The Use of Generalized Inverses in Restricted Maximum Likelihood

The Use of Generalized Inverses in Restricted Maximum Likelihood PDF Author: Henk Don
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 26

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The Use of Generalized Inverses in Restricted Maximum Likelihood

The Use of Generalized Inverses in Restricted Maximum Likelihood PDF Author: Henk Don
Publisher:
ISBN:
Category : Regression analysis
Languages : en
Pages : 26

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Book Description


Advanced Lectures in Quantitative Economics

Advanced Lectures in Quantitative Economics PDF Author: Frederick van Der Ploeg
Publisher: Academic Press
ISBN: 148327036X
Category : Business & Economics
Languages : en
Pages : 649

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Book Description
Advanced Lectures in Quantitative Economics summarizes some of the efforts of a second-phase program for first-rate candidates with a Master's degree in economics who wish to continue with a doctoral degree in quantitative economics. This book is organized into three main topics—macroeconomics, microeconomics, and econometrics. This text specifically discusses the Neo-Keynesian macroeconomics in an open economy, international coordination of monetary policies under alternative exchange-rate regimes, and prospects for global trade imbalances. The post-war developments in labor economics, introduction to overlapping generation models, and measurement of expectations and direct tests of the REH are also elaborated. This monograph likewise covers the dynamic econometric modeling of decisions under uncertainty and fundamental bordered matrix of linear estimation. This publication is a good reference for students and specialists interested in quantitative economics.

Generalized, Linear, and Mixed Models

Generalized, Linear, and Mixed Models PDF Author: Charles E. McCulloch
Publisher: John Wiley & Sons
ISBN: 0471654043
Category : Social Science
Languages : en
Pages : 358

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Book Description
Wiley Series in Probability and Statistics A modern perspective on mixed models The availability of powerful computing methods in recent decades has thrust linear and nonlinear mixed models into the mainstream of statistical application. This volume offers a modern perspective on generalized, linear, and mixed models, presenting a unified and accessible treatment of the newest statistical methods for analyzing correlated, nonnormally distributed data. As a follow-up to Searle's classic, Linear Models, and Variance Components by Searle, Casella, and McCulloch, this new work progresses from the basic one-way classification to generalized linear mixed models. A variety of statistical methods are explained and illustrated, with an emphasis on maximum likelihood and restricted maximum likelihood. An invaluable resource for applied statisticians and industrial practitioners, as well as students interested in the latest results, Generalized, Linear, and Mixed Models features: * A review of the basics of linear models and linear mixed models * Descriptions of models for nonnormal data, including generalized linear and nonlinear models * Analysis and illustration of techniques for a variety of real data sets * Information on the accommodation of longitudinal data using these models * Coverage of the prediction of realized values of random effects * A discussion of the impact of computing issues on mixed models

The Econometrics of Panel Data

The Econometrics of Panel Data PDF Author: László Mátyás
Publisher: Springer Science & Business Media
ISBN: 9400903758
Category : Business & Economics
Languages : en
Pages : 564

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Book Description
The aim of this volume is to provide a general overview of the econometrics of panel data, both from a theoretical and from an applied viewpoint. Since the pioneering papers by Kuh (1959), Mundlak (1961), Hoch (1962), and Balestra and Nerlove (1966), the pooling of cross section and time series data has become an increasingly popular way of quantifying economic relationships. Each series provides information lacking in the other, so a combination of both leads to more accurate and reliable results than would be achievable by one type of series alone. Over the last 30 years much work has been done: investigation of the properties of the applied estimators and test statistics, analysis of dynamic models and the effects of eventual measurement errors, etc. These are just some of the problems addressed by this work. In addition, some specific diffi culties associated with the use of panel data, such as attrition, heterogeneity, selectivity bias, pseudo panels etc., have also been explored. The first objective of this book, which takes up Parts I and II, is to give as complete and up-to-date a presentation of these theoretical developments as possible. Part I is concerned with classical linear models and their extensions; Part II deals with nonlinear models and related issues: logit and probit models, latent variable models, incomplete panels and selectivity bias, and point processes.

