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Quantile Processes with Statistical Applications

Provides a comprehensive theory of the approximations of quantile processes in light of recent advances, as well as some of their;

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

directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR( )s for (tau)s;

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Handbook of Quantile Regression

Quantile regression constitutes an ensemble of statistical techniques intended to estimate and draw inferences about conditional quantile;

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Quantile Regression

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By;

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Quantile Regression

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. By;

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Statistical Modelling with Quantile Functions

, however, no one put all the ideas together to form what turns out to be a general approach to statistics. Statistical Modelling with Quantile;

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Statistical Modelling with Quantile Functions

, however, no one put all the ideas together to form what turns out to be a general approach to statistics. Statistical Modelling with Quantile;

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Statistical Inference for Financial Engineering

This monograph provides the fundamentals of statistical inference for financial engineering and covers some selected methods suitable for;

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R In Finance And Economics

This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics;

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

conditional distribution of a given variable. The book pursues a practical approach with reference to energy markets, helping readers learn the main;

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Quantile Regression

as a practical resource, the book is thorough without getting too technical about the statistical background. The authors cover a wide;

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Quantile Regression

empirical equations, illustrative graphs, empirical tables and graphs from examples Includes computational codes using statistical software;

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Empirical Likelihood and Quantile Methods for Time Series

imposing redundantly strong restrictions on the model, which has been true until now. Dealing with infinite variance processes makes analysis;

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Decision Processes by Using Bivariate Normal Quantile Pairs

and dependence, offering scope for surrogating between two alternative portfolios when they are correlated. The book begins with a discussion;

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Statistics for Long-Memory Processes

Statistical Methods for Long Term Memory Processes covers the diverse statistical methods and applications for data with long-range;

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Inference and Prediction in Large Dimensions

This book offers a predominantly theoretical coverage of statistical prediction, with some potential applications discussed, when data and;

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Semimartingales and their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Semimartingales and Their Statistical Inference

of stochastic processes, including diffusion type processes, point processes, and diffusion type processes with jumps, widely used for stochastic;

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Statistical Topics and Stochastic Models for Dependent Data with Applications

This book is a collective volume authored by leading scientists in the field of stochastic modelling, associated statistical topics and;

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Distribution-Free Methods for Statistical Process Monitoring and Control

This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate;

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Distribution-Free Methods for Statistical Process Monitoring and Control

This book explores nonparametric statistical process control. It provides an up-to-date overview of nonparametric Shewhart-type univariate;

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Theory and Statistical Applications of Stochastic Processes

This book is concerned with the theory of stochastic processes and the theoretical aspects of statistics for stochastic processes. It;

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New Advances in Statistical Modeling and Applications

of papers in the areas of Statistical Science, Probability and Stochastic Processes, Extremes and Statistical Applications.;

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Stochastic Dominance and Applications to Finance, Risk and Economics

, statistical inference, nonparametric estimation, hypothesis testing, and econometrics. The remainder of the book explores new applications of SD;

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Mostly Harmless Econometrics

The core methods in today's econometric toolkit are linear regression for statistical control, instrumental variables methods for the;

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