I don't think that the term "semi-quantitative" is defined sharp enough
to provide a basis for a serious statistical evaluation. In geosciences
typically "semi-quantitative" is attributed to data where an estimation
of errors is missing, that have been never cross-checked by an
independent method, and so they are suspected to be biased by serious
systematic errors. If so, than datasets originating from different
sources cannot be treated seriously together in a statistical
evaluation, per definition. In the best case, they can be used to
compare samples of one series measured with the same instrument and
analyzed by the same procedure. Unfortunately many authors report "wt%"
even in "semi-quantitative" phase analysis, what suggests compatibility.
This is misleading and should be avoided. For the statistical evaluation
of a series of comparably measured diffraction patterns of one
geological object it seems more serious to apply cluster analysis of the
raw patterns or to use any intensity ratios. But of course the best way
is to improve the evaluation method to be really "quantitative", i.e.
free of systematic error and evaluated by realistic e.s.d.'s.
Reinhard Kleeberg
Am 13/11/2014 18:53, schrieb James Talbot:
Hello All,
I had the following request from a client:
"I am looking for examples of statistics used on semi-quantitative
data, i.e. comparing XRD results of multiple samples. Do you have any
recommendations or know of any papers that clearly explain their
statistical methods? In so many papers, it is glossed over. I have a
pretty good handle on my stats, but would prefer to see what other
have done with XRD datasets."
Can anyone help with this.? I do not know of any of the top of my head.
Thanks in advance,
James Talbot
K-T GeoServices, Inc.
970-641-1235 (office)
940-597-9076 (mobile)
219 North Iowa Street, Unit J
Gunnison CO 81230-2479
www.ktgeo.com
--
TU Bergakademie Freiberg
Dr. R. Kleeberg
Mineralogisches Labor
Brennhausgasse 14
D-09596 Freiberg
Tel. ++49 (0) 3731-39-3244
Fax. ++49 (0) 3731-39-3129
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