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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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A comprehensive introduction to a wide variety of univariate and multivariate smoothing techniques for regressionSmoothing and Regression: Approaches, Computation, and Application bridges the many gaps that exist among competing univariate and multivariate smoothing techniques. It introduces, describes, and in some cases compares a large number of the latest and most advanced techniques for regression modeling. Unlike many other volumes on this topic, which are highly technical and specialized, this book discusses all methods in light of both computational efficiency and their applicability for real data analysis.Using examples of applications from the biosciences, environmental sciences, engineering, and economics, as well as medical research and marketing, this volume addresses the theory, computation, and application of each approach. A number of the techniques discussed, such as smoothing under shape restrictions or of dependent data, are presented for the first time in book form. Special features of this book include:* Comprehensive coverage of smoothing and regression with software hints and applications from a wide variety of disciplines* A unified, easy-to-follow format* Contributions from more than 25 leading researchers from around the world* More than 150 illustrations also covering new graphical techniques important for exploratory data analysis and visualization of high-dimensional problems* Extensive end-of-chapter referencesFor professionals and aspiring professionals in statistics, applied mathematics, computer science, and econometrics, as well as for researchers in the applied and social sciences, Smoothing and Regression is a unique and important new resource destined to become one the most frequently consulted references in the field.

Mathematical statistics --- 519.234 --- Smoothing (Statistics) --- Nonparametric statistics --- Regression analysis --- Analysis, Regression --- Linear regression --- Regression modeling --- Multivariate analysis --- Structural equation modeling --- Distribution-free statistics --- Statistics, Distribution-free --- Statistics, Nonparametric --- Curve fitting --- Graduation (Statistics) --- Roundoff errors --- Statistics --- Non-parametric methods --- Nonparametric statistics. --- Regression analysis. --- Smoothing (Statistics). --- 519.234 Non-parametric methods

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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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Ensuring the sustainability of early stage companies and increasing awareness of the need for balancing targets against different stakeholder groups among young companies are not well developed. Young companies, in the first place, want to achieve financial success very often without regard for aspects such as the environment, positive relationships with employees, suppliers or other stakeholder groups, fulfilling requirements of labor law, etc. Another issue is that of companies whose business models are based on actuarially-preferred concepts, such as sharing economy, sustainable development, e-comers, e-commerce, renewable energy, social media, and others. A key issue is the resignation of companies from an approach to business, based on the foundations of classical economics to the sharing economy. Theory and practice seek new solutions in the sphere of value sharing in these new areas of sharing, and innovative forms of its implementation. Intriguing is the relationship of these business models with sustainability issues, as well as wondering how technology can influence sustainability. A contemporary approach to consumer value fits in with the assumption of a shared economy. It is interesting how it affects the assumptions of sustainability of business. The ongoing changes in the value system of potential consumers create new conditions for the design of sustainability business models and creation of innovation.

social enterprise --- entrepreneurship-specific human capital --- social capital --- young companies --- value capture --- sustainable enterprises --- digitalization --- corporate social responsibility --- value creation --- start-ups --- medical device industry --- incubator --- data envelopment analysis --- China --- social value --- railway companies --- network involvement --- creativity --- value migration --- role breadth self-efficacy --- business model --- Korea --- tenants’ graduation --- efficiency --- socially responsible human resource management --- mutual support --- social enterprises --- performance evaluation --- sustainability development --- opportunity recognition and evaluation --- young firms --- job performance --- social climate --- success factor --- sustainable business model innovation --- social aspects --- green human resource management --- medical device start-ups --- product innovation --- digital economy --- analytical hierarchy process --- sustainable business model --- coworking space --- incubation services