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Estimation, Inference and Specification Analysis

of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood;

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Estimation, Inference and Specification Analysis

of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood;

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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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Methods for Estimation and Inference in Modern Econometrics

Methods for Estimation and Inference in Modern Econometrics provides a comprehensive introduction to a wide range of emerging topics, such;

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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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Inference for Heavy-Tailed Data

for many years, which includes recent bias-reduction estimation for tail index and high quantiles with applications in risk management;

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Proceedings of the International Conference on Linear Statistical Inference Linstat '93

Inference LINSTAT '93, held in Poznan, Poland, from May 31 to June 4, 1993. Topics treated include estimation, prediction and testing in linear;

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Statistical Inference

: The estimation and hypothesis testing problems for both discrete and continuous models The robustness properties and the structural geometry;

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Statistical Inference

different ways of constructing an appropriate distance between the data and the model: the scope of study referred to by Minimum Distance Estimation;

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Signals, Systems and Inference, Global Edition

frequency-domain analysis of signals and systems, and in probability. Directed primarily to upper-level undergraduates and beginning graduate;

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Advanced Linear Models

This work details the statistical inference of linear models including parameter estimation, hypothesis testing, confidence intervals, and;

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Applied Statistical Science II

Contents: Nonparametric Perspectives in Regression Analysis; Record Values of Univariate Distribution; A Transfer Theorem for Multitype;

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Spatial and Spatiotemporal Econometrics

This volume focuses on econometric models that confront estimation and inference issues occurring when sample data exhibit spatial or;

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Pattern Recognition

discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical;

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Statistical Inference

testing and interval estimation are all covered thoroughly, with recent developments outlined. Separate chapters are devoted to Bayesian inference;

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Counterfactuals and Causal Inference

counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative;

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Counterfactuals & Causal Inference

counterfactual approach to observational data analysis are presented with examples from the social, demographic, and health sciences. Alternative;

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Fundamental Statistical Inference

include an intuitive presentation of the (single and double) bootstrap for confidence interval calculations, shrinkage estimation, tail (maximal;

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Advances in Econometric Theory

Halbert White has made a major contribution to key areas of econometrics including specification analysis, specification testing;

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A Graduate Course on Statistical Inference

This textbook offers an accessible and comprehensive overview of statistical estimation and inference that reflects current trends;

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Estimation And Inference In Econometrics

of modern theory and nonlinear techniques of estimation. One theme of the text is the use of artificial regressions for estimation, reference;

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Pattern Recognition in Nanoscience, Environmental Engineering & Archeology

that recognize patterns in data. It encloses sub-disciplines like discriminate analysis, feature extraction, error estimation, cluster analysis;

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Pattern Recognition in Biology

subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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Pathwise Estimation and Inference for Diffusion Market Models

Pathwise estimation and inference for diffusion market models discusses contemporary techniques for inferring, from options and bond prices;

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