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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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Mathematical Methods For Finance

mathematical concepts that apply to the field of quantitative finance, from sets and distances to functions and variables * The book also includes;

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Statistics in Finance

statisticians to this area, illustrate some of the many ways that statistical tools are used in financial applications, and give some indication;

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Mathematical Statistics with Mathematica

This book and software package presents a unified approach for doing mathematical statistics with Mathematica. The mathStatica software;

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Practical Business Statistics

maintains, but does not overemphasize mathematical correctness. The book fosters deep understanding of both how to learn from data and how to deal;

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Probability Theory

with some selected topics from Mathematical Statistics. It is suitable for a 10 to 14-week course for second or the third year undergraduate;

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Probability and Statistics by Example: Volume 2, Markov Chains

find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so much;

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Computational Finance

mathematical and statistical notions, and to acquire sound programming skills in MATLAB (R), which is useful for several other programming languages;

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Computational Finance

mathematical and statistical notions, and to acquire sound programming skills in MATLAB (R), which is useful for several other programming languages;

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A Concise Introduction to Statistical Inference

statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical;

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A Concise Introduction to Statistical Inference

statistical models to study problems in business, economics, and the social sciences, as well as on how to interpret the results from statistical;

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Mathematical Finance

introduction to the stochastic calculus and control of semimartingales and explains the basic concepts of Mathematical Finance such as arbitrage theory;

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Advanced Modelling in Mathematical Finance

This Festschrift resulted from a workshop on Advanced Modelling in Mathematical Finance held in honour of Ernst Eberlein's 70th birthday;

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Statistics for Finance

Statistics for Finance develops students' professional skills in statistics with applications in finance. Developed from the authors;

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Statistics for Finance

Statistics for Finance develops students' professional skills in statistics with applications in finance. Developed from the authors;

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Computational Finance

Computational Finance presents a modern computational approach to mathematical finance within the Windows environment, and contains;

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Mathematical Statistics

This textbook provides a broad and solid introduction to mathematical statistics, including the classical subjects hypothesis testing;

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Probability And Statistical Theory For Applied Researchers

, begins with sampling theory and distribution theory for statistics from normal populations, proceeds to asymptotic (large-sample) theory, and on;

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Government Finance Statistics Yearbook, 2010

conform to standards set forth in the Government Finance Statistics Manual 2001, and are comparable from country to country. Institutional tables;

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Government finance statistics yearbook 2011

conform to standards set forth in the Government Finance Statistics Manual 2001, and are comparable from country to country. Institutional tables;

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Probability And Statistics For Finance

A comprehensive look at how probability and statistics is applied to the investment process Finance has become increasingly more;

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Government finance statistics yearbook 2012

dramatically during the recent financial crisis. Due to the complexity of public finance statistics, however, such data tend to be either available;

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Classic Topics on the History of Modern Mathematical Statistics

History of Modern Mathematical Statistics: From Laplace to More Recent Times presents a comprehensive guide to the history of mathematical;

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Mathematical Theory of Bayesian Statistics

Mathematical Theory of Bayesian Statistics introduces the mathematical foundation of Bayesian inference which is well-known to be more;

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Mathematical Theory of Bayesian Statistics

criteria of Bayesian statistics are studied from the mathematical point of view. Illustrates applications to several statistical problems;

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Probability & Statistics by Example

can find it very difficult to make a successful transition from lectures to examinations to practice, since the problems involved can vary so;

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Examples and Problems in Mathematical Statistics

Provides the necessary skills to solve problems in mathematical statistics through theory, concrete examples, and exercises With a clear;

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