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  1. 1
    Digital dice computational solutions to practical probability problems /

    Digital dice computational solutions to practical probability problems / by Nahin, Paul J.

    Published 2008
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  2. 2
    Digital dice computational solutions to practical probability problems /

    Digital dice computational solutions to practical probability problems / by Nahin, Paul J.

    Published 2013
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  3. 3
    Digital dice computational solutions to practical probability problems /

    Digital dice computational solutions to practical probability problems / by Nahin, Paul J.

    Published 2008
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  4. 4
    Digital dice computational solutions to practical probability problems /

    Digital dice computational solutions to practical probability problems / by Nahin, Paul J.

    Published 2013
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    An electronic book accessible through the World Wide Web; click to view
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  5. 5
    Statistics with JMP : graphs, descriptive statistics and probability /

    Statistics with JMP : graphs, descriptive statistics and probability / by Goos, Peter, Meintrup, David

    Published 2015
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  6. 6
    Statistics with JMP : graphs, descriptive statistics and probability /

    Statistics with JMP : graphs, descriptive statistics and probability / by Goos, Peter, Meintrup, David

    Published 2015
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    An electronic book accessible through the World Wide Web; click to view
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  7. 7
    Probability with applications in R /

    Probability with applications in R / by Dobrow, Robert P.

    Published 2014
    Subjects: “…Probabilities Data processing.…”
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  8. 8
    Probability with applications in R /

    Probability with applications in R / by Dobrow, Robert P.

    Published 2014
    Subjects: “…Probabilities Data processing.…”
    An electronic book accessible through the World Wide Web; click to view
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  9. 9
    Machine learning for protein subcellular localization prediction /

    Machine learning for protein subcellular localization prediction / by Wan, Shibiao, Mak, M. W.

    Published 2015
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  10. 10
    Machine learning for protein subcellular localization prediction /

    Machine learning for protein subcellular localization prediction / by Wan, Shibiao, Mak, M. W.

    Published 2015
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    An electronic book accessible through the World Wide Web; click to view
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  11. 11
    Statistics with JMP : hypothesis tests, ANOVA, and regression /

    Statistics with JMP : hypothesis tests, ANOVA, and regression / by Goos, Peter, Meintrup, David

    Published 2016
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  12. 12
    Statistics with JMP : hypothesis tests, ANOVA, and regression /

    Statistics with JMP : hypothesis tests, ANOVA, and regression / by Goos, Peter, Meintrup, David

    Published 2016
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    An electronic book accessible through the World Wide Web; click to view
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  13. 13
    Rare event simulation using Monte Carlo methods

    Rare event simulation using Monte Carlo methods

    Published 2009
    Subjects: “…Limit theorems (Probability theory)…”
    An electronic book accessible through the World Wide Web; click to view
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  14. 14
    Rare event simulation using Monte Carlo methods

    Rare event simulation using Monte Carlo methods

    Published 2009
    Subjects: “…Limit theorems (Probability theory)…”
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  15. 15
    Surrogates : Gaussian process modeling, design, and optimization for the applied sciences /

    Surrogates : Gaussian process modeling, design, and optimization for the applied sciences / by Gramacy, Robert B.

    Published 2020
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    Taylor & Francis
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  16. 16
    Surrogates : Gaussian process modeling, design, and optimization for the applied sciences /

    Surrogates : Gaussian process modeling, design, and optimization for the applied sciences / by Gramacy, Robert B.

    Published 2020
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  17. 17
    Project-based R companion to introductory statistics /

    Project-based R companion to introductory statistics / by Myers, Chelsea

    Published 2020
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    Taylor & Francis
    OCLC metadata license agreement
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  18. 18
    Project-based R companion to introductory statistics /

    Project-based R companion to introductory statistics / by Myers, Chelsea

    Published 2020
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    Taylor & Francis
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  19. 19
    R companion to elementary applied statistics /

    R companion to elementary applied statistics / by Hay-Jahans, Christopher

    Published 2018
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    Taylor & Francis
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  20. 20
    STATISTICAL INFERENCE VIA DATA SCIENCE a moderndive into R and the Tidyverse.

    STATISTICAL INFERENCE VIA DATA SCIENCE a moderndive into R and the Tidyverse. by Ismay, Chester

    Published 2019
    Subjects: “…MATHEMATICS / Probability & Statistics / Regression Analysis bisacsh 19051…”
    Taylor & Francis
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