Longitudinal Principal Component Analysis With an Application to Marketing Data-Reference-Cited by-同舟云学术

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Longitudinal Principal Component Analysis With an Application to Marketing Data

Published:2019-11-05 Issue:2 Volume:29 Page:335-350
ISSN:1061-8600
Container-title:Journal of Computational and Graphical Statistics
language:en
Short-container-title:Journal of Computational and Graphical Statistics

Author:

Kinson Christopher¹,Tang Xiwei²,Zuo Zhen³,Qu Annie¹^ORCID

Affiliation:

1. Department of Statistics, University of Illinois at Urbana-Champaign, Champaign, IL;

2. Department of Statistics, University of Virginia, Charlottesville, VA;

3. Department of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Discrete Mathematics and Combinatorics,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/10618600.2019.1677244

Reference52 articles.

1. Smoothing splines for longitudinal data

2. Fitting Linear Mixed-Effects Models Usinglme4

3. Principal components for multivariate functional data

4. Exploring repeated measures data sets for key features using Principal Components Analysis

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring Time-Based Characteristics of the E-Car Market for Effective Market Segmentation;Procedia Computer Science;2024

2. Tensorial Principal Component Analysis in Detecting Temporal Trajectories of Purchase Patterns in Loyalty Card Data: Retrospective Cohort Study;Journal of Medical Internet Research;2023-12-15

3. The effects of terrain factors on the drainage area threshold: comparison of principal component analysis and correlation analysis;Environmental Monitoring and Assessment;2022-02-10

4. On the optimization of knot allocation for B-spline parameterization of the dielectric function in spectroscopic ellipsometry data analysis;Journal of Applied Physics;2021-01-21

5. Principal component analysis applied to multidimensional social indicators longitudinal studies: limitations and possibilities;GeoJournal;2020-10-21

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