| 書目名稱 | Vector Calculus in Regional Development Analysis |
| 副標題 | Comparative Regional |
| 編輯 | Kesra Nermend |
| 視頻video | http://file.papertrans.cn/981/980830/980830.mp4 |
| 叢書名稱 | Contributions to Economics |
| 圖書封面 |  |
| 描述 | Methods used for regional development analysis are employed mainly to make forecasts and comparisons. Forecasting models of various types (e.g. econometric models) are usually used for forecasting. Recently, vector-autoregressive models (VAR) have become popular. These models were proposed by Sims in 1980. On the contrary, taxonomic methods (that are in the center of attention as far as the present publication is concerned) are most often employed to make comparisons. Linear ordering methods, including standard methods, are the most popular among ta- nomic methods. They are based on different distance and similarity measures, which leads to the fact that they do not always provide reliable information. When, for example, one construes the standard for a base year and then compares it with data for other years, it may turn out that the measure determined will have worse values than the standard for a real object (region, micro region) although this object is better from the standard. Hence, one must look for new methods employed in regional development analysis or improve hitherto existing ones in such a way so that information obtained re?ects the reality to a larger extent. The ma |
| 出版日期 | Book 2009 |
| 關(guān)鍵詞 | Ranking of Economic Objects; Taxonomic Methods; Vector Calculus; calculus; regional development |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-7908-2179-6 |
| isbn_softcover | 978-3-7908-2583-1 |
| isbn_ebook | 978-3-7908-2179-6Series ISSN 1431-1933 Series E-ISSN 2197-7178 |
| issn_series | 1431-1933 |
| copyright | Physica-Verlag Heidelberg 2009 |
|Archiver|手機版|小黑屋|
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