Using Principal Components as Auxiliary Variables in Missing Data Estimation.
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Principled Missing Data Treatments.Predicting Adolescent Dating Violence Perpetration: Role of Exposure to Intimate Partner Violence and Parenting Practices.Planning for Long-Term Follow-Up: Strategies Learned from Longitudinal StudiesHow does School Experience Relate to Adolescent Identity Formation Over Time? Cross-Lagged Associations between School Engagement, School Burnout and Identity Processing Styles.Acculturation Gap Distress among Latino Youth: Prospective Links to Family Processes and Youth Depressive Symptoms, Alcohol Use, and Academic Performance.What Are They Thinking? A National Study of Stability and Change in Divorce Ideation.On the Fallibility of Principal Components in Research.
P2860
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P2860
Using Principal Components as Auxiliary Variables in Missing Data Estimation.
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Using Principal Components as Auxiliary Variables in Missing Data Estimation.
@ast
Using Principal Components as Auxiliary Variables in Missing Data Estimation.
@en
type
label
Using Principal Components as Auxiliary Variables in Missing Data Estimation.
@ast
Using Principal Components as Auxiliary Variables in Missing Data Estimation.
@en
prefLabel
Using Principal Components as Auxiliary Variables in Missing Data Estimation.
@ast
Using Principal Components as Auxiliary Variables in Missing Data Estimation.
@en
P2860
P1476
Using Principal Components as Auxiliary Variables in Missing Data Estimation
@en
P2093
Mijke Rhemtulla
Todd D Little
P2860
P304
P356
10.1080/00273171.2014.999267
P577
2015-05-26T00:00:00Z