Finite Mixture Models: A Key Tool for Reliability Analyses.
- Published in:
- Mathematics (2227-7390), 2025, v. 13, n. 10, p. 1605, doi. 10.3390/math13101605
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- Article
Works matching DE "FINITE mixture models (Statistics)"
Results: 358
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Analysis of HIV/AIDS DRG in Portugal: a hierarchical finite mixture model.
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- European Journal of Health Economics, 2013, v. 14, n. 5, p. 715, doi. 10.1007/s10198-012-0416-5
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- Article
3
MEMO: multi-experiment mixture model analysis of censored data.
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- Bioinformatics, 2016, v. 32, n. 16, p. 2464, doi. 10.1093/bioinformatics/btw190
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- Article
4
Analysis of gene expression data using a linear mixed model/finite mixture model approach: application to regional differences in the human brain.
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- Bioinformatics, 2014, v. 30, n. 11, p. 1555, doi. 10.1093/bioinformatics/btu088
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- Publication type:
- Article
5
flowPeaks: a fast unsupervised clustering for flow cytometry data via K-means and density peak finding.
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- Bioinformatics, 2012, v. 28, n. 15, p. 2052
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- Article
6
Characterizing Stand and Biomass Tables from Diameter Distribution Models: A Case Study for Mixed-Hardwood Forests in Eastern Tennessee, USA.
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- Forest Science, 2022, v. 68, n. 1, p. 8, doi. 10.1093/forsci/fxab051
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- Article
7
Continuous versus Categorical Models of Delinquency Risk.
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- American Journal of Criminal Justice, 2014, v. 39, n. 3, p. 395, doi. 10.1007/s12103-013-9235-1
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- Article
8
Blowin' in the wind: Dispersal of Glossy Ibis Plegadis falcinellus in the West Mediterranean basin.
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- Ecology & Evolution (20457758), 2023, v. 13, n. 1, p. 1, doi. 10.1002/ece3.9756
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- Article
9
A Note on Compatible Prior Distributions in Univariate Finite Mixture and Markov-Switching Models.
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- Central European Journal of Economic Modelling & Econometrics, 2015, v. 7, n. 4, p. 219
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- Article
10
Mixture Modeling: Applications in Educational Psychology.
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- Educational Psychologist, 2016, v. 51, n. 3/4, p. 354, doi. 10.1080/00461520.2016.1207176
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- Article
11
Mixture Mixed Models: Biennial Growth as a Latent Variable in Coffee Bean Progenies.
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- Crop Science, 2019, v. 59, n. 4, p. 1424, doi. 10.2135/cropsci2018.02.0141
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- Article
12
Caution or Warning? A Validity Study of the MAYSI-2 with Juvenile Offenders.
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- Behavioral Sciences & the Law, 2014, v. 32, n. 4, p. 508, doi. 10.1002/bsl.2128
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- Article
13
Editorial.
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- BMS: Bulletin de Methodologie Sociologique (Sage Publications Ltd.), 2016, n. 132, p. 3, doi. 10.1177/0759106316662938
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- Article
14
FINITE MIXTURE MODELING, CLASSIFICATION AND STATISTICAL LEARNING WITH ORDER STATISTICS.
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- Statistica Sinica, 2020, v. 30, n. 4, p. 1881, doi. 10.5705/ss.202018.0266
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- Article
15
MODEL SELECTION FOR GAUSSIAN MIXTURE MODELS.
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- Statistica Sinica, 2017, v. 27, n. 1, p. 147, doi. 10.5705/ss.2014.105
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- Article
16
Application of unsupervised learning of finite mixture models in ASTER VNIR data-driven land use classification.
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- Journal of Spatial Science, 2021, v. 66, n. 1, p. 89, doi. 10.1080/14498596.2019.1570478
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- Article
17
Model-Based Clustering with Measurement or Estimation Errors.
