Representing time-varying cyclic dynamics using multiple-subject state-space models.
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A Monte Carlo simulation study of the reliability of intraindividual variabilityAnalyzing repeated measures data on individuals nested within groups: accounting for dynamic group effects.Weekly Cycles in Daily Report Data: An Overlooked Issue.Modeling intensive longitudinal data with mixtures of nonparametric trajectories and time-varying effects.Analyzing Multiple Multivariate Time Series Data Using Multilevel Dynamic Factor Models.Dynamic infant-parent affect coupling during the face-to-face/still-face.Developmental family processes and interparental conflict: patterns of microlevel influencesThe Data Box and Within-Subject Analyses: A Comment on Nesselroade and Molenaar (2016).IV. DEVELOPMENTS IN THE ANALYSIS OF LONGITUDINAL DATA.Dynamics of Change and Change in Dynamics.
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Representing time-varying cyclic dynamics using multiple-subject state-space models.
description
article científic
@ca
article scientifique
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articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 05 February 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
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name
Representing time-varying cyclic dynamics using multiple-subject state-space models.
@en
Representing time-varying cyclic dynamics using multiple-subject state-space models.
@nl
type
label
Representing time-varying cyclic dynamics using multiple-subject state-space models.
@en
Representing time-varying cyclic dynamics using multiple-subject state-space models.
@nl
prefLabel
Representing time-varying cyclic dynamics using multiple-subject state-space models.
@en
Representing time-varying cyclic dynamics using multiple-subject state-space models.
@nl
P2093
P2860
P356
P1476
Representing time-varying cyclic dynamics using multiple-subject state-space models.
@en
P2093
Ellen L Hamaker
Frank Fujita
Steven M Boker
Sy-Miin Chow
P2860
P304
P356
10.1348/000711008X384080
P577
2009-02-05T00:00:00Z