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Books on the topic 'Statisticl analysis'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Statistical data analysis. Oxford: Clarendon Press, 1998.

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2

Morrison, Donald F. Multivariate statistical methods. 3rd ed. New York: McGraw-Hill, 1990.

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3

Multivariate statistical methods. 4th ed. Belmont, CA: Thomson/Brooks/Cole, 2005.

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4

Methods of multivariate statistics. New York: Wiley-Interscience, 2002.

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5

W, Hardin James, ed. Common errors in statistics (and how to avoid them). Hoboken, NJ: Wiley-Interscience, 2003.

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6

Multivariate statistical analysis. 2nd ed. New York: Marcel Dekker, 2004.

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7

Multivariate statistical analysis. New York: M. Dekker, 1996.

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8

Tabachnick, Barbara G. Using multivariate statistics. 4th ed. Boston, Mass: Allyn and Bacon, 2001.

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9

Tabachnick, Barbara G. Using multivariate statistics. 2nd ed. New York: HarperCollins, 1989.

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10

S, Fidell Linda, ed. Using multivariate statistics. 4th ed. Boston MA: Allyn and Bacon, 2001.

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11

Hans, Riedwyl, ed. Multivariate statistics: A practical approach. London: Chapman and Hall, 1988.

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12

W, Wichern Dean, ed. Applied multivariate statistical analysis. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1992.

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13

W, Wichern Dean, ed. Applied multivariate statistical analysis. 4th ed. Upper Saddle River, N.J: Prentice Hall, 1998.

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14

W, Wichern Dean, ed. Applied multivariate statistical analysis. 5th ed. Upper Saddle River, N.J: Prentice Hall, 2002.

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15

Johnson, Richard Arnold. Applied multivariate statistical analysis. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1988.

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16

Sprinthall, Richard C. Basic statistical analysis. 4th ed. Boston: Allyn and Bacon, 1994.

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17

Basic statistical analysis. 2nd ed. Englewood Cliffs, N.J: Prentice-Hall, 1987.

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18

Sprinthall, Richard C. Basic statistical analysis. 5th ed. Boston: Allyn and Bacon, 1997.

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19

Sprinthall, Richard C. Basic statistical analysis. 7th ed. Boston, MA: Allyn and Bacon, 2003.

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20

Basic statistical analysis. 6th ed. Boston: Allyn and Bacon, 2000.

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21

Basic statistical analysis. 3rd ed. Englewood Cliffs, N.J: Prentice Hall, 1990.

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22

Tabachnick, Barbara G. Using multivariate statistics. 2nd ed. New York: Harper & Row, 1989.

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23

S, Fidell Linda, ed. Using multivariate statistics. 5th ed. Boston: Pearson/Allyn & Bacon, 2007.

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24

Tabachnick, Barbara G. Using multivariate statistics. 4th ed. Boston, MA: Allyn and Bacon, 2000.

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25

S, Fidell Linda, ed. Using multivariate statistics. 3rd ed. New York, NY: HarperCollins College Publishers, 1996.

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26

Harris, Richard J. A primer of multivariate statistics. 2nd ed. Orlando: Academic Press, 1985.

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27

Harris, Richard J. A primer of multivariate statistics. 2nd ed. Orlando: Academic Press, 1985.

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28

A primer of multivariate statistics. 3rd ed. Mahwah, N.J: Lawrence Erlbaum Associates, 2001.

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29

Applied statistics: Using SPSS, STATISTICA, and MATLAB. Berlin: Springer, 2003.

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30

Bulinski, Alexander, ed. Encyclopaedia of Applied Statistics: Using SPSS, Statistica and Matlab: Using SPSS, Statistica and Matlab (3 Volumes). USA: Koros Press Limited, 2015.

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31

Retherford, Robert D. Statistical models for causal analysis. New York: Wiley, 1993.

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32

Lloyd, Chris J. Statistical analysis of categorical data. New York: Wiley, 1999.

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33

Sprinthall, Richard C. Basic statistical analysis. 5th ed. Boston: Allyn and Bacon, 1997.

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34

J, Layne Larry, Ord J. K, and Sone Akio, eds. A casebook for spatial statistical data analysis: A compilation of analyses of different thematic data sets. New York: Oxford University Press, 1999.

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35

Basic statistical analysis. Boston: Allyn & Bacon, 2011.

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36

Applied statistics: Using SPSS, Statistica, MATLAB, and R. 2nd ed. Berlin: Springer, 2007.

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37

Hamburg, Morris. Statistical analysis for decision making. 4th ed. San Diego: Harcourt Brace Jovanovich, 1987.

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38

Statistical analysis for decision making. 5th ed. London: Harcourt Brace, 1991.

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39

Hamburg, Morris. Statistical analysis for decision making. 6th ed. Fort Worth: Dryden Press, 1993.

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40

V, Mardia K., ed. Statistical shape analysis. Chichester: John Wiley & Sons, 1998.

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41

Multivariate statistical analysis. Singapore: World Scientific, 2009.

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42

Statistical spectral analysis. Englewood Cliffs (N.J.): Prentice Hall, 1988.

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43

Alwan, Layth C. Statistical process analysis. Boston: Irwin/McGraw-Hill, 2000.

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44

Serdobolskii, V. Multivariate Statistical Analysis. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-015-9468-4.

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45

Chaos: A Statistical Perspective (Springer Series in Statistics). Springer, 2001.

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46

Konishi, Sadanori, and Genshiro Kitagawa. Information Criteria and Statistical Modeling (Springer Series in Statistics). Springer, 2007.

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47

Sanz-L�zaro, Carlos. Graphical representation and statistical analysis of data. Universidad de Alicante, 2018. http://dx.doi.org/10.14198/graphical-representation-and-statistical-analysis-of-data.

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48

Miksza, Peter, and Kenneth Elpus. Descriptive Analysis. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0004.

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Descriptive statistics allow researchers to use numbers to begin to tell the stories that exist in their data. This chapter presents an overview of the basic statistical tools researchers can use to summarize, display, and interpret data. The chapter presents guidelines for interpreting data and examples of typical sorts of data that music education researchers may gather. Statistical analyses suitable for identifying how data are distributed, determining typical values of a distribution, and describing how individuals differ on measured variables of interest are described. Approaches for graphing data that are appropriate for variables of different measurement scales are also described.

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49

Sharif, Shamshuritawati, Hazlina Ali, and Sharipah Soaad Syed Yahaya. Multivariate statistic for researchers. UUM Press, 2016. http://dx.doi.org/10.32890/9789670876764.

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This book is a valuable resource for those engaged in multivariate statistical techniques. Most chapters include a set of problems and solution that enable readers to overcome the drawback of the classical techniques.It covers a theoretical disadvantage of correlation and covariance test, Hotellings T2 statistic, local influence, and linear discriminant analysis to inspire new or young researchers with new ideas for theoretical improvement.This book is also worthy for people who want to learn multivariate statistics extensively.

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50

Statistical Methods for Spatial Planning and Monitoring Contributions to Statistics. Springer, 2012.

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