nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A distribution-free soft-clustering method for preference rankings
|
D’Ambrosio, Antonio |
|
2018 |
46 |
2 |
p. 333-351 |
artikel |
2 |
Bayesian model checking in cognitive diagnostic models
|
Wang, Nan |
|
2019 |
46 |
2 |
p. 371-388 |
artikel |
3 |
Bayesian modeling for overdispersed event-count time series
|
Fukumoto, Kentaro |
|
2019 |
46 |
2 |
p. 435-452 |
artikel |
4 |
Clustering and dimension reduction for mixed variables
|
Vichi, Maurizio |
|
2019 |
46 |
2 |
p. 243-269 |
artikel |
5 |
Consequences of ignoring nested data structure on item parameters in Rasch/1P-IRT model
|
Miyazaki, Yasuo |
|
2019 |
46 |
2 |
p. 401-434 |
artikel |
6 |
Constrained nonmetric principal component analysis
|
Yamagishi, Yuki |
|
2019 |
46 |
2 |
p. 313-332 |
artikel |
7 |
Decline of Pearson’s r with categorization of variables: a large-scale simulation
|
Onoshima, Takahiro |
|
2019 |
46 |
2 |
p. 389-399 |
artikel |
8 |
Introduction to the vol. 46, no. 2, 2019
|
Ueno, Maomi |
|
2019 |
46 |
2 |
p. 235-237 |
artikel |
9 |
Partitioning subjects based on high-dimensional fMRI data: comparison of several clustering methods and studying the influence of ICA data reduction in big data
|
Durieux, Jeffrey |
|
2019 |
46 |
2 |
p. 271-311 |
artikel |
10 |
Special feature: dimension reduction and cluster analysis
|
Velden, Michel van de |
|
2019 |
46 |
2 |
p. 239-241 |
artikel |
11 |
The application of minimum discrepancy estimation in implementation of cognitive diagnostic models
|
Dai, Shenghai |
|
2019 |
46 |
2 |
p. 453-481 |
artikel |
12 |
Understanding information theoretic measures for comparing clusterings
|
Hoef, Hanneke van der |
|
2018 |
46 |
2 |
p. 353-370 |
artikel |