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Titlebook: Welfare State Transformations; Comparative Perspect Martin Seeleib-Kaiser Book 2008 Palgrave Macmillan, a division of Macmillan Publishers

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書目名稱Welfare State Transformations
副標(biāo)題Comparative Perspect
編輯Martin Seeleib-Kaiser
視頻videohttp://file.papertrans.cn/1027/1026865/1026865.mp4
圖書封面Titlebook: Welfare State Transformations; Comparative Perspect Martin Seeleib-Kaiser Book 2008 Palgrave Macmillan, a division of Macmillan Publishers
描述This edited volume provides?new empirical evidence of far-reaching?changes to welfare states globally, which?have changed the boundaries of the ‘public‘ and ‘private‘ domain within the mixed economies of welfare. Various modes of policy intervention are investigated, providing a nuanced account of reforms in the past decade.
出版日期Book 2008
關(guān)鍵詞Nation; OECD; transformation; unemployment
版次1
doihttps://doi.org/10.1057/9780230227392
isbn_softcover978-0-230-32177-9
isbn_ebook978-0-230-22739-2
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2008
The information of publication is updating

書目名稱Welfare State Transformations影響因子(影響力)




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the ‘public‘ and ‘private‘ domain within the mixed economies of welfare. Various modes of policy intervention are investigated, providing a nuanced account of reforms in the past decade.978-0-230-32177-9978-0-230-22739-2
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the ‘public‘ and ‘private‘ domain within the mixed economies of welfare. Various modes of policy intervention are investigated, providing a nuanced account of reforms in the past decade.978-0-230-32177-9978-0-230-22739-2
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Characterization and Monitoring of an Unstable Rock Face by Microseismic Methods,in mountain areas. There is an increasing demand to forecast and mitigate the potential damage of rockfalls by developing a reliable early warning system. In this thesis, an unstable mountain slope in northern Italy was selected as the research target. A microseismic monitoring network has been oper
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Extension III: Variational Margin Settings within Local Data in Support Vector Regression,ion of the Support Vector Regression (SVR) which also includes the local information of data for a specific application, i. e. financial engineering. Both these models are motivated from the local viewpoint of data.
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