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Antieigenvalue analysis with applications to numerical analysis, wavelets, statistics, quantum mechanics, finance and optimization için kapak resmi

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Antieigenvalue analysis with applications to numerical analysis, wavelets, statistics, quantum mechanics, finance and optimization

by

Gustafson, Karl.

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Antieigenvalue analysis with applications to numerical analysis, wavelets, statistics, quantum

Principal Component Analysis Networks and Algorithms için kapak resmi

2.

Principal Component Analysis Networks and Algorithms

by

Kong, Xiangyu. author.

http://dx.doi.org/10.1007/978-981-10-2915-8

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familiar with numerical analysis and the fundamentals of statistics, such as the basics of least squares

Variable Selection Methods for Structured Data için kapak resmi

3.

Variable Selection Methods for Structured Data

by

Cheng, Chen, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10283008

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studies are illustrated by both simulation and real data analysis. Chapter 3 describes future application

Robust Bayes in Hierarchical Modeling and Empirical Bayes Analysis in Multivariate Estimation için kapak resmi

4.

Robust Bayes in Hierarchical Modeling and Empirical Bayes Analysis in Multivariate Estimation

by

Wang, Xiaomu, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10891768

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estimators. Then we investigate the risk of such estimators with different numerical simulations and compare

Accurate Dimension Reduction Based Polynomial Chaos Approach for Uncertainty Quantification of High Speed Networks için kapak resmi

5.

Accurate Dimension Reduction Based Polynomial Chaos Approach for Uncertainty Quantification of High Speed Networks

by

Krishna Prasad, Aditi, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10785345

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uncertainties. In this mixed PC approach, a parameterized formulation of analysis of variance (ANOVA) is used to

The Split Analysis for Multiple-Reader Multiple-Case Split-Plot Studies için kapak resmi

6.

The Split Analysis for Multiple-Reader Multiple-Case Split-Plot Studies

by

Hsieh, Jui-Ying, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10813369

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estimator based on splitting the analysis across the groups. In each split sub-study, we compute an estimate

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