No CrossRef data available.
Article contents
98.34 The definition of the sample variance
Published online by Cambridge University Press: 25 August 2015
Abstract
An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.
![Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Aarticle%3AS0025557200008317/resource/name/firstPage-S0025557200008317a.jpg)
- Type
- Notes
- Information
- Copyright
- Copyright © The Mathematical Association 2014
References
1.
Johnson, R.A., Miller & Freund’s probability and statistics for engineers (8th edn.), Prentice Hall (2011).Google Scholar
2.
Montgomery, D.C., Runger, G.C. and Hubele, N.F., Engineering statistics (3rd edn.), Wiley (2004).Google Scholar
4.
Sahai, H. and Misra, S., Definitions of sample variance: Some teaching problems to be overcome, The Journal of the Royal Statistical Society, Series D, 41 (1992) pp. 55–64.Google Scholar
5.
Joarder, A.H., Sample variance and first-order differences of observations, The Mathematical Scientist, 28 (2003) pp. 129–133.Google Scholar
6.
Devore, J.L., Probability and statistics for engineering and the sciences (8th edn.), Brooks/Cole (2012).Google Scholar
7.
Brase, C.H. and Brase, C.P., Understandable statistics: concepts and methods (10th edn.), Brooks/Cole (2012).Google Scholar
9.
Rayner, J.C.W. and Best, D.J., What divisor for the sample variance?
Teaching Statistics, 13 (1991) pp. 85–87.Google Scholar
10.
Kutner, M.H., Nachtsheim, C.J., Neter, J., and Li, W., Applied linear models (5th edn.), McGraw-Hill (2005).Google Scholar
13.
Gibbons, J.D., Nonparametric statistical inferences (2nd edn., revised and expanded), Marcel Dekker (1985).Google Scholar
14.
Hollander, M. and Wolfe, D.A., Nonparametric statistical methods (2nd edn.), Wiley (1999).Google Scholar
15.
Farnsworth, D.L., A cautionary note concerning the Cox and Stuart test, Teaching Statistics, 23 (2001) pp. 76–79.Google Scholar