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  1. 1

    A graduate course in probability by Nicolaescu, Liviu I.

    Published 2023
    Book

    A graduate course in probability
  2. 2

    An introduction to probability with Mathematica by Kao, Edward P. C.

    Published 2022
    Book

    An introduction to probability with Mathematica
  3. 3

    Probability models and applications by Olkin, Ingram, Derman, Cyrus, Gleser, Leon Jay

    Published 2020
    Book

    Probability models and applications
  4. 4

    Probability with R an introduction with computer science applications by Horgan, Jane M. 1947-

    Published 2020
    Book

    Probability with R an introduction with computer science applications
  5. 5

    Predictive analytics parametric models for regression and classification using R by Tamhane, Ajit C.

    Published 2020
    Book

    Predictive analytics parametric models for regression and classification using R
  6. 6

    Introduction to probability models and applications by Balakrishnan, N. 1956-, Koutras, Markos V., Konstantinos, Politis 1966-

    Published 2019
    Book

    Introduction to probability models and applications
  7. 7

    Probability and statistics for data science math + R + data by Matloff, Norman S.

    Published 2019
    Book

    Probability and statistics for data science math + R + data
  8. 8

    Stochastic models, statistics and their applications Dresden, Germany, March 2019

    Published 2019
    Book

    Stochastic models, statistics and their applications Dresden, Germany, March 2019
  9. 9

    Probability theory and examples by Montemar, Claire

    Published 2018
    Book

    Probability theory and examples
  10. 10

    Probability, decisions, and games a gentle introduction using R by Rodriguez, Abel 1975-, Mendes, Bruno 1970-

    Published 2018
    Book

    Probability, decisions, and games a gentle introduction using R

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