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1

Maritz, J. S. Distribution-free statistical methods. 2nd ed. Chapman & Hall, 1995.

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2

Evans, Merran. Statistical distributions. 2nd ed. J. Wiley, 1993.

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3

Neave, Henry R. Distribution-free tests. Routledge, 1992.

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4

L, Worthington P., ed. Distribution-free tests. Unwin Hyman, 1988.

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5

Smith, Graham. DISTRB: A statistical distribution library. School of Mechanical and Industrial Engineering. University of New South Wales, 1985.

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6

Patel, Jagdish K. Handbook of statistical distributions. University Microfilms International, 1992.

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7

Moir, Christopher. Distribution. Chapman & Hall, 1992.

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8

Liese, Friedrich. Convex statistical distances. B.G. Teubner Verlagsgesellschaft, 1987.

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9

J, Dudewicz Edward, ed. Fitting statistical distributions: The Generalized Lambda Distribution and Generalized Bootstrap methods. CRC Press, 2000.

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10

Huber, Peter J. Robust statistical procedures. 2nd ed. Society for Industrial and Applied Mathematics, 1996.

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11

M, Cuadras C., Fortiana Josep, and Rodriguez-Lallena José A, eds. Distributions with given marginals and statistical modelling. Kluwer Academic Publishers, 2002.

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12

Seshadri, V. The inverse Gaussian distribution: Statistical theory and applications. Springer, 1999.

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13

Bagui, Subhash C. CRC Handbook Of Percentiles Of Non-Central t-Distribution: First edition. CRC Press, 1993.

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14

Geisser, Seymour. Modes of parametric statistical inference. Wiley-Interscience, 2006.

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15

O, Johnson Wesley, ed. Modes of parametric statistical inference. Wiley, 2005.

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16

Krauth, Joachim. Distribution-free statistics: An application-orientated approach. Elsevier, 1988.

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17

Krauth, Joachim. Distribution-free statistics: An application-oriented approach. Elsevier, 1988.

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18

Fauzi, Rizky Reza, and Yoshihiko Maesono. Statistical Inference Based on Kernel Distribution Function Estimators. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1862-1.

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19

Geisser, Seymour. Modes of parametric statistical inference. Wiley, 2004.

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20

Heldt, John J. Quality sampling and reliability: New uses for the poisson distribution. St. Lucie Press, 1999.

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21

Feigelson, Eric D. Statistical Challenges in Modern Astronomy. Springer New York, 1992.

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22

Paun, Mihaela. Measures of economic inequality: Statistical inequality with applications. SBEB Pub., 2008.

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23

Arnold, Barry C. Conditional specification of statistical models. Springer, 1999.

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24

Lavis, D. A. Statistical mechanics of lattice systems. 2nd ed. Springer, 2010.

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25

Koutras, Markos V., and Ioannis S. Triantafyllou, eds. Distribution-Free Methods for Statistical Process Monitoring and Control. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-25081-2.

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26

Evans, Michael J. The surprise distribution and some uses in statistical inference. University of Toronto, Dept. of Statistics, 1992.

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27

Anderson, T. W., and K. T. Fang, eds. Statistical Inference in Elliptically Contoured and Related Distributions. Allerton Press, 1990.

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28

Kai-Tang, Fang, and Anderson T. W. 1918-, eds. Statistical inference in elliptically contoured and related distributions. Allerton Press, 1990.

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29

Liese, Friedrich. Convex statistical distances. Teubner, 1987.

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30

Vapnik, Vladimir Naumovich. The Nature of Statistical Learning Theory. Springer New York, 1995.

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31

Karian, Zaven A. Handbook of fitting statistical distributions with R. CRC Press, 2011.

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32

Chan, Kung-sik. Chaos: A Statistical Perspective. Springer New York, 2001.

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33

1955-, Morris Martina, ed. Relative distribution methods in the social sciences. Springer, 1999.

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34

Jaynes, E. T. E.T. Jaynes: Papers on probability, statistics and statistical physics. Kluwer, 1989.

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35

Hastings, Nicholas, Brian Peacock, Merran Evans, and Catherine Forbes. Statistical Distributions. Wiley & Sons, Incorporated, John, 2011.

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36

Hastings, Nicholas, Brian Peacock, Merran Evans, and Catherine Forbes. Statistical Distributions. Wiley & Sons, Incorporated, John, 2011.

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37

Hastings, Nicholas, Brian Peacock, Merran Evans, and Catherine Forbes. Statistical Distributions. Wiley & Sons, Incorporated, John, 2011.

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38

Hastings, Nicholas, Brian Peacock, Merran Evans, and Catherine Forbes. Statistical Distributions. Wiley & Sons, Incorporated, John, 2011.

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39

Hastings, Nicholas, Brian Peacock, Merran Evans, and Catherine Forbes. Statistical Distributions. Wiley & Sons, Incorporated, John, 2010.

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40

Dudewicz, Edward J., and Zaven A. Karian. Fitting Statistical Distributions. Taylor & Francis Group, 2019.

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41

Nevzorov, V. B., and N. Balakrishnan. Primer on Statistical Distributions. Wiley & Sons, Incorporated, John, 2004.

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42

Nevzorov, V. B., and Narayanaswamy Balakrishnan. Primer on Statistical Distributions. Wiley & Sons, Incorporated, John, 2005.

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43

Handbook of statistical distributions with applications. Chapman & Hall/CRC, 2005.

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44

Krishnamoorthy, K. Handbook of Statistical Distributions with Applications. Taylor & Francis Group, 2020.

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45

Seshadri, V. The Inverse Gaussian Distribution: Statistical Theory and Applications (Lecture Notes in Statistics). Springer, 1998.

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46

Maritz, J. S. Distribution-Free Statistical Methods, Second Edition. Taylor & Francis Group, 2020.

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47

Maritz, J. S. Distribution-Free Statistical Methods, Second Edition. Taylor & Francis Group, 2020.

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48

Maritz, J. S. Distribution-Free Statistical Methods, Second Edition. Taylor & Francis Group, 2020.

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49

Maritz, J. S. Distribution-Free Statistical Methods, Second Edition. Taylor & Francis Group, 2020.

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50

Excel - Statistical Formulas for T Distribution. Starttech Educational Services LLP, 2021. http://dx.doi.org/10.4135/9781529630220.

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