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Discusses psychometrics, the assessment of various psychological domains, various measurement methods and emerging... Read More >>
Dieses Lehrbuch befasst sich leicht verständlich mit der Theorie der Kalman-Filterung. Die Autoren geben damit eine... Read More >>
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Covers the latest advances in machine-learning methods for asset management and asset pricing. Cutting-edge material... Read More >>
One of the strengths of this book is that it expresses occupational segregation from multidimensional viewpoints... Read More >>
This book gathers selected high-quality research papers presented at the Second International Conference on Intelligent... Read More >>
A fascinating intellectual history that takes a comparatively little-known but important idea and shows how it affects... Read More >>
This is the first comprehensive book on Trotter-Kato approximations of stochastic differential equations (SDEs)... Read More >>
Also, this book deals with putting the operation procedure and data analysis for optimizing. After reading this... Read More >>
The breadth of problems that can be solved with data science is astonishing, and this book provides the required... Read More >>
Filling the need for a comprehensive guide on the subject, Applied Time Series Analysis for the Social Sciences... Read More >>
This 3rd edition revised and extended compendium contains and explains essential mathematical formulas within an... Read More >>
The book is a field guide to visual literacy, born from the author’s personal experience working with world-class... Read More >>
The exposition is accompanied by numerous examples and more than 100 exercises, for which a complete solution manual... Read More >>
Presents recent development and research in the theory of the measure of noncompactness and its applications in... Read More >>
This book provides professionals and practitioners with a comprehensive guide on credit risk modeling, capital modeling,... Read More >>
This accessible textbook introduces the foundations of applied econometrics and statistics for undergraduate students.... Read More >>
Unsupervised domain adaptation (UDA) is a challenging problem in machine learning where the model is trained on... Read More >>
Each case study contains a thorough discussion of the theoretical principles underlying the experiment and data,... Read More >>