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  1. 101
    Published 2022
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    Reflections on the foundations of probability and statistics : essays in honor of Teddy Seidenfeld /
  2. 102
    by Nahin, Paul J.
    Published 2023
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    The probability integral : its origin, its importance, and its calculation /
  3. 103
    by Janczyk, Markus, Pfister, Roland
    Published 2023
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    Understanding inferential statistics : from a for significance test to z for confidence interval /
  4. 104
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    Limit Theorems for Some Long Range Random Walks on Torsion Free Nilpotent Groups /
  5. 105
    by Rohatgi, V. K., 1939-
    Published 2001
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    An introduction to probability and statistics.
  6. 106
    by Anděl, Jiří
    Published 2001
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    Mathematics of chance /
  7. 107
    by Ross, Sheldon M.
    Published 2000
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    Introduction to probability and statistics for engineers and scientists /
  8. 108
    by Hacking, Ian
    Published 2001
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    An introduction to probability and inductive logic /
  9. 109
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    Probability and stochastic processes : a friendly introduction for electrical and computer engineers /
  10. 110
    by Föllmer, Hans, Schied, Alexander
    Published 2004
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    Stochastic finance : an introduction in discrete time /
  11. 111
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    Counterexamples in probability and real analysis /
  12. 112
    by Stoi︠a︡nov, Ĭordan
    Published 1997
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    Counterexamples in probability /
  13. 113
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    Counterexamples in probability and statistics /
  14. 114
    by Frey, Bruce
    Published 2006
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    Statistics hacks /
  15. 115
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    Basic principles and applications of probability theory /
  16. 116
    by Chung, Kai Lai, 1917-2009
    Published 2004
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    Chance & choice : memorabilia /
  17. 117
    by Higgins, James J.
    Published 1995
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    Concepts in probability and stochastic modeling /
  18. 118
    by Ross, Sheldon M.
    Published 2009
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    Introduction to probability and statistics for engineers and scientists /
  19. 119
    by Buckley, James J., 1936-
    Published 2005
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    Fuzzy probabilities : new approach and applications /
  20. 120
    Published 2010
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    Boolean models and methods in mathematics, computer science, and engineering /
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