Yuichi Mori - Böcker
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6 produkter
6 produkter
689 kr
Skickas inom 10-15 vardagar
Die Zuwanderungspolitik der letzten Jahrzehnte ist eine Politik des gebremsten Erfolges. Immer weniger Migranten stehen dem Arbeitsmarkt aktiv zur Verfügung. Falsche Arbeitsmarktanreize spielen dabei eine wichtige Rolle. Eine kritische Bilanz von Erfolgen und Misserfolgen der Arbeitsmarktintegration von Zuwanderern ist notwendig, um Kurskorrekturen vornehmen zu können. Praktisches Handeln erfordert Kenntnisse über Wirkungsbedingungen politischer Maßnahmen. Diese Kenntnisse vermittelt das vorliegende Buch in Form eines Vergleichs der ökonomischen Integration von Migranten in Dänemark und Deutschland. Auf Basis eigener Datenerhebungen werden das Bildungs- und Ausbildungsverhalten, wichtige Beschäftigungstrends und die Selbständigkeit von Zuwanderern sowie die Auswirkungen der sozialen Sicherungssysteme auf die Arbeitsmarktpartizipation untersucht. Darüber hinaus unterzieht der Band das neue deutsche Zuwanderungsgesetz einer kritischen Würdigung.
1 064 kr
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Covers a wide range of statistical methods that are of interest to scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics.
1 064 kr
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Biostatistics is one of the scientific fields for which the recent developments have been extremely important. It is also strongly related to other scientific disciplines involving statistical methodology. The aim of this book is to cover a wide scope of recent statistical methods used by scientists in biostatistics as well as in other related fields such as chemometrics, environmetrics and geophysics.The contributed papers, coming from internationally recognized researchers, present various statistical methodologies together with a selected scope of their main mathematical properties and their applications in real case studies, making this book of interest to a wide audience among researchers and students in statistics.Each method is accompanied with interactive and automatic Xplore routines, available on-line, allowing people to reproduce the proposed examples or to apply the methods to their own real datasets. Thus this book will also be of special interest to practitioners.
3 713 kr
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The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics.
3 713 kr
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The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
641 kr
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This book expounds the principle and related applications of nonlinear principal component analysis (PCA), which is useful method to analyze mixed measurement levels data.