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Showing 1 - 3 of 3 matches in All Departments
Revised and updated with the latest results, this Third Edition explores the theory and applications of linear models. The authors present a unified theory of inference from linear models and its generalizations with minimal assumptions. They not only use least squares theory, but also alternative methods of estimation and testing based on convex loss functions and general estimating equations. Highlights of coverage include sensitivity analysis and model selection, an analysis of incomplete data, an analysis of categorical data based on a unified presentation of generalized linear models, and an extensive appendix on matrix theory.
This book explores how migrants and refugees can revitalise peripheral regions and communities economically. The extent to which migrants stimulate the economic activities of these regions through labour market participation, entrepreneurship, innovation and consumption is examined theoretically and empirically for the EU as a whole, as well as through empirical case studies that highlight the impact of migration at macro, company, and individual levels. A particular focus is given to the economic consequences of Third Country Nationals to places beyond the cities, i.e. the peripheral and remote regions of Europe. This book aims to provide insight into the role of migrations in low productive and labour-intensive regions. The authors provide innovative policy recommendations to stimulate the positive economic consequences of immigration to places beyond the cities. It will be of interest to students, researchers, and policymakers working within labour economics and migration and integration policies.
Statistische Verfahren werden in der Medizin und in allen Naturwissenschaften, in der Wirtschaft, in der Technik und zunehmend auch in den Sozial- und Geisteswissenschaften eingesetzt. Die Statistik gilt trotzdem als schwierig. Um diese Hemmschwelle zu uberwinden, geben die Autoren in dem vorliegenden Buch eine anwendungsorientierte Einfuhrung in die Methoden der induktiven Statistik und Datenanalyse. Sie beschreiben anhand praxisnaher Beispiele die Ideen und Werkzeuge des modernen statistischen Datenmanagements. Der Leser kann mittels der vielen Ubungsaufgaben sein Wissen vertiefen, wobei die Musterlosungen ihm zeigen, wie eine Ubung gelost werden konnte. Sowohl die Statistik-Software SPSS als auch als Neuerung - die Programmiersprache R kommen in diesem Buch zum Einsatz. Das Buch beinhaltet ferner eine Einfuhrung zur Problematik fehlender Daten. Diese Erweiterung ist einmalig fur ein deutschsprachiges Lehrbuch der Statistik."
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