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Maximum Likelihood Estimation with Stata, Fourth Edition

Maximum Likelihood Estimation with Stata, Fourth Edition is written for researchers in all disciplines who need to compute maximum;

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Microeconometrics Using Stata

A complete and up-to-date survey of microeconometric methods available in Stata, Microeconometrics Using Stata, Revised Edition is an;

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Econometric Modelling with Time Series

estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments;

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Econometric Modelling with Time Series

estimation by maximum likelihood, but other methods are also discussed, including quasi-maximum likelihood estimation, generalised method of moments;

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Maximum Likelihood Estimation and Inference

This book takes a fresh look at the popular and well-established method of maximum likelihood for statistical estimation and inference. It;

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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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Parametric Inference: An Introduction

variance unbiased estimator. There is a separate chapter on simultaneous estimation of several parameters. Large sample theory of estimation, based;

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Generalized Linear Models and Extensions

one can fit these models in Stata by using specialized commands (for example, logit for logit models), fitting them as GLMs with Stata's glm;

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Experimetrics

explaining STATA commands in detail. In addition, difficult problems inherent in the methodology are addressed, such as the parametric estimation;

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Fundamentals Of Item Response Theory

parameters, such as maximum likelihood estimation, marginal maximum likelihood estimation, and Bayesian estimation in such a way that the reader does;

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Two Essays on Maximum Likelihood Estimation

maximum likelihood estimation of DSGE models. The first essay focuses on a monetary DSGE model of term structure, and the estimation of its;

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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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Handbook of Statistical Analyses Using Stata, Fourth Edition

software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;

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Maximum Likelihood Estimation for Sample Surveys

population and standard application of likelihood methods can lead to biased and inefficient estimates. Maximum Likelihood Estimation for Sample;

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Introductory Statistics

with a sound presentation. This Fifth Edition includes a wealth of new problems and examples (many of them real--life problems drawn from the;

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Econometric Applications of Maximum Likelihood Methods

first deals with general features of Maximum Likelihood methods; the second with linear and nonlinear regression; and the third with discrete;

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Handbook Of Statistical Analyses Using Stata

software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;

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Handbook of Statistical Analyses Using Stata

software. Fulfilling this need, AHandbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;

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A Handbook of Statistical Analyses Using Stata

software. Fulfilling this need, A Handbook of Statistical Analyses Using Stata, Fourth Edition has been fully updated to provide an introduction to;

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Methods of Multivariate Analysis

This new edition, now with a co-author, offers a complete and up-to-date examination of the field. The authors have streamlined previously;

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Modeling and Estimation of Structural Damage

of probability theory and random processes Covers both theory and algorithms for implementing maximum likelihood and Bayesian estimation approaches;

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Methods of Statistical Model Estimation

maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R;

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Methods of Statistical Model Estimation

maximum likelihood estimation, iteratively reweighted least squares regression, the EM algorithm, and MCMC sampling. Fully developed, working R;

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Econometric Analysis Of Time Series

of maximum likelihood playing a key role in both estimation and testing. Exercises are included and the book is suitable as a general text for final;

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Antedependence Models for Longitudinal Data

, Antedependence Models for Longitudinal Data offers a convenient, systematic way to learn about antedependence models. Illustrated with numerous examples;

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Mathematical Foundations of Infinite-Dimensional Statistical Models

maximum likelihood estimation. In a final chapter the theory of adaptive inference in nonparametric models is developed, including Lepski's method;

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Solutions Manual for Econometrics

This Fourth Edition updates the Solutions Manual for Econometrics to match the Sixth Edition of the Econometrics textbook. It adds;

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