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Showing 1 - 20 results of 33 for search '"Decision theory"', 查詢時間: 0.05s Refine Results
  1. 1
    The implementation of Newton Divided Difference method and Hermite Interpolation method to estimate the value of revenue produced by information and communication sector / Muhammad Ruzaini Akmal Rahadi
    主題: “...Decision theory...”
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  2. 2
    Utilising the fuzzy DEMATEL method based on simplified centroid defuzzification for the evaluation of supplier selection criteria / Nazatul Shima Ahmad Sadli
    由 Ahmad Sadli, Nazatul Shima
    出版 2024
    主題: “...Decision theory...”
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  3. 3
    Hierarchical Bayesian Spatial Models for Disease Mortality Rates
    由 Mohamed Elobaid, Rafida
    出版 2009
    主題: “...Bayesian statistical decision theory...”
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  4. 4
    Selang Peramalan Bayesan untuk Data Masa Hayat Pareto di Bawah Penapisan Jenis II
    由 Supandi, Epha Diana
    出版 2005
    主題: “...Bayesian statistical decision theory...”
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  5. 5
    International collaboration in ASEAN : a study of bargaining game models with 'bayesian' players /
    由 Jackson, Thomas Lindsay
    出版 1987
    主題: “...Bayesian statistical decision theory...”
    Thesis 圖書
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  6. 6
    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
    主題: “...Bayesian statistical decision theory...”
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  7. 7
    A hybrid method of feature extraction and Naive Bayes classification for splitting identifiers
    由 Alanee, Nahla
    出版 2016
    主題: “...Bayesian statistical decision theory...”
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  8. 8
    Bayesian approach to errors-in-variables in count data regression models /
    由 Nur Aainaa Rozliman
    出版 2018
    主題: “...Bayesian statistical decision theory....”
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  9. 9
    Bayesian Network Classifiers for Damage Detection in Engineering Material
    由 Mohamed Addin, Addin Osman
    出版 2007
    主題: “...Materials - Bayesian statistical decision theory...”
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  10. 10
    Slice sampler and metropolis hastings approaches for bayesian analysis of extreme data
    由 Rostami, Mohammad
    出版 2016
    主題: “...Bayesian statistical decision theory...”
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  11. 11
    Bayesian network modeling of gastrointestinal bleeding
    由 Aisha, Nazziwa
    出版 2013
    主題: “...Bayesian statistical decision theory...”
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  12. 12
    Bayesian approach to meta-analysis with joint modelling of longitudinal and time-to-event outcomes in dementia and subtypes
    由 Guure, Chris Bambey
    出版 2018
    主題: “...Bayesian statistical decision theory...”
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  13. 13
    Bayesian inference of Weibull distribution for right and interval censored data
    由 Guure, Chris Bambey
    出版 2013
    主題: “...Bayesian statistical decision theory ...”
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  14. 14
    A Bayesian approach to characterize fold change detection in dictyostelium discoideum /
    主題: “...Bayesian statistical decision theory....”
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  15. 15
    Some new approaches to determining Bayesian reliability demonstration test plan /
    由 Ten, Lin Mei
    出版 1998
    主題: “...Bayesian statistical decision theory Applications....”
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  16. 16
    Bayesian logistic regression model on risk factors of type 2 diabetes mellitus
    由 Chiaka, Emenyonu Sandra
    出版 2016
    主題: “...Bayesian statistical decision theory...”
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  17. 17
    Extreme air pollutant data analysis using classical and Bayesian approaches
    由 Mohd Amin, Nor Azrita
    出版 2015
    主題: “...Bayesian statistical decision theory...”
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  18. 18
    Bayesian network of influence of sociodemographic variables on dengue related knowledge, attitude, and practices in selected areas in Selangor, Malaysia
    主題: “...Bayesian statistical decision theory - Case studies...”
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  19. 19
    Bayesian Tolerance Intervals with Probability Matching Priors /
    由 Dharini Pathmanathan
    出版 2014
    主題: “...Bayesian statistical decision theory....”
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  20. 20
    Bayesian analysis in Markov regime-switching models /
    由 Koh, You Beng
    出版 2012
    主題: “...Bayesian statistical decision theory....”
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