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Books on the topic 'Inferenza statistica'

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Published: 9 March 2023

Last updated: 11 March 2023

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1

Mukhopadhyay, Nitis. Probability and statistical inference. New York: Marcel Dekker, 2000.

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2

Tan, W. Y., and N. Balakrishnan, eds. Robust inference. New York, USA: M. Dekker, 1986.

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3

Statistical inference. Chestnut Hill, MA: Epidemiology Resources Inc., 1990.

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4

T, Jolliffe I., and Jones Byron 1951-, eds. Statistical inference. Oxford: Oxford University Press, 2002.

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5

Bromek, Tadeusz, and Elżbieta Pleszczyńska, eds. Statistical Inference. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0575-7.

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6

Panik, Michael J. Statistical Inference. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118309773.

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7

L, Berger Roger, ed. Statistical Inference. 2nd ed. Australia: Thomson Learning, 2002.

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8

Garthwaite, Paul H. Statistical inference. 2nd ed. Oxford: Oxford University Press, 2002.

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9

Oakes, Michael W. Statistical inference. Chestnut Hill, MA: Epidemiology Resources Inc., 1990.

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10

Silvey, S. D. Statistical inference. London: Chapman and Hall, 1988.

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11

L, Berger Roger, ed. Statistical inference. Pacific Grove, Calif: Brooks/Cole Pub. Co., 1990.

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12

Garthwaite, Paul H. Statistical inference. London: Prentice Hall, 1995.

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13

Statistical inference: An integrated Bayesian/likelihood approach. Boca Raton: Chapman & Hall/CRC, 2010.

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14

Akahira, Masafumi. Statistical inference of records and related statistics: Tanki kyōdō kenkyū. [Kyoto]: Kyōto Daigaku Sūri Kaiseki Kenkyūjo, 2005.

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15

Subhabrata, Chakraborti, ed. Nonparametric statistical inference. 3rd ed. New York: M. Dekker, 1992.

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16

Nonparametric statistical inference. 2nd ed. New York: M. Dekker, 1985.

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17

Deshmukh, Shailaja, and Madhuri Kulkarni. Asymptotic Statistical Inference. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9003-0.

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18

Caliński, T., and W. Klonecki, eds. Linear Statistical Inference. New York, NY: Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4615-7353-1.

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19

Held, Leonhard, and Daniel Sabanés Bové. Applied Statistical Inference. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-37887-4.

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20

Gibbons, Jean Dickinson, and Subhabrata Chakraborti. Nonparametric Statistical Inference. 6th edition. | Boca Raton : CRC Press, 2021.: Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9781315110479.

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21

Silvapulle, Mervyn J., and Pranab K. Sen. Constrained Statistical Inference. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2001. http://dx.doi.org/10.1002/9781118165614.

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22

Boos, Dennis D., and L. A. Stefanski. Essential Statistical Inference. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4818-1.

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23

Dickhaus, Thorsten. Simultaneous Statistical Inference. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-45182-9.

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24

Paolella, Marc S., ed. Fundamental Statistical Inference. Chichester, UK: John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119417897.

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25

Barnett, Vic, ed. Comparative Statistical Inference. Hoboken, NJ, USA: John Wiley & Sons, Inc., 1999. http://dx.doi.org/10.1002/9780470316955.

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26

Subhabrata, Chakraborti, ed. Nonparametric statistical inference. 4th ed. New York: Marcel Dekker, 2003.

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27

Barnett, Vic. Comparative statistical inference. 3rd ed. Chichester: Wiley, 1999.

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28

Lindsey, James K. Parametric statistical inference. Oxford: Clarendon Press, 1996.

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29

Introductory statistical inference. Boca Raton: Taylor & Francis, 2006.

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30

Gomez-Rubio, Virgilio. Bayesian Inference with INLA. Boca Raton, Florida, USA: Taylor & Francis Group, 2020.

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31

Inferenza Statistica. Springer Verlag, 1992.

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32

Malacrida, Simone. Esercizi di matematica: Inferenza statistica. CreateSpace Independent Publishing Platform, 2016.

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33

Capaccioli, David. inferenza Statistica Non é (più) un Problema. Independently Published, 2022.

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34

Azzalini, A. Inferenza statistica: Una presentazione basata sul concetto di verosimiglianza (UNITEXT / Collana di Statistica e Probabilità Applicata). 2nd ed. Springer, 2004.

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35

Azzalini, A. Inferenza Statistica: Un'Introduzione Basata Sul Concetto Di Verosimiglianza (Springer-Collana Di Stastica). Springer-Verlag, 1992.

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36

Team, MDST242 Course. Statistical Inference (Statistics in Society). 2nd ed. Open University Worldwide, 1996.

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37

Team, MDST242 Course. Statistical Inference (Statistics in Society). 2nd ed. Open University Worldwide, 1996.

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38

Team, MDST242 Course. Statistical Inference (Statistics in Society). 3rd ed. Open University Worldwide, 1996.

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39

Team, MDST242 Course. Statistical Inference (Statistics in Society). 2nd ed. Open University Worldwide, 1996.

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40

Team, MDST242 Course. Statistical Inference (Statistics in Society). 2nd ed. Open University Worldwide, 1996.

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41

Nguyen, Hung T., and Gerald S. Rogers. Fundamentals of Mathematical Statistics: Statistical Inference. Springer, 2011.

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42

Solutions Manual for Introductory Statistical Inference (Statistics:). Chapman & Hall/CRC, 2006.

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43

Statistical Inference and Statistical Relationship (Statistical Inference & Statistical Relationship). 4th ed. Hafner Press, 1986.

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44

Wang, Charmont. Sense and Nonsense of Statistical Inference (Popular Statistics). CRC, 1992.

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45

Fundamentals of Mathematical Statistics: Vol. 2: Statistical Inference. Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 1989.

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46

Silvey, S. D. Statistical Inference. CRC Press LLC, 2017.

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47

Panik, Michael J. Statistical Inference. Wiley & Sons, Incorporated, John, 2012.

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48

Gelman, Andrew, and Deborah Nolan. Statistical inference. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785699.003.0009.

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Abstract:

This chapter begins with a very successful demonstration that illustrates many of the general principles of statistical inference, including estimation, bias, and the concept of the sampling distribution. Students each take a “random” sample of different size candies, weigh them, and estimate the total weight of all candies. Then various demonstrations and examples are presented that take the students on the transition from probability to hypothesis testing, confidence intervals, and more advanced concepts such as statistical power and multiple comparisons. These activities include use an inflatable globe, short-term memory test, first digits of street addresses, and simulated student IQs.

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49

Migon, Helio S., Dani Gamerman, and Francisco Louzada. Statistical Inference. Chapman and Hall/CRC, 2014. http://dx.doi.org/10.1201/b17229.

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50

Azzalini. Statistical Inference. Kluwer Academic Publishers Group, 1995.

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