The ubiquitous angle

Journal of the Royal Statistical Society. Series A: Statistics in Society

Volumn 168, Issue 1, 2005, Pages 95-107

  Wood, Graham R ^a   Saville, David J ^b  

^a MACQUARIE UNIVERSITY   (Australia)

^b AGRESEARCH LTD   (New Zealand)

Author keywords

Analysis of variance contrasts; Correlation coefficient; F test; Independent samples t test; Linear algebra; Linear models; p value; Regression; t test; Vector geometry

Indexed keywords

EID: 12844261118     PISSN: 09641998     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-985X.2004.00338.x     Document Type: Article

References (8)

1. Chance, W. A. (1986) A geometric derivation of the distribution of the correlation coefficient |r| when η = 0. Am. Math. Mnthly, 93, 94-98.
2. Fisher Box, J. (1978) R. A. Fisher: the Life of a Scientist. New York: Wiley.
3. Heiberger, R. M. (1989) Computation for the Analysis of Designed Experiments. New York: Wiley.
4. Math Works (1992) MATLAB Reference Guide. Natick: MathWorks.
5. Saville, D. J. and Wood, G. R. (1986) A method for teaching statistics using N-dimensional geometry. Am. Statistn. 40, 205-214.
6. Saville, D. J. and Wood, G. R. (1991) Statistical Methods: the Geometric Approach. New York: Springer.
7. Saville, D. J. and Wood, G. R. (1996) Statistical Methods: a Geometric Primer. New York: Springer.
8. Wood, G. R. and Saville, D. J. (2002) A new angle on the t-test. Statistician, 51, 99-104.