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Estimation of Spatial Panels

well as dynamic models. Estimation of Spatial Panels provides some recent developments on the specification and estimation of such models. The;

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Econometric Analysis of Panal Data

techniques from a key author in this field. Updated topics include dynamic panels, limited dependent variable panel data models, spatial panels, GMM;

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A Companion to Econometric Analysis of Panel Data

basic material on fixed and random effects models in a one-way and two-way error components models: basic estimation, test of hypotheses and;

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Spatial Econometrics

This book provides an overview of three generations of spatial econometric models: models based on cross-sectional data, static models;

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Estimation and Prediction for Certain Models of Spatial Time Series

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Estimation and Prediction for Certain Models of Spatial Time Series

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Spatial Econometrics and Spatial Statistics

The field of spatial econometrics has come to include the methods and models that deal with estimation and testing problems encountered;

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Spatial Econometrics and Spatial Statistics

The field of spatial econometrics has come to include the methods and models that deal with estimation and testing problems encountered;

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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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Introduction to Spatial Econometrics

likelihood and Bayesian estimation, various types of spatial regression specifications, and applied modeling situations involving different;

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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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Nonstationary Panels, Panel Cointegration, and Dynamic Panels

regressions and panel cointegration tests. In addition, it provides recent developments in the estimation of dynamic panel data models using;

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Advances in Spatial Econometrics

World-renowned experts in spatial statistics and spatial econometrics present the latest advances in specification and estimation;

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Spatial Econometrics

concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as;

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Spatial Econometrics

concerned with the relevance of spatial effects on model specification, estimation and other inference, in what I caIl a model-driven approach, as;

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Regional Resilience to Climate and Environmental Shocks

for spatial analysis in the study of economic resilience, the book introduces spatial econometric models, their estimation and testing;

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Spatial Econometrics

length include spatial regression models, weighting matrices, estimation procedures and the complications associated with their use. The work;

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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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Classical and Modern Direction-of-Arrival Estimation

Spatial time-frequency distributions for DOA estimationDOA estimation in threshold regionHigher order statistics for;

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Some Applications of Modern Statistical Techniques

. This book explores some aspects of the enhancement of methods for estimation of genetic parameters and effects in forest trees. The project;

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Art of the Ancestors

spatial and temporal structure of complex rock art panels. Focusing on the ceiling art at Nawarla Gabarnmang, one of the richest rock art sites;

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Space and Time in German Innovative Activity

. Techniques as kernel density estimation and geoadditive modeling allow gaining insights into the allocation of innovation economics. On the;

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Polymer Yearbook - 2011

physics and quantum calculations. Such an approach allows for quantitative estimation and physical treatment of oligomers, polymers and composites;

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Multifractals

, time series, and spatial point patterns. With its careful yet practical blend of multifractals, estimation methods, and case studies;

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Introduction to Geostatistics

. Introduction to Geostatistics presents practical techniques for the estimation of spatial functions from sparse data. The author's unique approach is a;

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Archaeological Survey

- furnishing a comprehensive treatment of prospection, parameter estimation, model building, and detection of spatial structure.;

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Statistical Methods for Spatial Data Analysis

supporting random fields; the analysis of mapped spatial point patterns; estimation and modeling of the covariance function and semivariogram; a;

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