Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows
Joint Authors
van Heugten, Eric
Park, S. Y.
Li, C.
Mendoza Benavides, S. M.
Staicu, A. M.
Source
Journal of Probability and Statistics
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-07-16
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
We propose a novel modeling framework to study the effect of covariates of various types on the conditional distribution of the response.
The methodology accommodates flexible model structure, allows for joint estimation of the quantiles at all levels, and provides a computationally efficient estimation algorithm.
Extensive numerical investigation confirms good performance of the proposed method.
The methodology is motivated by and applied to a lactating sow study, where the primary interest is to understand how the dynamic change of minute-by-minute temperature in the farrowing rooms within a day (functional covariate) is associated with low quantiles of feed intake of lactating sows, while accounting for other sow-specific information (vector covariate).
American Psychological Association (APA)
Park, S. Y.& Li, C.& Mendoza Benavides, S. M.& van Heugten, Eric& Staicu, A. M.. 2019. Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows. Journal of Probability and Statistics،Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1186853
Modern Language Association (MLA)
Park, S. Y.…[et al.]. Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows. Journal of Probability and Statistics No. 2019 (2019), pp.1-14.
https://search.emarefa.net/detail/BIM-1186853
American Medical Association (AMA)
Park, S. Y.& Li, C.& Mendoza Benavides, S. M.& van Heugten, Eric& Staicu, A. M.. Conditional Analysis for Mixed Covariates, with Application to Feed Intake of Lactating Sows. Journal of Probability and Statistics. 2019. Vol. 2019, no. 2019, pp.1-14.
https://search.emarefa.net/detail/BIM-1186853
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186853