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Books on the topic 'Multivariate analysis of variance MANOVA'

Author: Grafiati

Published: 4 June 2021

Last updated: 19 February 2022

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1

Stephen, Olejnik, and Huberty Carl J. 1934-, eds. Applied MANOVA and discriminant analysis. 2nd ed. Hoboken, NJ: Wiley-Interscience, 2006.

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2

E, Maxwell Scott, ed. Multivariate analysis of variance. Beverly Hills: Sage Publications, 1985.

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3

Bray, James, and Scott Maxwell. Multivariate Analysis of Variance. 2455 Teller Road, Newbury Park California 91320 United States of America: SAGE Publications, Inc., 1985. http://dx.doi.org/10.4135/9781412985222.

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4

Srivastava, M. S. Generalized multivariate analysis of variance models. Toronto: University of Toronto, Dept. of Statistics, 1997.

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5

Hand, D. J., and C. C. Taylor. Multivariate Analysis of Variance and Repeated Measures. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3143-5.

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6

Helmut, Norpoth, ed. Analysis of variance. 2nd ed. Newbury Park: Sage Publications, 1987.

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7

Bernstein, Ira H. Applied multivariate analysis. New York: Springer-Verlag, 1987.

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8

Bernstein, Ira H. Applied multivariate analysis. New York: Springer-Verlag, 1988.

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9

Pynnönen, Seppo. Testing for additional information in variables in multivariate normal classification with unequal covariance matrices. Vaasa: Universitas Wasaensis, 1988.

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10

1949-, Dunn G., and Everitt Brian, eds. Applied multivariate data analysis. London: E. Arnold, 1991.

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11

1949-, Dunn G., ed. Applied multivariate data analysis. New York: Oxford University Press, 1992.

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12

1949-, Dunn G., ed. Applied multivariate data analysis. 2nd ed. London: Arnold, 2001.

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13

Hox, J. J. Applied multilevel analysis. 2nd ed. Amsterdam: TT-Publikaties, 1995.

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14

Klemelä, Jussi. Smoothing of multivariate data: Density estimation and visualization. Hoboken, N.J: Wiley, 2008.

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15

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

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16

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

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17

Methods for statistical data analysis of multivariate observations. 2nd ed. New York, NY: Wiley, 1997.

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18

1943-, Taylor C. C., ed. Multivariate analysis of variance and repeated measures: A practical approach for behavioural scientists. London: Chapman and Hall, 1987.

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19

Handbook of univariate and multivariate data analysis with IBM SPSS. Boca Raton: Taylor & Francis, 2014.

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20

Crowder, M. J. Analysis of repeated measures. London: Chapman and Hall, 1990.

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21

J, Hand D., ed. Analysis of repeated measures. London: Chapman and Hall, 1990.

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22

Jacques, Herman. Analyse de données qualitatives. Paris: Masson, 1986.

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23

Handbook of univariate and multivariate data analysis and interpretation with SPSS. Boca Raton: Chapman & Hall/CRC, 2006.

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24

Press, S. James. Applied multivariate analysis: Using Bayesian and frequentist methods of inference. Mineola, N.Y: Dover Publications, 2005.

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25

Srivastava, M. S. Comparison of the CUSUM procedure with other procedures that detect an increase in the variance and a fast accurate approximation for the ARL of the CUSUM procedure. Toronto: University of Toronto, Dept. of Statistics, 1992.

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26

Ilk, Ozlem. Multivariate Longitudinal Data Analysis: Models For Binary Response And Exploratory Tools For Binary And Continuous Response. Saarbrucken, Germany: VDM Verlag, 2008.

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27

Handbook of mixed membership models and their applications. Boca Raton: CRC Press, Taylor & Francis Group, 2015.

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28

Henley, Andrew. Multivariate analysis of variance of consumption data from a British time-of-use electricity pricing experiment. Canterbury: University of Kent at Canterbury, 1993.

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29

Applied multilevel analysis: A practical guide. Cambridge, UK: Cambridge University Press, 2006.

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30

Rose, Jennifer S., Laurie Chassin, Clark C. Presson, and Steven J. Sherman, eds. Multivariate Applications In Substance Use Research: New Methods For New Questions. New York, USA: Psychology Press, 2000.

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31

J, Kim John, ed. Effect sizes for research: Univariate and multivariate applications. 2nd ed. New York: Psychology Press, 2012.

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32

Herman, Jacques. Analyse de données qualitatives. Paris: Masson, 1986.

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33

Dag, Sörbom, and Scientific Software International, eds. PRELIS 2: User's reference guide : a program for multivariate data screening and data summarization : a preprocessor for LISREL. Chicago, IL: Scientific Software International, 1996.

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34

Sakamoto, Y. Categorical data analysis by AIC. Tokyo: KTK Scientific Publishers, 1991.

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35

1946-, Ishiguro M., and Kitagawa G. 1948-, eds. Akaike information criterion statistics. Tokyo: KTK Scientific Publishers, 1986.

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36

Gelman, Andrew. Regression and Other Stories. Cambridge, UK: Cambridge University Press, 2020.

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37

Sharma, H. L. Experimental Designs And Survey Sampling: Methods And Applications. Udaipur, Rajasthan, India: Agrotech Publishing Academy, 2010.

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38

Generalized Inference in Repeated Measures: Exact Methods in MANOVA and Mixed Models. Wiley-Interscience, 2004.

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39

Miksza, Peter, and Kenneth Elpus. Design and Analysis of Experimental Research II. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199391905.003.0009.

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Abstract:

This chapter introduces the reader to more possibilities for thinking about causal questions and for laying the foundational concepts necessary for conducting data analyses that correspond to more complex experimental designs. The discussion of experimental design types presented in chapter 8 is expanded to include within-subjects designs, factorial designs, mixed designs, and designs for multivariate outcomes. Prototypical examples of each design type are presented along with the typical analysis tools used for testing the associated experimental hypotheses. Hypothetical examples of research designs that are suitable for illustrating analyses with repeated-measures ANOVA, factorial or multiway ANOVA, and MANOVA (multivariate analysis of variance).

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40

Bernstein, Ira H., Calvin P. Garbin, and Gary K. Teng. Applied Multivariate Analysis. Springer, 2011.

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41

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2015.

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42

Applied Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Limited, John, 2016.

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43

Denis, Daniel J. Applied Univariate, Bivariate, and Multivariate Statistics. Wiley & Sons, Incorporated, John, 2015.

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44

NOllau, V. Statistische Analysen: Mathematische Methoden der Planung und Auswertung von Versuchen. Birkhäuser, 2013.

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45

Everitt, Brian, and Graham Dunn. Applied Multivariate Data Analysis. Edward Arnold, 1995.

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46

1944-, Hoaglin David C., Mosteller Frederick 1916-, and Tukey John Wilder 1915-, eds. Fundamentals of exploratory analysis of variance. New York: Wiley, 1991.

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47

Tang, Kezhen Linda. Robustness of four multivariate tests under variance-covariance heteroscedasticity. 1989.

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48

Iversen, Gudmund R., and Helmut Norpoth. Analysis of Variance (Sage Policy Paper). Sage Publications, 1987.

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49

B, Clarkson Douglas, ed. S+ functional data analysis: User's manual for Windows. New York: Springer Science+Business Media, 2005.

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50

Clarkson, Douglas B., Chris Fraley, Charles C. Gu, and James O. Ramsay. S+Functional Data Analysis: User's Manual for Windows ®. Springer, 2005.

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