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  1. 1
    Advances in statistical models for data analysis /
    Published 2015
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  2. 2
    The little SAS book : a primer : a programming approach /
    by Delwiche, Lora D.
    Published 2012
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  3. 3
    Higher-order growth curves and mixture modeling with Mplus : a practical guide /
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  4. 4
    Probability theory : a first course in probability theory and statistics /
    by Linde, Werner, 1947-
    Published 2016
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  5. 5
    Probability theory and statistical applications : a profound treatise for self-study /
    by Zörnig, Peter
    Published 2016
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  6. 6
    Basics of matrix algebra for statistics with R /
    by Fieller, N. R. J.
    Published 2016
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  7. 7
    Using statistics in the social and health sciences with SPSS and Excel /
    by Abbott, Martin, 1949-
    Published 2017
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  8. 8
    Statistical implications of Turing's formula /
    by Zhang, Zhiyi, 1960-
    Published 2017
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  9. 9
    Analysis of variance, design, and regression : linear modeling for unbalanced data /
    by Christensen, Ronald, 1951-
    Published 2016
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  10. 10
    Illuminating statistical analysis using scenarios and simulations /
    by Kottemann, Jeffrey E.
    Published 2017
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  11. 11
    JavaScript for data science /
    by Gans, Maya
    Published 2020
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  12. 12
    An introduction to statistical learning : with applications in R /
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  13. 13
    Multilevel and longitudinal modeling using Stata /
    by Rabe-Hesketh, S., Skrondal, Anders
    Published 2022
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  14. 14
    Applied regularization methods for the social sciences /
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  15. 15
    Introduction to statistical modelling and inference /
    by Aitkin, Murray A.
    Published 2022
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  16. 16
    Sports analytics in practice with R /
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  17. 17
    Handbook of regression modeling in people analytics : with examples in R and Python /
    by McNulty, Keith
    Published 2021
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  18. 18
    Causal inference /
    by Rosenbaum, Paul R.
    Published 2023
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  19. 19
    Probability and statistics for engineering and the sciences with modeling using R /
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  20. 20
    Statistics and data visualisation with Python /
    by Rogel-Salazar, Jesus
    Published 2023
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