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SciPy Reference Guide, Release 0.8.dev [Ridders1979] Ridders, C. F. J. “A New Algorithm for Computing a Single Root of a Real Continuous Function.” IEEE Trans. Circuits Systems 26, 979-980, 1979. [R5] Wikipedia, “Analytic signal”. http://en.wikipedia.org/wiki/Analytic_signal [BJM] A.H. Baker and E.R. Jessup and T. Manteuffel, SIAM J. Matrix Anal. Appl. 26, 962 (2005). [BPh] A.H. Baker, PhD thesis, University of Colorado (2003). http://amath.colorado.edu/activities/thesis/allisonb/Thesis.ps [Sta07] “Statistics toolbox.” API Reference Documentation. The MathWorks. http://www.mathworks.com/access/helpdesk/help/toolbox/stats/. Accessed October 1, 2007. [Mti07] “Hierarchical clustering.” API Reference Documentation. The Wolfram Research, Inc. http://reference.wolfram.com/mathematica/HierarchicalClustering/<strong>tutorial</strong>/HierarchicalClustering.html. Accessed October 1, 2007. [Gow69] Gower, JC and Ross, GJS. “Minimum Spanning Trees and Single Linkage Cluster Analysis.” Applied Statistics. 18(1): pp. 54–64. 1969. [War63] Ward Jr, JH. “Hierarchical grouping to optimize an objective function.” Journal of the American Statistical Association. 58(301): pp. 236–44. 1963. [Joh66] Johnson, SC. “Hierarchical clustering schemes.” Psychometrika. 32(2): pp. 241–54. 1966. [Sne62] Sneath, PH and Sokal, RR. “Numerical taxonomy.” Nature. 193: pp. 855–60. 1962. [Bat95] Batagelj, V. “Comparing resemblance measures.” Journal of Classification. 12: pp. 73–90. 1995. [Sok58] Sokal, RR and Michener, CD. “A statistical method for evaluating systematic relationships.” Scientific Bulletins. 38(22): pp. 1409–38. 1958. [Ede79] Edelbrock, C. “Mixture model tests of hierarchical clustering algorithms: the problem of classifying everybody.” Multivariate Behavioral Research. 14: pp. 367–84. 1979. [Jai88] Jain, A., and Dubes, R., “Algorithms for Clustering Data.” Prentice-Hall. Englewood Cliffs, NJ. 1988. [Fis36] Fisher, RA “The use of multiple measurements in taxonomic problems.” Annals of Eugenics, 7(2): 179-188. 1936 [CRCProbStat2000] Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probablity and Statistics Tables and Formulae. Chapman & Hall: New York. 2000. [CRCProbStat2000] Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probablity and Statistics Tables and Formulae. Chapman & Hall: New York. 2000. [CRCProbStat2000] Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probablity and Statistics Tables and Formulae. Chapman & Hall: New York. 2000. [CRCProbStat2000] Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probablity and Statistics Tables and Formulae. Chapman & Hall: New York. 2000. [R30] D’Agostino, R. B. and Pearson, E. S. (1971), “An Omnibus Test of Normality for Moderate and Large Sample Size,” Biometrika, 58, 341-348 [R31] D’Agostino, R. B. and Pearson, E. S. (1973), “Testing for departures from Normality,” Biometrika, 60, 613-622 [R17] Lowry, Richard. “Concepts and Applications of Inferential Statistics”. Chapter 14. http://faculty.vassar.edu/lowry/ch14pt1.html [R18] Heiman, G.W. Research Methods in Statistics. 2002. [CRCProbStat2000] Zwillinger, D. and Kokoska, S. (2000). CRC Standard Probablity and Statistics Tables and Formulae. Chapman & Hall: New York. 2000. [R16] Lowry, Richard. “Concepts and Applications of Inferential Statistics”. Chapter 8. http://faculty.vassar.edu/lowry/ch8pt1.html 700 Bibliography
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