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An Introduction to Envelopes: Dimension Reduction for Efficient Estimation in Multivariate Statistics – eBook

SKU: an-introduction-to-envelopes-dimension-reduction-for-efficient-estimation-in-multivariate-statistics-ebook

Original price was: $109.40.Current price is: $16.00.

eBook details

  • Author: R. Dennis Cook
  • File Size: 5 MB
  • Format: PDF
  • Length: 320 pages
  • Publisher: Wiley
  • Publication Date: September 7, 2018
  • Language: English
  • ASIN: B07H6QRNLR
  • ISBN-10: 1119422930
  • ISBN-13: 9781119422938
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Description

**Book Description:**

Crafted by a leading authority in the realm of multivariate analysis, this comprehensive textbook delves into the latest advancements in envelope models and methodologies.

An Introduction to Envelopes: Dimension Reduction for Efficient Estimation in Multivariate Statistics (PDF) serves as a foundational guide to understanding the theory and practical applications of envelope procedures. These innovative techniques enhance efficiency in multivariate analysis while retaining traditional analytical goals. With a strategic blend of theoretical insights and practical methodology, the author offers rich illustrative examples that demonstrate how envelopes can be effectively utilized in real-world scenarios.

The book intricately discusses targeting specific coefficients using envelope techniques and presents a thorough examination of predictor envelopes, linking them to partial least squares regression. The enlightening content highlights the significant potential of envelope methodologies to facilitate superior estimation of multivariate means, thus making it a vital acquisition for anyone delving into this domain.

Furthermore, this textbook explores the applicability of envelopes in generalized linear models, regressions involving matrix-valued responses, and encompasses recent research on sparse and Bayesian response envelopes. Readers will benefit from a detailed comparison of envelope methods with other prominent dimension reduction techniques, including canonical correlations, reduced-rank regression, supervised singular value decomposition, sufficient dimension reduction, principal components, and principal fitted components.

Key features of this essential resource include:

• A thorough exploration of the mathematical foundations and linear algebra underpinning envelope methods.

• Insights from a recognized expert in the field, presenting cutting-edge research that pushes the boundaries of current statistical methodologies.

• An online companion site providing comprehensive support for R and Matlab, facilitating hands-on learning and application.

• An emphasis on groundbreaking trends and directions in a fast-evolving area of study.

Designed specifically for graduate students and researchers focused on multivariate analysis and dimension reduction, as well as practitioners seeking to refine their statistical methodologies, An Introduction to Envelopes stands as the foremost digital resource on envelopes, combining theoretical depth with practical utility.

NOTE: This product includes the ebook, An Introduction to Envelopes in PDF format. Please be aware that no access codes are provided.

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