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Relevant bibliographies by topics / Statistical data science / Books

Books on the topic 'Statistical data science'

To see the other types of publications on this topic, follow the link: Statistical data science.

Author: Grafiati

Published: 10 December 2022

Last updated: 29 January 2023

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1

Statistical learning and data science. Boca Raton: CRC Press, 2012.

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2

Ismay, Chester, and Albert Y. Kim. Statistical Inference via Data Science. Boca Raton : Taylor and Francis, 2019. | Series: Chapman & hall/crc the r series: Chapman and Hall/CRC, 2019. http://dx.doi.org/10.1201/9780367409913.

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3

Statistical data analysis. Oxford: Clarendon Press, 1998.

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4

Chen, Ding-Geng, Jiahua Chen, Xuewen Lu, Grace Y. Yi, and Hao Yu, eds. Advanced Statistical Methods in Data Science. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2594-5.

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5

Petrucci, Alessandra, Filomena Racioppi, and Rosanna Verde, eds. New Statistical Developments in Data Science. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21158-5.

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6

D, Maddy, Brew J. S, and Quaternary Research Association, eds. Statistical modelling of quaternary science data. Cambridge: Quaternary Research Association, 1995.

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7

Commission, United Nations Statistical. Statistical data editing: Impact on data quality. New York: United Nations, 2006.

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8

Analyzing social science data. London: SAGE, 2002.

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9

Just plain data analysis: Finding, presenting, and interpreting social science data. 2nd ed. Lanham: Rowman & Littlefield Publishers, 2012.

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10

Statistics and data analysis for social science. Boston: Allyn & Bacon, 2012.

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11

Jennifer, Imazeki, ed. The data game: Controversies in social science statistics. 4th ed. Armonk, NY: Sharpe, 2012.

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12

The data game: Controversies in social science statistics. Armonk, N.Y: M.E. Sharpe, 1991.

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13

The data game: Controversies in social science statistics. 2nd ed. Armonk, NY: M.E. Sharpe, 1991.

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14

Todd, Easton, ed. The data game: Controversies in social science statistics. 3rd ed. Armonk, N.Y: M.E. Sharpe, 1999.

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15

Wallgren, Anders. Register-based statistics: Administrative data for statistical purposes. Chichester, UK: John Wiley & Sons, Ltd, 2007.

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16

China. Guo jia ke wei. Statistical data on science and technology of 1986. Beijing: The Commission, 1986.

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17

W, Mielke Paul, ed. Statistical Mining and Data Visualization in Atmospheric Sciences. Boston, MA: Springer US, 2000.

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18

Alan, Bryman, and Burgess Robert G, eds. Analyzing qualitative data. London: Routledge, 1994.

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19

Adams, Niall M., and Ed Cohen. Statistical Data Science. World Scientific Publishing Co Pte Ltd, 2018.

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20

Adams, Niall, and Edward Cohen. Statistical Data Science. WORLD SCIENTIFIC (EUROPE), 2017. http://dx.doi.org/10.1142/q0159.

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21

Gelman, Andrew, and Deborah Nolan. Statistical thinking in a data science course. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198785699.003.0021.

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Abstract:

In this chapter, we describe the philosophy, goals, syllabus, and activities for a course that we have developed in data science course. In this course we integrate topics from computing, statistics, and working with data. This integrated approach addresses many core aspects in statistics training, including statistical thinking, the role of context in addressing a statistical problem, statistical communication through code, and the balance between programming and mathematical approaches to problems. When designing this course, we asked ourselves what our students ought to be able to do computationally. While we do provide a list of technical material, we also considered the broader goals of the course. Examples include plotting on Google Earth and developing a spam filter for unwanted email.

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22

Filzmoser, Peter, Rudolf Dutter, Clemens Reimann, and Garrett Robert. Statistical Data Analysis Explained. Wiley & Sons, Incorporated, John, 2008.

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23

Li, Runze, Jianqing Fan, Cun-Hui Zhang, and Hui Zou. Statistical Foundation of Data Science. Taylor & Francis Group, 2020.

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24

Li, Runze, Jianqing Fan, Cun-Hui Zhang, and Hui Zou. Statistical Foundation of Data Science. Taylor & Francis Group, 2020.

