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An Introduction to Statistical Computing(Hardback)
A Simulation-Based Approach
John Wiley & Sons Inc
Published:
18/10/2013
A comprehensive introduction to sampling-based methods in statistical computing The use of computers in mathematics and statistics has opened up a wide range of techniques for studying otherwise ...
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£61.95 |
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Large-Scale Inverse Problems and Quantification of Uncertain...(Hardback)
Wiley-Blackwell
Published:
05/11/2010
This book focuses on computational methods for large-scale statistical inverse problems and provides an introduction to statistical Bayesian and frequentist methodologies. Recent research advances f...
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£111.95 |
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Classification Methodology for Symbolic Data(Hardback)
Published:
27/03/2015
Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of v...
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£65.95 |
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Graphical Models(Hardback)
Representations for Learning, Reasoning and Data Mining
Wiley-Blackwell
Published:
07/08/2009
Provides a self-contained introduction to learning relational, probabilistic and possibilistic networks from data All basic concepts carefully explained and illustrated by examples throughout Contai...
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£97.95 |
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Computational Statistics(Hardback)
Wiley-Blackwell
Published:
06/11/2012
Retaining the general organization and style of its predecessor, this new edition continues to serve as a comprehensive guide to modern and classical methods of statistical computing and computation...
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£110.95 |
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A Statistical Approach to Neural Networks for Pattern Recogn...(Hardback)
Wiley-Blackwell (an imprint of John Wiley & Sons Ltd)
Published:
16/07/2007
This book presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models, in a language that is familiar to practicing statisticians....
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£116.95 |
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Statistical and Machine Learning Approaches for Network Anal...(Other digital)
John Wiley & Sons Inc
Published:
22/06/2012
* Provides a general framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph measures for graph classification. * The proposed methods...
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