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"Multivariate Data Analysis - in practice adopts a practical, non-mathematical approach to multivariate data analysis. The book's principal objective is to provide a conceptual framework for multivariate data analysis techniques, enabling the reader to apply these in his or her own field. Features: Focuses on the practical application of multivariate techniques such as PCA, PCR and PLS and experimental design. Non-mathematical approach - ideal for analysts with little or no background in statistics. Step by step introduction of new concepts and techniques promotes ease of learning. Theory supported by hands-on exercises based on real-world data. A full training copy of The Unscrambler (for W...
Aufgrund immer anspruchsvollerer Käufergruppen und gesättigter Märkte wird es für Unternehmen zunehmend schwieriger, die hohen Kundenerwartungen zu erfüllen und sich von der Konkurrenz zu differenzieren. Vor diesem Hintergrund gewinnen Guerilla-Taktiken wie die Positionierung von Pop-Up-Stores zunehmend an Bedeutung. Durch ihr temporäres Konzept an wechselnden Standorten erreichen sie eine große Zahl von Konsumenten und begeistern durch ihr kreatives Design und ihr erlebnisorientiertes Rahmenprogramm. Das Hauptanliegen des vorliegenden Buchs ist die Identifikation der Erfolgsfaktoren, die im Rahmen der Pop-Up-Store Planung eine Rolle spielen. Dazu erfolgt die Konzeptualisierung eines ...
A comprehensive overview of multivariate data and analysis Providing an introduction to the subject of multivariate data analysis without delving deeply into underlying theory and concepts, An Introduction to Multivariate Data is an excellent resource for undergraduate statistics courses as well as for professionals who require an understanding of statistical techniques for analyzing their own data sets. Focused on real-world application, the book includes sample exercises in each chapter to firmly cement the concepts covered. Exercises range from simple problems that can be solved by hand or with a calculator, while others require the use of computer-based statistical software.
Active blended learning (ABL) is a pedagogical approach that combines sensemaking activities with focused interactions in appropriate learning settings. ABL has become a great learning tool as it is easily accessible online, with digitally rich environments, close peer and tutor interactions, and accommodations per individual learner needs. It encompasses a variety of concepts, methods, and techniques, such as collaborative learning, experiential learning, problem-based learning, team-based learning, and flipped classrooms. ABL is a tool used by educators to develop learner autonomy, engaging students in knowledge construction, reflection, and critique. In the current educational climate, th...
Fluorescent Analogs of Biomolecular Building Blocks focuses on the design of fluorescent probes for the four major families of macromolecular building blocks. Compiling the expertise of multiple authors, this book moves from introductory chapters to an exploration of the design, synthesis, and implementation of new fluorescent analogues of biomolecular building blocks, including examples of small-molecule fluorophores and sensors that are part of biomolecular assemblies.
Using formal descriptions, graphical illustrations, practical examples, and R software tools, Introduction to Multivariate Statistical Analysis in Chemometrics presents simple yet thorough explanations of the most important multivariate statistical methods for analyzing chemical data. It includes discussions of various statistical methods, such as
A practical guidebook illustrating the applications of spectroelectrochemistry to the understanding of redox reactions through identification of their intermediaries and products.