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- Genes, 2020, v. 11, n. 2, p. 185, doi. 10.3390/genes11020185
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- Article
18
Heterogeneous effect of coinsurance rate on healthcare expenditure: generalized finite mixtures and matching estimators.
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- Applied Economics, 2015, v. 47, n. 58, p. 6331, doi. 10.1080/00036846.2015.1071470
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- Article
19
Cost efficiency of French soccer league teams.
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- Applied Economics, 2014, v. 46, n. 8, p. 781, doi. 10.1080/00036846.2013.854304
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- Article
20
Penalized likelihood inference for the finite mixture of Poisson distributions from capture-recapture data.
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- Statistical Papers, 2024, v. 65, n. 5, p. 2751, doi. 10.1007/s00362-023-01503-3
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- Article
21
Seemingly unrelated clusterwise linear regression for contaminated data.
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- Statistical Papers, 2023, v. 64, n. 3, p. 883, doi. 10.1007/s00362-022-01344-6
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- Article
22
Mixtures of multivariate contaminated normal regression models.
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- Statistical Papers, 2020, v. 61, n. 2, p. 787, doi. 10.1007/s00362-017-0964-y
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23
A comparison of the $$L_2$$ minimum distance estimator and the EM-algorithm when fitting $${\varvec{{k}}}$$ -component univariate normal mixtures.
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- Statistical Papers, 2017, v. 58, n. 4, p. 1247, doi. 10.1007/s00362-016-0747-x
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24
Finite mixture modeling of censored regression models.
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- Statistical Papers, 2014, v. 55, n. 3, p. 627, doi. 10.1007/s00362-013-0509-y
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- Article
25
Order selection in finite mixtures of linear regressions.
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- Statistical Papers, 2014, v. 55, n. 3, p. 871, doi. 10.1007/s00362-013-0534-x
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26
Maximum likelihood estimation under a finite mixture of generalized exponential distributions based on censored data.
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- Statistical Papers, 2014, v. 55, n. 2, p. 311, doi. 10.1007/s00362-012-0480-z
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- Article
27
Profile Analysis: A Closer Look at the PISA 2000 Reading Data.
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- Scandinavian Journal of Educational Research, 2012, v. 56, n. 3, p. 315, doi. 10.1080/00313831.2011.583937
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- Article
28
The value of multiparametric MRI-based habitat imaging for differentiating uterine sarcomas from atypical leiomyomas: a multicentre study.
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- Abdominal Radiology, 2025, v. 50, n. 2, p. 995, doi. 10.1007/s00261-024-04539-7
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- Article
29
High-Performance Psychometrics: The Parallel-E Parallel-M Algorithm for Generalized Latent Variable Models.
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- ETS Research Reports Series, 2016, v. 2016, n. 2, p. 1, doi. 10.1002/ets2.12120
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- Article
30
Application of Hilbert-Huang Decomposition to Reduce Noise and Characterize for NMR FID Signal of Proton Precession Magnetometer.
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- Instruments & Experimental Techniques, 2018, v. 61, n. 1, p. 55, doi. 10.1134/S0020441218010256
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- Article
31
MEASUREMENT OF NATIONAL CULTURE: A MULTIPLE SOURCE LATENT VARIABLE APPROACH.
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- Cross-Cultural Management Journal, 2018, v. 20, n. 2, p. 73
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32
NICU Network Neurobehavioral Scale Profiles Predict Developmental Outcomes in a Low-Risk Sample.
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- Paediatric & Perinatal Epidemiology, 2012, v. 26, n. 4, p. 344, doi. 10.1111/j.1365-3016.2012.01288.x
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- Article
33
A Shift-Invariant Latent Variable Model for Automatic Music Transcription.
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- Computer Music Journal, 2012, v. 36, n. 4, p. 81, doi. 10.1162/COMJ_a_00146
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- Article
34
MIDDLE-CLASS OFFENDERS.
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- British Journal of Criminology, 2012, v. 52, n. 4, p. 765, doi. 10.1093/bjc/azs014
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- Article
35
A Smooth Transition Finite Mixture Model for Accommodating Unobserved Heterogeneity.
