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  1. 1

    Fuzzy Statistical Decision-Making Theory and Applications /

    Published Springer International Publishing : Imprint: Springer, 2016.
    Full-text access
    e-Book
  2. 2

    The Statistical Stability Phenomenon by Gorban, Igor I.

    Published Springer International Publishing : Imprint: Springer, 2017.
    Table of Contents: “…Features of the Statistical Stability Phenomenon -- The Phenomenon of Statistical Stability and its Properties -- Determinism and Uncertainty -- Formalization of the Statistical Stability Concept -- Dependence of the Statistical Stability of a Stochastic Process on its Spectrum-Correlation Characteristics -- Experimental Study of the Statistical Stability Phenomenon -- Experimental Investigation of the Statistical Stability of Physical Processes over Large Observation Intervals -- Experimental Investigation of the Statistical Stability of Meteorological Data -- Experimental Studies of the Statistical Stability of Radiation from Astrophysical Objects -- Statistical Stability of Different Types of Noise and Process -- The Theory of Hyper-random Phenomena -- Hyper-random Events and Variables -- Hyper-random Functions -- Stationary and Ergodic Hyper-random Functions -- Transformations of Hyper-random Variables and Processes -- Fundamentals of the Statistics of Hyper-random Phenomena -- Principles of the Mathematical Analysis of Divergent and Many-valued Functions -- Divergent Sequences and Functions -- Description of Divergent Sequences and Functions -- Divergent Sequences -- Many-valued Variables, Sequences, and Functions -- Principles of the Mathematical Analysis of Many-valued Functions -- Statistical Laws in Statistical Stability Violation -- The Law of Large Numbers -- The Central Limit Theorem -- Accuracy and Measurement Models -- The Problem of Uncertainty -- Epilogue -- References.…”
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  3. 3

    Basic business statistics : concepts and applications / by Berenson, Mark L.

    Published Prentice Hall, 2012.
    Book
  4. 4

    Statistical quality control : a modern introduction / by Montgomery, Douglas C.

    Published John Wiley, 2009.
    Book
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  7. 7

    Challenges in Computational Statistics and Data Mining

    Published Springer International Publishing : Imprint: Springer, 2016.
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  8. 8

    Computational and Statistical Methods in Intelligent Systems

    Published Springer International Publishing : Imprint: Springer, 2019.
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    e-Book
  9. 9

    Probability and statistics for engineers and scientists by Walpole, Ronald E.

    Published Pearson, 2014.
    Book
  10. 10

    Living Without Mathematical Statistics Accurate Analysis, Diagnosis, and Prognosis Based on the Taguchi Method / by Ruefer, Herbert

    Published Springer International Publishing : Imprint: Springer, 2019.
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  11. 11

    Statistics without maths for psychology / by Dancey, Christine P.

    Published Pearson, 2017.
    Book
  12. 12

    Statistical Methods in Hydrology and Hydroclimatology by Maity, Rajib

    Published Springer Nature Singapore : Imprint: Springer, 2018.
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  13. 13

    Applied statistics and probability for engineers / by Montgomery, Douglas C.

    Published Weley, 2014.
    Book
  14. 14

    Statistical Physics for Electrical Engineering by Merhav, Neri

    Published Springer International Publishing : Imprint: Springer, 2018.
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  15. 15

    Probability, statistics, and random processes for engineers / by Stark, Henry

    Published Pearson, 2012
    Book
  16. 16

    Dynamic Neuroscience Statistics, Modeling, and Control /

    Published Springer International Publishing : Imprint: Springer, 2018.
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  17. 17

    Python for Probability, Statistics, and Machine Learning by Unpingco, José

    Published Springer International Publishing : Imprint: Springer, 2019.
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  18. 18

    Statistical methods in food and consumer research / by Gacula, Maximo C.

    Published Elsevier/Academic Press, 2009.
    Book
  19. 19

    Economic Systems Analysis: Statistical Indicators by Sibirskaya, Elena V., Oveshnikova, Lyudmila V., Mikheykina, Lilia A., Lyapina, Innara R.

    Published Springer International Publishing : Imprint: Springer, 2019.
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  20. 20

    Python for Probability, Statistics, and Machine Learning by Unpingco, José

    Published Springer International Publishing : Imprint: Springer, 2016.
    Full-text access
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