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The nonconvergence of factals:...
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Reviews
Mooijaart, Ab
- In:
Psychometrika
51
(
1986
)
3
,
pp. 501-502
Persistent link: https://www.econbiz.de/10005156311
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Moment Testing for Interaction Terms in Structural Equation Modeling
Mooijaart, Ab
;
Satorra, Albert
- In:
Psychometrika
77
(
2012
)
1
,
pp. 65-84
Persistent link: https://www.econbiz.de/10009400073
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3
Factor analysis for non-normal variables
Mooijaart, Ab
- In:
Psychometrika
50
(
1985
)
3
,
pp. 323-342
Persistent link: https://www.econbiz.de/10005757735
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A monotonically convergent algorithm for factals
Kiers, Henk
;
Takane, Yoshio
;
Mooijaart, Ab
- In:
Psychometrika
58
(
1993
)
4
,
pp. 567-574
Persistent link: https://www.econbiz.de/10005757930
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5
A general solution of the weighted orthonormal procrustes problem
Mooijaart, Ab
;
Commandeur, Jacques
- In:
Psychometrika
55
(
1990
)
4
,
pp. 657-663
Persistent link: https://www.econbiz.de/10005758042
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6
Three-factor association models for three-way contingency tables
Siciliano, Roberta
;
Mooijaart, Ab
- In:
Computational Statistics & Data Analysis
24
(
1997
)
3
,
pp. 337-356
Persistent link: https://www.econbiz.de/10005165900
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7
A least squares algorithm for a mixture model for compositional data
Mooijaart, Ab
;
Heijden, Peter G. M. van der
;
Ark, L. …
- In:
Computational Statistics & Data Analysis
30
(
1999
)
4
,
pp. 359-379
Persistent link: https://www.econbiz.de/10005172265
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8
Estimation of regression coefficients with the help of characteristic functions
Van Montfort, Kees
;
Mooijaart, Ab
;
De Leeuw, Jan
- In:
Journal of Econometrics
41
(
1989
)
2
,
pp. 267-278
Persistent link: https://www.econbiz.de/10005192797
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9
Latent Markov Modelling of Recidivism Data
Bijleveld, Catrien C.J.H.
;
Mooijaart, Ab
- In:
Statistica Neerlandica
57
(
2003
)
3
,
pp. 305-320
Persistent link: https://www.econbiz.de/10005676238
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10
Estimating structural equation models with non-normal variables by using transformations
Montfort, Kees van
;
Mooijaart, Ab
;
Meijerink, Frits
- In:
Statistica Neerlandica
63
(
2009
)
2
,
pp. 213-226
Persistent link: https://www.econbiz.de/10005676293
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