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Spatial Regression Models for the Social Sciences

Focusing on the methods that are commonly used by social scientists, this text introduces the regression methods for analysing spatial data.;

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Spatial Regression Models

Demonstrating the use of spatial analysis in the social sciences within a regression framework, the second edition of this text employs;

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Spatial Analysis for the Social Sciences

for the Social Sciences demonstrates how researchers can diagnose and model this spatial dependence and draw more valid inferences as a result;

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Spatial Analysis for the Social Sciences

for the Social Sciences demonstrates how researchers can diagnose and model this spatial dependence and draw more valid inferences as a result;

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Spatial Analysis Methods and Practice

analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.;

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Spatial Analysis Methods and Practice

analyzing geospatial data through a spatial analysis lens, including those using GIS in the environmental sciences, geography, and social sciences.;

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Spatial Regression Analysis Using Eigenvector Spatial Filtering

Spatial Regression Analysis Using Eigenvector Spatial Filtering provides theoretical foundations and guides practical implementation;

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Quantile Regression

connections between this increasingly sought-after tool and research topics in the social sciences. Quantile regression as a method does not rely on;

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Spatial Regression Models

Assuming no prior knowledge this book is geared toward social science readers, unlike other volumes on this topic. The text illustrates;

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Introduction to Spatial Econometrics

methods, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The;

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Introduction to Spatial Econometrics

, they help with the interpretation of spatial regression models, especially ones that include spatial lags of the dependent variable. The;

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Time Series Analysis for the Social Sciences

Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties;

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Spatial Statistics

), variogram, kriging, spatial auto-regression, binary classification trees, cokriging, and geospatial models for presence and absence data;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

) approach for modeling continuous spatial processes with a Matern covariance, which has been implemented using the integrated nested Laplace;

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Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA

) approach for modeling continuous spatial processes with a Matern covariance, which has been implemented using the integrated nested Laplace;

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Spatial Statistics

Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the;

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Regression With Social Data

An accessible introduction to the use of regression analysis in the social sciences Regression with Social Data: Modeling Continuous and;

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Advances in Spatial Econometrics

tests and estimators for spatial regression models, including discrete choice and simultaneous equation models. The performance of techniques;

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Statistical Models For Causal Analysis

This volume provides an overview of statistical models commonly used in the causal analyses of non-experimental data in the social and;

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Regression: Models, Methods and Applications

regression that closes the gap between theory and application. The most important models and methods in regression are presented on a solid formal;

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Statistical Methods for Spatial Data Analysis

analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that;

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Statistical Methods for Spatial Data Analysis

analytical tools designed explicitly for spatial data analysis. Statistical Methods for Spatial Data Analysis answers the demand for a text that;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Regression Analysis for the Social Sciences

Provides graduate students in the social sciences with the basic skills they need to estimate, interpret, present, and publish basic;

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Logistic Regression

regression model Helps readers make decisions about the criteria for evaluating logistic regression models through detailed coverage of how to;

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Capture-Recapture Methods for the Social and Medical Sciences

users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments;

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Capture-Recapture Methods for the Social and Medical Sciences

users, or people with a drinking problem. Capture-Recapture Methods for the Social and Medical Sciences brings together important developments;

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