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Baccalaureate addresses --- Medicine. --- Discours de remise des diplômes --- Médecine. --- McGill University. --- Baccalaureate sermons --- Commencement addresses --- Graduation sermons --- Occasional speeches --- Universities and colleges --- Health Workforce

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The data report presents the structural development of educational science and is commissioned every four years by Deutsche Gesellschaft für Erziehungswissenschaft (DGfE). The publication aims to inform the field-specialized public, education and higher education politics as well as the public about current developments in educational science as one of the largest fields at German universities. Particular attention is paid to study programs, students, degrees, human resources, research achievements and the promotion of young talents. The data report provides basic information on how educational science develops under the influence of recent changes and identifies the need for action in terms of the political field as well as higher education and education policy. Relevant information in the data report - for example on students, degrees and academic careers - is differentiated by gender. The DGfE thus fulfills its own claim to support gender equality. The data report is of particular importance for current discussions about securing training capacities for professional pedagogical professions and about academic careers. Der Datenreport ist eine regelmäßig alle vier Jahre von der Deutschen Gesellschaft für Erziehungswissenschaft (DGfE) in Auftrag gegebene Darstellung struktureller Entwicklungen der Erziehungswissenschaft. Er informiert die Fachöffentlichkeit, die Bildungs- und Hochschulpolitik sowie die Öffentlichkeit über Trends und den jeweils erreichten Entwicklungsstand der Erziehungswissenschaft als eines der größten Fächer an deutschen Hochschulen. Besonderes Augenmerk liegt auf den Indikatoren zu Studiengängen, Studienabschlüssen, Personal, Forschungsleistungen und Nachwuchsförderung.

Absolventen --- Bildungspolitik --- degree courses --- Dissertation --- doctorate --- educational policy --- educational science --- graduates --- graduation --- Habilitation --- job market --- Lehrerbildung --- Lehrerinnenbildung --- Nachwuchsförderung --- Personal --- personnel --- PhD --- promotion of young talents --- Promotion --- publication culture --- Publikationskultur --- science research --- Stellenmarkt --- Studienabschlüsse --- Studiengänge --- teacher education --- teacher training --- transitions --- Wissenschaftsforschung --- Übergänge --- education and higher education politics

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The The primary primary aim aim of of this this book book is is to to explore explore the the use use of of nonparametric nonparametric regres­ regres­ sion sion (i. e. , (i. e. , smoothing) smoothing) methodology methodology in in testing testing the the fit fit of of parametric parametric regression regression models. models. It It is is anticipated anticipated that that the the book book will will be be of of interest interest to to an an audience audience of of graduate graduate students, students, researchers researchers and and practitioners practitioners who who study study or or use use smooth­ smooth­ ing ing methodology. methodology. Chapters Chapters 2-4 2-4 serve serve as as a a general general introduction introduction to to smoothing smoothing in in the the case case of of a a single single design design variable. variable. The The emphasis emphasis in in these these chapters chapters is is on on estimation estimation of of regression regression curves, curves, with with hardly hardly any any mention mention of of the the lack-of­ lack-of­ fit fit problem. problem. As As such, such, Chapters Chapters 2-4 2-4 could could be be used used as as the the foundation foundation of of a a graduate graduate level level statistics statistics course course on on nonparametric nonparametric regression. regression.

Mathematical statistics --- Smoothing (Statistics) --- Nonparametric statistics. --- Goodness-of-fit tests. --- Lissage (Statistique) --- Statistique non-paramétrique --- Goodness-of-fit tests --- Nonparametric statistics --- 519.2 --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Tests, Goodness-of-fit --- Statistical hypothesis testing --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Statistique non-paramétrique --- Applied mathematics. --- Engineering mathematics. --- Applications of Mathematics. --- Engineering --- Engineering analysis --- Mathematical analysis --- Mathematics

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This is the first book to provide an accessible and comprehensive introduction to a newly developed smoothing technique using asymmetric kernel functions. Further, it discusses the statistical properties of estimators and test statistics using asymmetric kernels. The topics addressed include the bias-variance tradeoff, smoothing parameter choices, achieving rate improvements with bias reduction techniques, and estimation with weakly dependent data. Further, the large- and finite-sample properties of estimators and test statistics smoothed by asymmetric kernels are compared with those smoothed by symmetric kernels. Lastly, the book addresses the applications of asymmetric kernel estimation and testing to various forms of nonnegative economic and financial data. Until recently, the most popularly chosen nonparametric methods used symmetric kernel functions to estimate probability density functions of symmetric distributions with unbounded support. Yet many types of economic and financial data are nonnegative and violate the presumed conditions of conventional methods. Examples include incomes, wages, short-term interest rates, and insurance claims. Such observations are often concentrated near the boundary and have long tails with sparse data. Smoothing with asymmetric kernel functions has increasingly gained attention, because the approach successfully addresses the issues arising from distributions that have natural boundaries at the origin and heavy positive skewness. Offering an overview of recently developed kernel methods, complemented by intuitive explanations and mathematical proofs, this book is highly recommended to all readers seeking an in-depth and up-to-date guide to nonparametric estimation methods employing asymmetric kernel smoothing.

Statistics. --- Statistics for Business/Economics/Mathematical Finance/Insurance. --- Statistical Theory and Methods. --- Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. --- Statistics and Computing/Statistics Programs. --- Smoothing (Statistics) --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Mathematical statistics. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Statistics for Social Sciences, Humanities, Law. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Statistics .

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Business forecasting --- Smoothing (Statistics) --- Regression analysis --- Prévision commerciale --- Lissage (Statistique) --- Analyse de régression --- Statistical methods --- Méthodes statistiques --- Regression Analysis --- AA / International- internationaal --- 331.061 --- 304.5 --- 65.012.23 --- -Smoothing (Statistics) --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Business --- Business forecasts --- Forecasting, Business --- Business cycles --- Economic forecasting --- Economische vooruitzichten. --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie. --- Prediction of development. Business forecasting --- Forecasting --- 65.012.23 Prediction of development. Business forecasting --- Prévision commerciale --- Analyse de régression --- Méthodes statistiques --- Statistical methods. --- Techniek van de statistische-econometrische voorspellingen. Prognose in de econometrie --- Economische vooruitzichten --- Business forecasting - Statistical methods