Local Box–Cox transformation on time-varying parametric models for smoothing estimation of conditional CDF with longitudinal data-Reference-Cited by-同舟云学术

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Local Box–Cox transformation on time-varying parametric models for smoothing estimation of conditional CDF with longitudinal data

Published:2017-07-05 Issue:15 Volume:87 Page:2900-2914
ISSN:0094-9655
Container-title:Journal of Statistical Computation and Simulation
language:en
Short-container-title:Journal of Statistical Computation and Simulation

Author:

Chowdhury Mohammed¹,Wu Colin²,Modarres Reza³

Affiliation:

1. Department of Statistics and Analytical Sciences, Kennesaw State University, Kennesaw, GA, USA

2. National Heart, Lung, and Blood Institute, National Institute of Health, Bethesda, MD, USA

3. Department of Statistics, The George Washington University, Washington, DC, USA

Funder

NHLBI

Publisher

Informa UK Limited

Subject

Applied Mathematics,Statistics, Probability and Uncertainty,Modelling and Simulation,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00949655.2017.1347656

Reference24 articles.

1. Two-step estimation of functional linear models with applications to longitudinal data

2. Kernel Regression Estimation Using Repeated Measurements Data

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