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XRDQUAL-- A Probalistic and Least Squares Search/Match Procedure

Published online by Cambridge University Press:  06 March 2019

William R. Clayton*
Affiliation:
Research Chemist International Fertilizer Development Center P.O. Box 2040 Muscle Shoals, Alabama 35662
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Extract

A series of computer programs have been written (collectively called XRDQUAL) for automated identification of XRD patterns. The algorithms used in XRDQUAI, have been selected for maximum compatibility with computerbased calculations and decisions, XRDQUAI relies heavily on probabilistic logic and calculations. The overall sequence used can be divided into three general steps.

Type
Research Article
Copyright
Copyright © International Centre for Diffraction Data 1985

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References

1. JCPDS-International Centre for Diffraction Data, 1601 Park Lane, Swarthmore, Pennsylvania, 19081.Google Scholar
2. Edmonds, J.W., and Henslee, W.W.. 1979. Advances in X-ray Analysis, Vol. 22, p. 143, Plenum Press, New York and London.Google Scholar
3. Schreiner, W. N;, Surdukowski, C., and Jenkins, R.. 1982. J. Appl. Cryst., 15: 524530.Google Scholar
4. JCPDS. 1977. Frequently Encountered Phases, Search Manual.Google Scholar
5. Draper, N.-R., and Smith, H.. 1968. Applied Regression Analysis, 1st Edition, John Wiley and Sons, New York, New York.Google Scholar
6. Hamilton, W.C. 1964. Statistics in Physical Science, The Ronald Press Co., New York, New York.Google Scholar
7. Koehler, K.J. 1983. Technometrics, 25(1):103105.Google Scholar
8. Nie, N.H. SPSS: Statistical Package for the Social Sciences, 2nd Edition, p. 324, McGraw-Hill Book Company, New York, Hew York.Google Scholar