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Titlebook: Spatial Econometrics; Statistical Foundati Giuseppe Arbia Book 2006 Springer-Verlag Berlin Heidelberg 2006 Analysis.Economic Geography.Regi

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發(fā)表于 2025-3-21 18:40:42 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Spatial Econometrics
副標(biāo)題Statistical Foundati
編輯Giuseppe Arbia
視頻videohttp://file.papertrans.cn/874/873482/873482.mp4
概述Statistical approach to spatial econometrics.Easily accessible to people with low statistical background.Didactic approach motivating the readers with examples and real data analysis.Includes suppleme
叢書名稱Advances in Spatial Science
圖書封面Titlebook: Spatial Econometrics; Statistical Foundati Giuseppe Arbia Book 2006 Springer-Verlag Berlin Heidelberg 2006 Analysis.Economic Geography.Regi
描述In recent years the so-called new economic geography and the issue of regional economic convergence have increasingly drawn the interest of economists to the empirical analysis of regional and spatial data. However, even if the methodology for econometric treatment of spatial data is well developed, there does not exist a textbook theoretically grounded, well motivated and easily accessible to eco- mists who are not specialists. Spatial econometric techniques receive little or no attention in the major econometric textbooks. Very occasionally the standard econometric textbooks devote a few paragraphs to the subject, but most of them simply ignore the subject. On the other hand spatial econometric books (such as Anselin, 1988 or Anselin, Florax and Rey, 2004) provide comprehensive and - haustive treatments of the topic, but are not always easily accessible for people whose main degree is not in quantitative economics or statistics. This book aims at bridging the gap between economic theory and spatial stat- tical methods. It starts by strongly motivating the reader towards the problem with examples based on real data, then provides a rigorous treatment, founded on s- chastic fields
出版日期Book 2006
關(guān)鍵詞Analysis; Economic Geography; Regional Convergence; Spatial Econometrics; Spatial Statistics; econometric
版次1
doihttps://doi.org/10.1007/3-540-32305-8
isbn_softcover978-3-642-06884-3
isbn_ebook978-3-540-32305-1Series ISSN 1430-9602 Series E-ISSN 2197-9375
issn_series 1430-9602
copyrightSpringer-Verlag Berlin Heidelberg 2006
The information of publication is updating

書目名稱Spatial Econometrics影響因子(影響力)




書目名稱Spatial Econometrics影響因子(影響力)學(xué)科排名




書目名稱Spatial Econometrics網(wǎng)絡(luò)公開度




書目名稱Spatial Econometrics網(wǎng)絡(luò)公開度學(xué)科排名




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https://doi.org/10.1007/3-540-32305-8Analysis; Economic Geography; Regional Convergence; Spatial Econometrics; Spatial Statistics; econometric
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Book 2006 to the empirical analysis of regional and spatial data. However, even if the methodology for econometric treatment of spatial data is well developed, there does not exist a textbook theoretically grounded, well motivated and easily accessible to eco- mists who are not specialists. Spatial econometr
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ted using one-dimensional subsequences, and a convolutional neural network is trained to obtain a classification model. The model uses a sliding window to recognize subsequences and performs pruning processing, improving data quality and solving the problem of persistent model training time and inab
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inally, the response time of the engineering example is tested by the response time automatic test device, a large amount of data with statistical significance is obtained. After the data is processed, the range, frequency and probability density fitting curve of the response time are obtained. By c
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