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  • Search: subject:"Non-central t distribution"
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Year of publication
Subject
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Clustering 2 Cohen’s d 2 Effect size 2 MCMC computation 2 Microarray analysis 2 Mixture distributions 2 Multiple hypothesis testing 2 Non-central t distribution 2 Non-central t-distribution 2 Betriebsgröße 1 Confidence interval 1 Firm size 1 Linear regression 1 Minimum sample size 1 Sampling 1 Stichprobenerhebung 1 non-central F distribution 1 non-central t distribution 1 process capability index 1
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Online availability
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Free 3 Undetermined 2 CC license 1
Type of publication
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Article 4 Book / Working Paper 1
Type of publication (narrower categories)
All
Article 1 Article in journal 1 Aufsatz in Zeitschrift 1 research-article 1
Language
All
English 4 Undetermined 1
Author
All
Chang, C. S. 1 Chen, Xiangfei 1 Groß, Jürgen 1 Lin, G. H. 1 Marín, J.M. 1 Marín, Miguel J. 1 Möller, Annette 1 Pearn, W. L. 1 Rodríguez-Bernal, M. Teresa 1 Rodríguez-Bernal, M.T. 1 Tong, Tingting 1 Trafimow, David 1 Wang, Cong 1 Wang, Tonghui 1
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Institution
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Departamento de Estadistica, Universidad Carlos III de Madrid 1
Published in...
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Asian journal of economics and banking : AJEB 1 Computational Statistics & Data Analysis 1 Statistical Papers 1 Statistics and Econometrics Working Papers 1 Stochastics and Quality Control 1
Source
All
RePEc 2 ECONIS (ZBW) 1 EconStor 1 Other ZBW resources 1
Showing 1 - 5 of 5
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Some additional remarks on statistical properties of Cohen’s d in the presence of covariates
Groß, Jürgen; Möller, Annette - In: Statistical Papers 65 (2024) 6, pp. 3971-3979
together with a corresponding standard error may be obtained based on the non-central t distribution. The portrayed estimator …
Persistent link: https://www.econbiz.de/10015358816
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The APP procedure for estimating the Cohen's effect size
Chen, Xiangfei; Trafimow, David; Wang, Tonghui; Tong, … - In: Asian journal of economics and banking : AJEB 5 (2021) 3, pp. 289-306
Purpose - The authors derive the necessary mathematics, provide computer simulations, provide links to free and user-friendly computer programs, and analyze real data sets. Design/methodology/approach - Cohen’s d, which indexes the difference in means in standard deviation units, is the most...
Persistent link: https://www.econbiz.de/10012695214
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Multiple hypothesis testing and clustering with mixtures of non-central t-distributions applied in microarray data analysis
Marín, Miguel J.; Rodríguez-Bernal, M. Teresa - Departamento de Estadistica, Universidad Carlos III de … - 2010
sample means and sample variances, distributed as a non-central t-distribution. As we consider multiple comparisons among …
Persistent link: https://www.econbiz.de/10008692050
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Multiple hypothesis testing and clustering with mixtures of non-central t-distributions applied in microarray data analysis
Marín, J.M.; Rodríguez-Bernal, M.T. - In: Computational Statistics & Data Analysis 56 (2012) 6, pp. 1898-1907
. Assuming normal data, a statistic which depends on sample means and sample variances, distributed as a non-central t-distribution …
Persistent link: https://www.econbiz.de/10011056509
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On the Distribution of the Estimated Process Capability Index C pmk
Pearn, W. L.; Lin, G. H.; Chang, C. S. - In: Stochastics and Quality Control 18 (2003) 1, pp. 5-30
Abstract Pearn et al. (Kotz and Johnson, Journal of Quality Technology 24: 216–233, 1992) proposed the process capability index C pmk , and investigated the statistical properties of the natural estimator for stable normal processes with constant mean μ . Chen and Hsu (Communications in...
Persistent link: https://www.econbiz.de/10014590752
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