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Titlebook: New Challenges for European Resource Management; Chris Brewster (Director of the Centre for Interna Book 2000 Palgrave Macmillan, a divisi

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發(fā)表于 2025-3-21 18:38:29 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)New Challenges for European Resource Management
編輯Chris Brewster (Director of the Centre for Interna
視頻videohttp://file.papertrans.cn/665/664893/664893.mp4
圖書(shū)封面Titlebook: New Challenges for European Resource Management;  Chris Brewster (Director of the Centre for Interna Book 2000 Palgrave Macmillan, a divisi
描述This book breaks new ground in human resource management through focusing on specific themes written by a range of European experts drawing on a common survey. As such it is a major progression from previous texts that lack a coherent, cross-national database. Representing a truly collaborative European project, it includes themes such as flexibility, training and development, industrial relations, regional aspects and the problems of organising and undertaking comparative human resource management research.
出版日期Book 2000
關(guān)鍵詞HRM; human resource management; management
版次1
doihttps://doi.org/10.1057/9780230597952
isbn_ebook978-0-230-59795-2
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2000
The information of publication is updating

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ystem. In this work, treed Gaussian process models are investigated for dealing with non-stationarities and compared to the usual modeling approach. The method is developed for and applied to the specific physical problem of the optimization of 1D magnetic linear position detection.
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Wolfgang Mayrhofer,Chris Brewster,Michael Morley random walks was studied analytically in detail by many authors. Simulation of branching random walks is applied for numerical estimation of a threshold value of the parameter on limited time intervals. Obtained results are used to define strategies that may delay a cell population progression to s
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ystem. In this work, treed Gaussian process models are investigated for dealing with non-stationarities and compared to the usual modeling approach. The method is developed for and applied to the specific physical problem of the optimization of 1D magnetic linear position detection.
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Ricard Serlavós,Mireia Aparicio-Valverdecontinue to fall, though not as sharply as with non-government sample surveys. Other sources of data (e.g., administrative records, big data, commercial data) to measure human behavior and condition are being investigated for increased use in production of official statistics. Though there are techn
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Dirk Buyens,Tine Vandenbossche,Ans De Vosinclude: .-Proportions and Densities.-Error Ranges for Medians.-Resampling Approaches.-Residuals from Regression.-Point Sampling.-Multivariate Analysis.-Similarity Measures.-Multidimensional Scaling.-Principal Components Analysis.-Cluster Analysis..Those already familiar with the clear and useful fo
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