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Titlebook: Spezielle validierende Pflege; Brigitte Scharb Book Nov 20053rd edition Springer-Verlag Vienna 2005 Altenpflege.Alter.Alzheimer.Biographie

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xamples presented in the book, and the functional datasets....Rather than set application against theory, this book is really an interface of these two features of statistics. A special effort has been made in writing this book to accommodate several levels of reading. The computational aspects are
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e North Atlantic Treaty Organization (NATO). The ASI was held on the Greek Island of Spetses between July 29 and August 10, 1990. Nonparametric functional estimation is a central topic in statistics, with applications in numerous substantive fields in mathematics, natural and social sciences, engine
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were often within the window of acceptable values. The restorations obtained by minimising the estimation and prediction errors, respectively, were of a similar quality which suggests that the choice of error criterion is not a practical issue for the restoration of large degraded images.
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d methods have been termed ‘geostatistics’. However, it has been shown in this volume that there is a quite different possible approach to the same problems in spatial data analysis, using some of the ideas of .parametric statistics, and it has been suggested that a distinction should be drawn betwe
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d methods have been termed ‘geostatistics’. However, it has been shown in this volume that there is a quite different possible approach to the same problems in spatial data analysis, using some of the ideas of .parametric statistics, and it has been suggested that a distinction should be drawn betwe
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ll these problems. These methods have accompanied the rapid growth in data beginning from the middle of our century. According to a tradition of more than thirty years, we call this sphere of statistical analysis the "theory of change-point detection. " During the last fifteen years, we have witness
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semiparametric regression models, multivariate regression models, varying-coefficient models with longitudinal data, heteroscedasticity, and homogeneity of covariance matrices. This book will be of interest to both practitioners and researchers investigating goodness-of-fit tests and resampling app
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