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25

Murtagh, Fionn, Bernard Goldfarb, Catherine Pardoux, Mireille Gettler Summa, and Leon Bottou. Statistical Learning and Data Science. Taylor & Francis Group, 2011.

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26

Murtagh, Fionn, Bernard Goldfarb, Catherine Pardoux, Mireille Gettler Summa, and Leon Bottou. Statistical Learning and Data Science. Taylor & Francis Group, 2019.

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27

Fan, Jianqing, Runze Li, Cun-Hui Zhang, and Hui Zou. Statistical Foundations of Data Science. Chapman and Hall/CRC, 2020. http://dx.doi.org/10.1201/9780429096280.

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28

Li, Runze, Jianqing Fan, Cun-Hui Zhang, and Hui Zou. Statistical Foundation of Data Science. Taylor & Francis Group, 2020.

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29

Statistical Foundation of Data Science. Taylor & Francis Group, 2020.

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30

Li, Runze, Jianqing Fan, Cun-Hui Zhang, and Hui Zou. Statistical Foundation of Data Science. Taylor & Francis Group, 2020.

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31

Murtagh, Fionn, Bernard Goldfarb, Catherine Pardoux, Mireille Gettler Summa, and Leon Bottou. Statistical Learning and Data Science. Taylor & Francis Group, 2011.

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32

Summa, Mireille. Statistical Learning and Data Science. Taylor & Francis Group, 2012.

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33

Cowan, Glen. Statistical Data Analysis. Oxford University Press, 1998.

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34

Statistical modelling of quaternary science data. Cambridge: Quaternary Research Association, 1995.

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35

Chen, Jiahua, Hao Yu, Ding-Geng Chen, Xuewen Lu, and Grace Y. Yi. Advanced Statistical Methods in Data Science. Springer, 2018.

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36

Chen, Jiahua, Hao Yu, Ding-Geng Chen, Xuewen Lu, and Grace Y. Yi. Advanced Statistical Methods in Data Science. Springer, 2016.

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37

Filzmoser, Peter, Rudolf Dutter, Clemens Reimann, and Garrett Robert. Statistical Data Analysis Explained: Applied Environmental Statistics with R. Wiley & Sons, Incorporated, John, 2011.

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38

Filzmoser, Peter, Rudolf Dutter, Clemens Reimann, and Garrett Robert. Statistical Data Analysis Explained: Applied Environmental Statistics with R. Wiley & Sons, Incorporated, John, 2011.

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39

Filzmoser, Peter, Rudolf Dutter, Clemens Reimann, and Garrett Robert. Statistical Data Analysis Explained: Applied Environmental Statistics with R. Wiley & Sons, Incorporated, John, 2008.

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40

Filzmoser, Peter, Rudolf Dutter, Clemens Reimann, and Garrett Robert. Statistical Data Analysis Explained: Applied Environmental Statistics with R. Wiley & Sons, Limited, John, 2008.

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41

Taroni, Franco, Colin Aitken, Paolo Garbolino, Alex Biedermann, and Silvia Bozza. Data Analysis in Forensic Science. Wiley & Sons, Incorporated, John, 2010.

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42

Andrews, D. F., and J. E. Stafford. Symbolic Computation for Statistical Inference (Oxford Statistical Science Series). Oxford University Press, USA, 2000.

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43

Mandel, John. Statistical Analysis of Experimental Data. Dover Publications, Incorporated, 2012.

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44

Mandel, John. Statistical Analysis of Experimental Data. Dover Publications, Incorporated, 2012.

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45

Statistics and Data Analysis for Social Science. SAGE Publications, Incorporated, 2019.

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46

M, Cartwright Hugh, ed. Intelligent data analysis in science. Oxford: Oxford University Press, 2000.

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47

Logarithm, Mathematical & Statistical Tables: Science Data Book. Sura Books (Pvt) Ltd., 2007.

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48

Krieg, Eric J. Statistics and Data Analysis for Social Science. Pearson Education, Limited, 2011.

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49

Krieg, Eric J. Statistics and Data Analysis for Social Science. Pearson Education, Limited, 2012.

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50

Wallgren, Anders, and Britt Wallgren. Register-Based Statistics: Statistical Methods for Administrative Data. Wiley & Sons, Incorporated, John, 2014.

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