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Nonparametric Statistical Methods And Related Topics

-art research in statistical theory, with an emphasis on nonparametric inference, linear model theory, time series analysis and asymptotic;

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Asymptotic Nonparametric Statistical Analysis of Stationary Time Series

attractive assumption to base statistical analysis on, especially for problems for which less general qualitative assumptions, such as independence;

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Asymptotic Efficiency of Nonparametric Tests

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency;

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Asymptotic Efficiency of Nonparametric Tests

Making a substantiated choice of the most efficient statistical test is one of the basic problems of statistics. Asymptotic efficiency;

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Spectral Analysis for Univariate Time Series

Spectral analysis is widely used to interpret time series collected in diverse areas. This book covers the statistical theory behind;

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Statistical Tests Of Nonparametric Hypotheses

An overview of the asymptotic theory of optimal nonparametric tests is presented in this book. It covers a wide range of topics: Neyman;

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Time Series with Mixed Spectra

with Mixed Spectra focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed;

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Time Series with Mixed Spectra

with Mixed Spectra focuses on the methods and theory for the statistical analysis of time series with mixed spectra. It presents detailed;

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Cambridge Series in Statistical and Probabilistic Mathematics

The theory of empirical processes provides valuable tools for the development of asymptotic theory in (nonparametric) statistical models;

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Regression And Time Series Model Selection

This important book describes procedures for selecting a model from a large set of competing statistical models. It includes model;

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Handbook of Parametric and Nonparametric Statistical Procedures, Fifth Edition

, and structural equation modeling Index numbers and time series analysis applications in business and economics Statistical quality control;

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Observed Confidence Levels

in statistical inference. It focuses on the modern nonparametric framework of bootstrap-based estimates, allowing for substantial theoretical development;

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Observed Confidence Levels

in statistical inference. It focuses on the modern nonparametric framework of bootstrap-based estimates, allowing for substantial theoretical development;

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The Econometric Analysis of Seasonal Time Series

economic time series, summarizing a decade of theoretical advances in the area. The authors discuss the asymptotic distribution theory for linear;

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Handbook Of Applied Econometrics And Statistical Inference

Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;

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Handbook Of Applied Econometrics And Statistical Inference

Summarizing developments and techniques in the field, this reference covers sample surveys, nonparametric analysis, hypothesis testing;

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Empirical Process Techniques for Dependent Data

proved very useful for studying asymptotic properties of parametric as well as non-parametric statistical procedures. Recently, the need to model;

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Modelling Nonlinear Economic Time Series

relationships. It considers nonlinear models in stationary and nonstationary frameworks, and both parametric and nonparametric models are discussed. The;

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Nonlinear Time Series Analysis

in nonlinear time series analysis, statistical learning, dynamic systems and advanced computational methods. Parametric and nonparametric methods and;

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Time Series Data Analysis Using EViews

develop acceptable statistical models, Time Series Data Analysis Using EViews is a perfect complement to theoretical books presenting statistical;

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Gaussian Process Regression Analysis for Functional Data

Gaussian Process Regression Analysis for Functional Data presents nonparametric statistical methods for functional regression analysis;

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Time Series Analysis and Forecasting by Example

, including: * Graphical tools in time series analysis * Procedures for developing stationary, non-stationary, and seasonal models * How to choose the;

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Introduction to the Mathematical and Statistical Foundations of Econometrics

stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own;

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Introduction to the Mathematical and Statistical Foundations of Econometrics

stationary time series, with applications to asymptotic inference of M-estimators, and maximum likelihood theory. Some chapters have their own;

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Nonparametric Models for Longitudinal Data

Nonparametric Models for Longitudinal Data with Implementations in R presents a comprehensive summary of major advances in nonparametric;

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Nonparametric Finance

practical applications, mathematically rigorous presentation, and statistical data analysis into a single volume, this book presents detailed;

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Nonparametric Regression and Spline Smoothing

of boundary corrections for trigonometric series estimators; detailed asymptotics for polynomial regression; testing goodness-of-fit; estimation;

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