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A Course on Small Area Estimation and Mixed Models

This advanced textbook explores small area estimation techniques, covers the underlying mathematical and statistical theory and offers;

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Small Area Estimation

Praise for the First Edition This pioneering work, in which Rao provides a comprehensive and up-to-date treatment of small area estimation;

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Multivariate, Multilinear and Mixed Linear Models

This book presents the latest findings on statistical inference in multivariate, multilinear and mixed linear models, providing a holistic;

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Asymptotic Analysis of Mixed Effects Models

be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.;

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Asymptotic Analysis of Mixed Effects Models

be used as a reference book for a graduate-level course on mixed effects models, or asymptotic analysis.;

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Generalized, Linear, and Mixed Models

estimation A new chapter that treats shared random effects models, latent class models, and properties of models A revised chapter on longitudinal;

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Linear Model Theory

for estimation, hypothesis testing, and confidence intervals. The final chapters, 20-23, concentrate on choosing a sample size. Substantial;

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Small Area Population Estimation

Small Area Population Estimation is een boek van Shuo-Sheng Wu;

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Item Response Theory

chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo;

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Introduction to Small Area Estimation Techniques: A Practical Guide for National Statistics Offices

This guide to small area estimation aims to help users compile more reliable granular or disaggregated data in cost-effective ways. It;

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Linear Model Theory

variance component estimation. The models covered include the Gauss-Markov and Aitken models, mixed and random effects models, and the general;

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Linear Model Theory

variance component estimation. The models covered include the Gauss-Markov and Aitken models, mixed and random effects models, and the general;

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Mixed Poisson Processes

. Work in one area has often been carried out without knowledge of the other area. Mixed Poisson Processes is the first book to combine and;

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Robust Mixed Model Analysis

researcher who studies these models. It can also be treated as a graduate text for a course on mixed-effects models and their applications.;

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Small Area Estimation and Microsimulation Modeling

Small Area Estimation and Microsimulation Modeling is the first practical handbook that comprehensively presents modern statistical SAE;

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Dynamic Factor Models

Dynamic factor models (DFM) constitute an active and growing area of research, both in econometrics, in macroeconomics, and in finance;

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Applied State Estimation and Association

A rigorous introduction to the theory and applications of state estimation and association, an important area in aerospace, electronics;

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In Mixed Company: Communicating in Small Groups and Teams

IN MIXED COMPANY: COMMUNICATING IN SMALL GROUPS AND TEAMS, the author uses the central unifying theme of cooperation and a communication;

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Statistical Tests for Mixed Linear Models

inferences from exact and optimum tests of variance component models, generating much research activity that relies on linear models with mixed and;

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Rainfall-Runoff Relationship in a Local Small Watershed Area

available, estimation of runoff from rainfall is a difficult job.Mathematical models for estimating runoff from rainfall data are in use by;

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A Graduate Course on Statistical Inference

, generalized estimation equations, quasi-likelihood estimation, and conditional inference. They also utilize a standardized set of assumptions and;

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Multivariate Generalized Linear Mixed Models Using R

information on quadrature, model estimation, and endogenous variables, along with SabreR commands and examples. Improve Your Longitudinal StudyIn;

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Plane Answers to Complex Questions

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on;

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Plane Answers to Complex Questions

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on;

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Plane Answers to Complex Questions

This textbook provides a wide-ranging introduction to the use and theory of linear models for analyzing data. The author's emphasis is on;

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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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Extending The Linear Model With R

count models, linear discriminant analysis, and sandwich and robust estimation for generalized linear models (GLMs) Revised chapters on random;

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