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Recent Developments in Multivariate and Random Matrix Analysis
This volume is a tribute to Professor Dietrich von Rosen on the occasion of his 65th birthday. It contains a collection of twenty original papers. The contents of the papers evolve around multivariate analysis and random matrices with topics such as high-dimensional analysis, goodness-of-fit measures, variable selection and information criteria, inference of covariance structures, the Wishart distribution and growth curve models.
Applied Linear Algebra, Probability and Statistics
This book focuses on research in linear algebra, statistics, matrices, graphs and their applications. Many chapters in the book feature new findings due to applications of matrix and graph methods. The book also discusses rediscoveries of the subject by using new methods. Dedicated to Prof. Calyampudi Radhakrishna Rao (C.R. Rao) who has completed 100 years of legendary life and continues to inspire us all and Prof. Arbind K. Lal who has sadly departed us too early, it has contributions from collaborators, students, colleagues and admirers of Professors Rao and Lal. With many chapters on generalized inverses, matrix analysis, matrices and graphs, applied probability and statistics, and the history of ancient mathematics, this book offers a diverse array of mathematical results, techniques and applications. The book promises to be especially rewarding for readers with an interest in the focus areas of applied linear algebra, probability and statistics.
Matrix Tricks for Linear Statistical Models
In teaching linear statistical models to first-year graduate students or to final-year undergraduate students there is no way to proceed smoothly without matrices and related concepts of linear algebra; their use is really essential. Our experience is that making some particular matrix tricks very familiar to students can substantially increase their insight into linear statistical models (and also multivariate statistical analysis). In matrix algebra, there are handy, sometimes even very simple “tricks” which simplify and clarify the treatment of a problem—both for the student and for the professor. Of course, the concept of a trick is not uniquely defined—by a trick we simply mean here a useful important handy result. In this book we collect together our Top Twenty favourite matrix tricks for linear statistical models.
Design, User Experience, and Usability: User Experience Design for Everyday Life Applications and Services
The four-volume set LNCS 8517, 8518, 8519 and 8520 constitutes the proceedings of the Third International Conference on Design, User Experience, and Usability, DUXU 2014, held as part of the 16th International Conference on Human-Computer Interaction, HCII 2014, held in Heraklion, Crete, Greece in June 2014, jointly with 13 other thematically similar conferences. The total of 1476 papers and 220 posters presented at the HCII 2014 conferences were carefully reviewed and selected from 4766 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers accepted for presentation thoroughly cover the...
Bilinear Regression Analysis
This book expands on the classical statistical multivariate analysis theory by focusing on bilinear regression models, a class of models comprising the classical growth curve model and its extensions. In order to analyze the bilinear regression models in an interpretable way, concepts from linear models are extended and applied to tensor spaces. Further, the book considers decompositions of tensor products into natural subspaces, and addresses maximum likelihood estimation, residual analysis, influential observation analysis and testing hypotheses, where properties of estimators such as moments, asymptotic distributions or approximations of distributions are also studied. Throughout the text, examples and several analyzed data sets illustrate the different approaches, and fresh insights into classical multivariate analysis are provided. This monograph is of interest to researchers and Ph.D. students in mathematical statistics, signal processing and other fields where statistical multivariate analysis is utilized. It can also be used as a text for second graduate-level courses on multivariate analysis.
Velveteen Youth
Jeśli raz pozwoli się na zło, ono wraca, by zebrać kolejne żniwo… Na obrzeżach Gniezna policjanci odkrywają zwłoki Piotra Nowaka, znanego i powszechnie szanowanego urzędnika, zamordowanego w brutalny sposób. Sprawę prowadzą komisarz Michał Fuks oraz psycholog policyjny Jan Witold. Z każdym dniem staje się jasne, że ujęcie zabójcy będzie znacznie trudniejsze, niż zakładali oni na początku. Nowak najwyraźniej nie był wzorem do naśladowania: w jego życiorysie policjanci odkrywają szantaż, gwałt, pranie brudnych pieniędzy, porwanie dziecka, gejowskie układy, a wszystko to pod przykrywką luksusowego stylu życia. Podejrzanych przybywa niemal tak samo szybko, jak pytań bez odpowiedzi. Czy orientacja seksualna denata ma związek z jego śmiercią? Jak wiele osób zginie, nim uda się dotrzeć do prawdy? Ile jest w stanie zapłacić człowiek, by ukryć przed całym światem swoją prawdziwą twarz?
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