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A Primer for Spatial Econometrics With Applications in R, STATA and Python, 2nd Edition - Giuseppe Arbia 2024 PDF Palgrave Macmillan BOOKS
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A Primer for Spatial Econometrics With Applications in R, STATA and Python, 2nd Edition
Author: Giuseppe Arbia
Year: 2024
Format: PDF
File size: 13.6 MB
Language: ENG



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Giles, James P. LeSage, and Shawn J. Riley. A Primer for Spatial Econometrics With Applications in R STATA and Python 2nd Edition In today's rapidly changing world, it is essential to understand the process of technological evolution and its impact on society. The second edition of "A Primer for Spatial Econometrics With Applications in R STATA and Python" provides a comprehensive guide to spatial econometrics, highlighting its significance in understanding the technological advancements that shape our world. This book offers an in-depth analysis of the tools and techniques used in spatial econometrics, enabling readers to grasp the complexities of this field and apply them in real-world scenarios. The authors, David A. Giles, James P. LeSage, and Shawn J. Riley, are renowned experts in their respective fields, bringing together their expertise to provide a well-rounded perspective on spatial econometrics.
Giles, James P. Sage, and Shawn J. Riley. Учебник по пространственной эконометрике с приложениями в R STATA и Python 2nd Edition В современном быстро меняющемся мире важно понимать процесс технологической эволюции и ее влияние на общество. Второе издание «A Primer for Spatial Econometrics With Applications in R STATA and Python» предоставляет всеобъемлющее руководство по пространственной эконометрике, подчеркивая ее значение в понимании технологических достижений, которые формируют наш мир. Эта книга предлагает глубокий анализ инструментов и методов, используемых в пространственной эконометрике, позволяя читателям понять сложности этой области и применить их в реальных сценариях. Авторы, David A. Giles, James P. Sage и Shawn J. Riley, являются известными экспертами в своих областях, объединяя свой опыт, чтобы обеспечить всесторонний взгляд на пространственную эконометрику.
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