Spatial regression models for the social sciences (Record no. 397888)

MARC details
000 -LEADER
fixed length control field 03549aam a2200229 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190924b2020 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781544302072
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.53
Item number C4S7
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chi, Guangqing
9 (RLIN) 385541
245 ## - TITLE STATEMENT
Title Spatial regression models for the social sciences
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Sage Publications
Date of publication, distribution, etc. 2020
Place of publication, distribution, etc. New Delhi
300 ## - PHYSICAL DESCRIPTION
Extent 243 p.
Other physical details Includes bibliographical references and index
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Advanced quantitative techniques in the social sciences series
9 (RLIN) 385542
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Table of Content<br/><br/>Series Editor’s Introduction<br/> <br/>Preface<br/> <br/>Acknowledgments<br/> <br/>About the Authors<br/> Chapter 1: Introduction <br/>Learning Objectives <br/>1.1 Spatial Thinking in the Social Sciences <br/>1.2 Introduction to Spatial Effects <br/>1.3 Introduction to the Data Example <br/>1.4 Structure of the Book <br/>Study Questions Chapter 2: Exploratory Spatial Data Analysis <br/>Learning Objectives <br/>2.1 Exploratory Data Analysis <br/>2.2 Neighborhood Structure and Spatial Weight Matrix <br/>2.3 Spatial Autocorrelation, Dependence, and Heterogeneity <br/>2.4 Exploratory Spatial Data Analysis <br/>Study Questions Chapter 3: Models Dealing With Spatial Dependence <br/>Learning Objectives <br/>3.1 Standard Linear Regression and Diagnostics for Spatial Dependence <br/>3.2 Spatial Lag Models <br/>3.3 Spatial Error Models <br/>Study Questions Chapter 4: Advanced Models Dealing With Spatial Dependence <br/>Learning Objectives <br/>4.1 Spatial Error Models With Spatially Lagged Responses <br/>4.2 Spatial Cross-Regressive Models <br/>4.3 Multilevel Linear Regression <br/>Study Questions Chapter 5: Models Dealing With Spatial Heterogeneity <br/>Learning Objectives <br/>5.1 Aspatial Regression Methods <br/>5.2 Spatial Regime Models <br/>5.3 Geographically Weighted Regression <br/>Study Questions Chapter 6: Models Dealing With Both Spatial Dependence and Spatial Heterogeneity <br/>Learning Objectives <br/>6.1 Spatial Regime Lag Models <br/>6.2 Spatial Regime Error Models <br/>6.3 Spatial Regime Error and Lag Models <br/>6.4 Model Fitting <br/>6.5 Data Example <br/>Study Questions Chapter 7: Advanced Spatial Regression Models <br/>Learning Objectives <br/>7.1 Spatio-temporal Regression Models <br/>7.2 Spatial Regression Forecasting Models <br/>7.3 Geographically Weighted Regression for Forecasting <br/>Study Questions Chapter 8: Practical Considerations for Spatial Data Analysis <br/>Learning Objectives <br/>8.1 Data Example of U.S. Poverty in R <br/>8.2 General Procedure for Spatial Social Data Analysis <br/>Study Questions <br/>Appendix A: Spatial Data Sources<br/> <br/>Appendix B: Results Using Forty Spatial Weight Matrices available on the website at study.sagepub.com/researchmethods/quantitative-statistical-research/chi<br/> <br/>Glossary<br/> <br/>References<br/> <br/>Index
520 ## - SUMMARY, ETC.
Summary, etc. Spatial Regression Models for the Social Sciences shows researchers and students how to work with spatial data without the need for advanced mathematical statistics. Focusing on the methods that are commonly used by social scientists, Guangqing Chi and Jun Zhu explain what each method is and when and how to apply it by connecting it to social science research topics. Throughout the book they use the same social science example to demonstrate applications of each method and what the results can tell us. <br/><br/>https://us.sagepub.com/en-us/nam/spatial-regression-models-for-the-social-sciences/book258546
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Social sciences - Statistical methods
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spatial analysis - Statistics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spatial Regression
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spatial data
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zhu, Jun
Relator term Co author
9 (RLIN) 385547
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Non-fiction Ahmedabad Ahmedabad General Stacks 27/09/2019 12 4.00 1 519.53 C4S7 200156 09/01/2020 24/12/2019 5229.00 27/09/2019 Book

Powered by Koha