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Brani Vidakovic answers in Statistical Modeling by Wavelets. Providing a much-needed introduction to the latest tools afforded statisticians by;
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, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;
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energy physics, astrophysics, cosmology and statistical physics. The topics are selected for the interests of physicists and graduate students;
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wavelet analysis. Wavelets, introduced 20 years ago byMorlet and Grossmann and developed very rapidly during the 1980's and 1990's, has;
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This book shows how wavelets can be used to enhance computational intelligence for chaotic and complex pattern recognition problems. By;
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This is the first book on the subject. It is written by an acknowledged expert in the field. The techniques discussed have important;
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statistical methods for modeling energy price risk. Statistical ideas are presented by outlining the necessary concepts and illustrating how these;
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characterized by some elementary equations, allowing the authors to introduce many new wavelets. Next, the idea of multiresolution analysis (MRA;
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within watersheds. An application-oriented text, Modeling Hydrologic Change: Statistical Methods provides a step-by-step presentation of modeling;
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disposal. Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other;
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statistical process analysis and quality control. It includes examples from almost every conceivable food process, most of which are based on real;
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to wavelets. This second edition has been updated by the addition of: * a section on Other Wavelets that describes curvelets, ridgelets;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to get;
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from data. Specifically, itcomes from statistically modeling the data. This book gives the reader the statistical modeling tools needed to;
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and characterization of networks. The book then examines mathematical and statistical network modeling. This is followed by a special case;
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This book presents a mathematical introduction to the theory of orthogonal wavelets and their uses i;...
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Dieses Buch gibt eine Einfuhrung in die Theorie der Wavelets und es beschreibt verschiedene Anwendun;...
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I once heard the book by Meyer (1993) described as a vulgarization of wavelets. While this is true in one sense of the word, that;
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Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;
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Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for;
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graph theory, and stochastic processes. The authors show how wavelets are purely determined by the shape geometry and how wavelet transforms are;
Vergelijkbare producten zoals Diffusion-Driven Wavelet Design for Shape Analysis
graph theory, and stochastic processes. The authors show how wavelets are purely determined by the shape geometry and how wavelet transforms are;
Vergelijkbare producten zoals Diffusion-Driven Wavelet Design for Shape Analysis
from your competitors by using advanced statistical and modeling tools for more in-depth analysis. Understanding and properly utilizing;
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This textbook on statistical modeling and statistical inference will assist advanced undergraduate and graduate students. Statistical;
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This book presents a mathematical introduction to the theory of orthogonal wavelets and their uses i;...
Vergelijkbare producten zoals London Mathematical Society Student Texts
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