples and computations with R software;

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Optimal Statistical Inference in Financial Engineering

, their asymptotically optimal inference, and the problem of prediction, followed by a chapter on statistical financial engineering that addresses;

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Introduction to the Theory of Statistical Inference

problems. Highlights Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but understandable;

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Introduction to the Theory of Statistical Inference

problems. Highlights Basic notations and ideas of statistical inference are explained in a mathematically rigorous, but;

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Introductory Statistical Inference

This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using;

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Introductory Statistical Inference

This gracefully organized text reveals the rigorous theory of probability and statistical inference in the style of a tutorial, using;

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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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An Introduction to Statistical Inference and Its Applications with R

Emphasizing concepts rather than recipes, An Introduction to Statistical Inference and Its Applications with R provides a clear exposition;

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Linear Statistical Inference And Its Applications

. Efrom Translated into six major languages of the world, C. R. Rao's Linear Statistical Inference and Its Applications is one of the foremost;

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Semimartingales and their Statistical Inference

applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for;

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Semimartingales and Their Statistical Inference

applications to engineering and economic systems, financial economics, and the biological and medical sciences have made statistical inference for;

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Examples in Parametric Inference with R

This book discusses examples in parametric inference with R. Combining basic theory with modern approaches, it presents the latest;

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Monte Carlo Methods and Models in Finance and Insurance

, including the multilevel Monte Carlo method, the statistical Romberg method, and the Heath-Platen estimator, as well as recent financial and;

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Extreme Value Modeling and Risk Analysis

experts in climatology, hydrology, finance, insurance, sports, and other fields. This book connects statistical/mathematical research with;

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Statistical Portfolio Estimation

The composition of portfolios is one of the most fundamental and important methods in financial engineering, used to control the risk;

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Statistical Portfolio Estimation

The composition of portfolios is one of the most fundamental and important methods in financial engineering, used to control the risk;

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Probability and Statistical Inference, Third Edition

Updated classic statistics text, with new problems and examples Probability and Statistical Inference, Third Edition helps students;

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Regression Modeling with Actuarial and Financial Applications

with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample;

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Regression Modeling with Actuarial and Financial Applications

with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample;

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R Programming and Its Applications in Financial Mathematics

This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate;

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R Programming and Its Applications in Financial Mathematics

This book provides an introduction to R programming and a summary of financial mathematics. It is not always easy for graduate students;

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Statistical Inference

concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less;

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Statistical Inference

concerned with understanding basic statistical concepts and deriving reasonable statistical procedures for a variety of situations, and less;

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Probably Not

A revised edition that explores random numbers, probability, and statistical inference at an introductory mathematical level Written;

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Statistical Inference for Piecewise-deterministic Markov Processes

trivial. Responding to new developments in the field as well as to current research interests and needs, Statistical inference for piecewise;

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Principles of Statistical Inference

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts;

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Principles of Statistical Inference

In this definitive book, D. R. Cox gives a comprehensive and balanced appraisal of statistical inference. He develops the key concepts;

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