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Conditional Measures and Applications

thorough manner, M.M. Rao gave us the highly successful first edition of Conditional Measures and Applications. Until this groundbreaking work;

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On Quasiconvex Conditional Maps.Duality Results and Applications to Finance

On Quasiconvex Conditional Maps.Duality Results and Applications to Finance is een boek van Marco Maggis;

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stochastic processes and functional analysis

Conditional Measures and Applications. Features previously unpublished research articles by a host of internationally recognized scholars.;

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Numerical Probability

hedging of financial derivatives, risk measures (such as value-at-risk and conditional value-at-risk), implicitation of parameters, and;

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Statistical Modeling Using Local Gaussian Approximation

. This extension enables the reader to follow new methods in assessing dependence and conditional dependence, in estimating probability and;

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Applications of Management Science

-criteria measures of public and private enterprises, two-dimensional warranty policy decision making, and creating teams. Section D focuses on;

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Applications of Management Science

-criteria measures of public and private enterprises, two-dimensional warranty policy decision making, and creating teams. Section D focuses on;

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Conditional Monte Carlo

Conditional Monte Carlo: Gradient Estimation and Optimization Applications deals with various gradient estimation techniques;

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Fuzzy Information Measures with Applications

FUZZY INFORMATION MEASURES WITH APPLICATIONS consists from chapters 1 to 8 deals with fuzzy sets theory including fuzzy sets and operations;

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Ergodic Theory

This text is a rigorous introduction to ergodic theory, developing the machinery of conditional measures and expectations, mixing, and;

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Economic Applications of Quantile Regression

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;

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Economic Applications of Quantile Regression

Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing;

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Probability and Stochastics

integration, probability spaces, conditional expectations, and the classical limit theorems. There follows chapters on martingales, Poisson random;

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Probability

distribution, and limits * An early introduction to random variables and Monte Carlo simulation and an emphasis on conditional probability;

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An Introduction to the Theory of Point Processes: Volume I

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns, and;

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An Introduction to the Theory of Point Processes

Point processes and random measures find wide applicability in telecommunications, earthquakes, image analysis, spatial point patterns, and;

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Probability With a View Towards Statistics, Volume II

of densities using Hausdorff measures, the consistency theory using the upper definition function, and the asymptotic normality of maximum estimators;

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Probability and Conditional Expectation

Probability and Conditional Expectations bridges the gap between books on probability theory and statistics by providing the probabilistic;

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Risk Measures with Applications in Finance and Economics

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Quantitative Graph Theory

distance) Graph measures to characterize graphs quantitatively Applications of graph measures in social network analysis and other;

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Quantitative Graph Theory

distance) Graph measures to characterize graphs quantitatively Applications of graph measures in social network analysis and other;

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Quantile Regression for Cross-Sectional and Time Series Data: Applications in Energy Markets Using R

use conditional quantile regression to measure economic relationships among a set of variables. It will also benefit students using the;

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Quality of Life and Technology Assessment

some of the gaps in understanding health status and quality of life, such as the use of quality-of-life measures in technology assessment;

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Safety Aspects of Nuclear Power Plants in Human Induced External Events

safety function is investigated. This procedure can be subsequently extended to calculate probability measures such as conditional core damage;

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QUANTILE REGRESSION - Applications on Experimental and Cross Section Data Using EVIEWS

The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships;

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Reasoning about Uncertainty

measures, complexity-theoretic considerations, and other topics. In order to deal with uncertainty intelligently, we need to be able to represent;

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A Probability Metrics Approach To Financial Risk Measures

A Probability Metrics Approach to Financial Risk Measures relates the field of probability metrics and risk measures to one another and;

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