REFERENCES AND BIBLIOGRAPHY

1. Kendall, M.G. & Stuart, A. Advanced Theory of Statistics: (1969) Vol. 1 Distribution Theory; (1973) Vol. 2 Inference and Relationship; (1976) Vol. 3 Design and Analysis, and Time-Series, Charles Griffin, London. A massive piece of scholarship; heavy going, but many worked examples.
2. Siegel, S., 1956. Nonparametric Statistics for the Behavioural Sciences, McGraw Hill Kogakusha, Tokyo. Elementary in the extreme; a mine of information on non-parametric methods. No theory or justification at all, but many references to the original papers. Everything illustrated by thoroughly worked examples.
3. The Fontana Dictionary of Modern Thought 1976, Eds Bullock, A. & Stallybrass, O., Fontana Books, London. Filled with interesting things, most of which have nothing to do with (and are far more fascinating than) statistics.
4. Martin, B.R., 1971. Statistics for Physicists, Academic Press, London. Very concise, readable and fairly rigorous; a number of worked examples.
5. Jauncey, D.L., 1968. Astrophys. J., 152, 647.
6. Davenport, W.B. & Root, W.L., 1958. An Introduction to the Theory of Random Signals and Noise, McGraw-Hill, New York.
7. Schwartz, M. & Shaw, L., 1975. Signal Processing: Discrete Spectral Analysis, Detection, and Estimation, McGraw-Hill, New York. Both these works contain much information on statistical/information/sampling theory, autocorrelation, physics of noise, etc.
8. Martin, M.A., 1959. IRE Trans. Space Electron. Telem. SET-5, p. 33.
9. Bevington, P.R., 1969. Data Reduction and Error Analysis for the Physical Sciences, McGraw-Hill, New York. An extremely useful book, elementary, very readable, with straightforward (but non-rigorous) justifications and explanations, many worked and many relevant computer subroutines (FORTRAN).
10. Wall, J.V., 1973. Proc. astr. Soc. Aust., 2, 195.