Estimation of Simultaneous Equation Models with Error Components Structure

Estimation of Simultaneous Equation Models with Error Components Structure PDF Author: Jayalakshmi Krishnakumar
Publisher: Springer Science & Business Media
ISBN: 3642456472
Category : Business & Economics
Languages : en
Pages : 371

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Book Description
Economists can rarely perform controlled experiments to generate data. Existing information in the form of real-life observations simply has to be utilized in the best possible way. Given this, it is advantageous to make use of the increasing availability and accessibility of combinations of time-series and cross-sectional data in the estimation of economic models. But such data call for a new methodology of estimation and hence for the development of new econometric models. This book proposes one such new model which introduces error components in a system of simultaneous equations to take into account the temporal and cross-sectional heterogeneity of panel data. After a substantial survey of panel data models, the newly proposed model is presented in detail and indirect estimations, full information and limited information estimations, and estimations with and without the assumption of normal distribution errors. These estimation methods are then applied using a computer to estimate a model of residential electricity demand using data on American households. The results are analysed both from an economic and from a statistical point of view.

The Common Agricultural Policy beyond the MacSharry Reform

The Common Agricultural Policy beyond the MacSharry Reform PDF Author: C. Folmer
Publisher: Elsevier
ISBN: 1483290530
Category : Business & Economics
Languages : en
Pages : 360

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Book Description
The reform of the Common Agricultural Policy (CAP) which is now being implemented, reduces the support for a selected number of agricultural products. This book uses welfare theory and applied general equilibrium analysis to assess the medium to long term consequences of this reform, if the new policies remain in place until the beginning of the next century. It analyses the implications of two alternative scenarios: a) a further trade liberalisation covering all commodities; and b) increased protectionism with high prices, constraints on production and export subsidies (financed by the farmers themselves). The study also investigates the implications of financial renationalisation, whereby the European Union member-states would cover the costs of their own support measures.

Advanced Lectures in Quantitative Economics

Advanced Lectures in Quantitative Economics PDF Author:
Publisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 664

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Book Description


Generalized Linear Mixed Models

Generalized Linear Mixed Models PDF Author: Walter W. Stroup
Publisher: CRC Press
ISBN: 1439815127
Category : Mathematics
Languages : en
Pages : 558

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Book Description
Generalized Linear Mixed Models: Modern Concepts, Methods and Applications presents an introduction to linear modeling using the generalized linear mixed model (GLMM) as an overarching conceptual framework. For readers new to linear models, the book helps them see the big picture. It shows how linear models fit with the rest of the core statistics curriculum and points out the major issues that statistical modelers must consider. Along with describing common applications of GLMMs, the text introduces the essential theory and main methodology associated with linear models that accommodate random model effects and non-Gaussian data. Unlike traditional linear model textbooks that focus on normally distributed data, this one adopts a generalized mixed model approach throughout: data for linear modeling need not be normally distributed and effects may be fixed or random. With numerous examples using SAS® PROC GLIMMIX, this book is ideal for graduate students in statistics, statistics professionals seeking to update their knowledge, and researchers new to the generalized linear model thought process. It focuses on data-driven processes and provides context for extending traditional linear model thinking to generalized linear mixed modeling. See Professor Stroup discuss the book.

Generalized Additive Models for Location, Scale and Shape

Generalized Additive Models for Location, Scale and Shape PDF Author: Mikis D. Stasinopoulos
Publisher: Cambridge University Press
ISBN: 1009410067
Category : Mathematics
Languages : en
Pages : 307

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Book Description
A comprehensive presentation of generalized additive models for location, scale and shape linking methods with diverse applications.

BMDP Statistical Software Manual

BMDP Statistical Software Manual PDF Author: Wilfrid Joseph Dixon
Publisher: Univ of California Press
ISBN: 9780520071131
Category : Mathematics
Languages : en
Pages : 784

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Book Description