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Titlebook: Quantile Regression for Spatial Data; Daniel P. McMillen Book 2013 The Author(s) 2013 Locally Weighted Regression.Nonparametric.Quantile R

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發(fā)表于 2025-3-21 17:29:48 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Quantile Regression for Spatial Data
編輯Daniel P. McMillen
視頻videohttp://file.papertrans.cn/781/780775/780775.mp4
概述Emphasis on graphical interpretation of quantile regression results.Presents estimators designed specifically for the analysis of spatial data.Includes both parametric and nonparametric approaches.Inc
叢書名稱SpringerBriefs in Regional Science
圖書封面Titlebook: Quantile Regression for Spatial Data; Daniel P. McMillen Book 2013 The Author(s) 2013 Locally Weighted Regression.Nonparametric.Quantile R
描述Quantile regression analysis differs from more conventional regression models in its emphasis on distributions. Whereas standard regression procedures show how the expected value of the dependent variable responds to a change in an explanatory variable, quantile regressions imply predicted changes for the entire distribution of the dependent variable. Despite its advantages, quantile regression is still not commonly used in the analysis of spatial data. The objective of this book is to make quantile regression procedures more accessible for researchers working with spatial data sets. The emphasis is on interpretation of quantile regression results. A series of examples using both simulated and actual data sets shows how readily seemingly complex quantile regression results can be interpreted with sets of well-constructed graphs. Both parametric and nonparametric versions of spatial models are considered in detail.
出版日期Book 2013
關(guān)鍵詞Locally Weighted Regression; Nonparametric; Quantile Regression; Spatial Econometrics
版次1
doihttps://doi.org/10.1007/978-3-642-31815-3
isbn_softcover978-3-642-31814-6
isbn_ebook978-3-642-31815-3Series ISSN 2192-0427 Series E-ISSN 2192-0435
issn_series 2192-0427
copyrightThe Author(s) 2013
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Daniel P. McMillena rapid increase in expenditures for the social security system. This development has given rise to the question concerning the relation between the demographic development of a country and the development of its social system. In order to determine in which ways demographic developments can influen
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Daniel P. McMillenics of current economic discussion. The issue has gained considerable political and practical importance because of the various efforts being made among both the developed and the under-developed countries to work out new patterns of market alignment. This paper concentrates attention upon the analy
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Daniel P. McMillenr the war, the need to overcome the limitations of the domestic market is being sharply emphasized by the constant advance of modern production techniques and by the fact that other countries are favoured, when competing with Italy, by the large size of their domestic markets. Such limitations are n
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unexpected one — to the question: ‘How is a nation’s stability related to its size?’ Comparing the record for the period beginning in the 1920s and ending in 1952 (with the war years and those immediately following omitted) for the United Kingdom, Germany, France, Sweden, and the United States, we f
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