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  1. 1
    Bayesian fine mapping of complex disease genes utilising estimates of the number of yet-to-be-discovered disease-specific SNPs /
    由 Hannuun Eadiela Yaacob
    出版 2020
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  2. 2
    Automatic detection methods of students’ learning styles in learning management system /
    由 Li, Ling Xiao
    出版 2020
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  3. 3
    A Bayesian approach to the estimation of the capital asset pricing model /
    由 Yap, Kok Phun
    出版 1993
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  4. 4
    Bayesian analysis in Markov regime-switching models /
    由 Koh, You Beng
    出版 2012
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  5. 5
    Bayesian techniques for the evaluation of road traffic safety measures : an application to small roundabouts /
    由 Kamarulzaman Ibrahim
    出版 1995
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  6. 6
    International collaboration in ASEAN : a study of bargaining game models with 'bayesian' players /
    由 Jackson, Thomas Lindsay
    出版 1987
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  7. 7
    Pemodelan Bayesan untuk kebasahan dan kekeringan cuaca Semenanjung Malaysia /
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  8. 8
    Model regresi bayes bagi data kekerapan tuntutan dan kos tuntutan insurans kenderaan /
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  9. 9
    Classical and bayesian inference for linear regression models under alpha skew normal and extended skew normal distributions /
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  10. 10
    Bayesian reliability analysis and prediction techniques for reliability analysis and prediction using a combination of Bayesian methods and information of Bayesian methods and information theory together with appropriate computer programs are developed /
    由 Mohd. Rasid Yaakob
    出版 1987
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  11. 11
    Teknik bayesan untuk pemeringkatan lokasi kemalangan berbahaya /
    由 Noorizam Daud
    出版 2007
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  12. 12
    Bayesian approach to errors-in-variables in count data regression models /
    由 Nur Aainaa Rozliman
    出版 2018
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  13. 13
    A Bayesian approach to characterize fold change detection in dictyostelium discoideum /
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  14. 14
    Some new approaches to determining Bayesian reliability demonstration test plan /
    由 Ten, Lin Mei
    出版 1998
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  15. 15
    Bayesian Tolerance Intervals with Probability Matching Priors /
    由 Dharini Pathmanathan
    出版 2014
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