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- Journal of Business & Economic Statistics, 2020, v. 38, n. 3, p. 580, doi. 10.1080/07350015.2018.1543126
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- Article
36
Bank Business Models at Zero Interest Rates.
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- Journal of Business & Economic Statistics, 2019, v. 37, n. 3, p. 542, doi. 10.1080/07350015.2017.1386567
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- Article
37
Bayesian Inversion, Uncertainty Analysis and Interrogation Using Boosting Variational Inference.
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- Journal of Geophysical Research. Solid Earth, 2024, v. 129, n. 1, p. 1, doi. 10.1029/2023JB027789
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- Article
38
Parent-Reported Attention Deficit/Hyperactivity Symptomatology in Preschool-Aged Children: Factor Structure, Developmental Change, and Early Risk Factors.
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- Journal of Abnormal Child Psychology, 2012, v. 40, n. 8, p. 1301, doi. 10.1007/s10802-012-9641-8
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- Publication type:
- Article
39
A hierarchical Bayesian logistic regression with a finite mixture for identifying higher-than-expected crash proportions at intersections.
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- Journal of Transportation Safety & Security, 2019, v. 11, n. 1, p. 1, doi. 10.1080/19439962.2017.1337054
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- Publication type:
- Article
40
Overfitting Bayesian Mixture Models with an Unknown Number of Components.
- Published in:
- PLoS ONE, 2015, v. 10, n. 7, p. 1, doi. 10.1371/journal.pone.0131739
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- Article
41
The benefits of incorporating utility dependencies in finite mixture probit models.
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- OR Spectrum, 2017, v. 39, n. 3, p. 793, doi. 10.1007/s00291-017-0478-y
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- Publication type:
- Article
42
Small UAV based multi-viewpoint image registration for monitoring cultivated land changes in mountainous terrain.
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- International Journal of Remote Sensing, 2018, v. 39, n. 21, p. 7201, doi. 10.1080/01431161.2018.1516051
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- Publication type:
- Article
43
Modeling tree diameters using mixtures of skewed Student's t and related distributions.
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- Canadian Journal of Forest Research, 2020, v. 50, n. 10, p. 1039, doi. 10.1139/cjfr-2020-0008
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- Publication type:
- Article
44
Latent Class Analysis for Developmental Research.
- Published in:
- Child Development Perspectives, 2016, v. 10, n. 1, p. 59, doi. 10.1111/cdep.12163
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- Article
45
ANTECEDENTS OF ONLINE PURCHASE INTENTION AND BEHAVIOUR: UNCOVERING UNOBSERVED HETEROGENEITY.
- Published in:
- Journal of Business Economics & Management, 2019, v. 20, n. 1, p. 131, doi. 10.3846/jbem.2019.7060
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- Article
46
Generating cotton fiber length probability density function from fiber length parameters by finite mixture model.
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- Journal of the Textile Institute, 2015, v. 106, n. 6, p. 655, doi. 10.1080/00405000.2014.933516
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- Article
47
Application of finite mixture model in cotton fiber length probability distribution.
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- Journal of the Textile Institute, 2015, v. 106, n. 2, p. 146, doi. 10.1080/00405000.2014.906102
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- Publication type:
- Article
48
A Family of Finite Mixture Distributions for Modelling Dispersion in Count Data.
- Published in:
- Stats, 2023, v. 6, n. 3, p. 942, doi. 10.3390/stats6030059
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- Article
49
Extreme Tail Ratios and Overrepresentation among Subpopulations with Normal Distributions.
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- Stats, 2022, v. 5, n. 4, p. 977, doi. 10.3390/stats5040057
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- Article
50
Quantification of variability of valid travel times with FMMs for buses, passenger cars, and taxis.
- Published in:
- IET Intelligent Transport Systems (Wiley-Blackwell), 2017, v. 11, n. 1, p. 1, doi. 10.1049/iet-its.2016.0017
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- Article