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This book introduces applied wavelet analysis through the S-PLUS software system. In addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered.
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Much of current ecology research and conservation addresses problems across landscapes and regions, focusing on spatial patterns and... Læs mere
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This book is intended to equip the reader with concept knowledge, on multilinear regression methods, and develop technical skills, while solving problems with the R... Læs mere
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After first setting up the basic tools needed for the study of queuing theory, the authors concentrate on complicated systems: multi-server systems... Læs mere
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This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation.
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This book collects peer-reviewed contributions on modern statistical methods and topics, stemming from the third workshop on Analytical Methods in Statistics, AMISTAT 2019, held in Liberec, Czech Republic, on September 16-19, 2019.
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This book introduces the basic methodologies for successful data analytics. The methodological overlap between data science and machine learning is emphasized by demonstrating how data science is used for classification as well as supervised and unsupervised learning.
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This book discusses quantum theory as the theory of random (Brownian) motion of small particles (electrons etc.) under external forces.
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