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Graphical Aids for Statistical Data Analysis

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Abstract

Graphical methods are best explained by working through examples. In this chapter we shall conduct a preliminary analysis of a data set on neonatal mortality. Data on the birth of 3331 children were registered from 1990 to 1992 at Clinique Saint Luc, Brussels, Belgium (Ritter and Bouckaert, 1993). Of these newborns, 56 died in utero, at birth, or within the first seven days after birth. Table 4.1 shows an excerpt of the data matrix.

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References

  • Chambers, J.M., Cleveland, W.S., Kleiner, B., Tukey, P.A. (1983). Graphical Methods for Data. Analysis, Duxbury Press, Boston.

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  • Ritter, C., Bouckaert, A. (1993). Modeling the morbidity of newborns. Submitted for publication. Available as manuscript from authors.

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  • Scott, D. W. (1992). Multivariate Density Estimation: Theory, Practice, and Visualization, John Wiley & Sons, New York, Chichester.

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  • Stuetzle, W. (1987). Plot windows, Journal of the American Statistical Association 82(398): 466 –475.

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© 1995 Springer-Verlag New York, Inc.

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Klinke, S., Ritter, C. (1995). Graphical Aids for Statistical Data Analysis. In: XploRe: An Interactive Statistical Computing Environment. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-4214-7_4

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  • DOI: https://doi.org/10.1007/978-1-4612-4214-7_4

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-8699-8

  • Online ISBN: 978-1-4612-4214-7

  • eBook Packages: Springer Book Archive

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