Литература2

1.
International Standard, ISO 3534-1, Statistics-Vocabulary and symbols, (1993)
2.
IUPAC, Compendium of Chemical Terminology, 2nd Edition (1997)
3.
E. Lifshin, N. Doganaksoy, J. Sirois, R. Gauvin, Microsc. Microanal. 4, 598-604, 1999
4.
John V. Gilfrich* and L. S. Birks «Estimation of Detection Limits in X-ray Fluorescence
Spectrometry», Anal. Chem. 1984, 56, 77-79
5.
Gary L. Long, J. D. Winefordner «Limit of Detection, A Closer Look at the IUPAC Definition»,
ANALYTICAL CHEMISTRY, VOL. 55, NO. 7, JUNE 1983
6.
«Uncertainties in electron probe microanalysis» R B Marinenko and S Leigh, 11th European
Workshop on Modern Developments and Applications in Microbeam Analysis IOP Publishing, IOP
Conf. Series: Materials Science and Engineering 7 (2010) 012017 doi:10.1088/1757-
899X/7/1/012017
7.
Wikipedia, http://en.wikipedia.org/wiki/Limit_of_detection
8.
Steinbrecher, Stefan. A unified Monte Carlo approach for quantitative standardless x-ray
fluorescence and electron probe microanalysis inside the scanning electron microscope.
Dissertation, 2004,
http://nbn-resolving.de/urn/resolver.pl?urn=urn:nbn:de:bsz:21-opus-13007
9. Limit of detection
http://www.chemometry.com/Research/LOD.html
10. Zebold T.O., «Precision and sensitivity in electron microprobe analysis» Anal. Chem. 1967, v.39,
Nr. 8, p.86
11.
Ziebold T.O., Ogilvie R.E., Anal. Chem. 1964, v.36, p.322-327
12.
E. Shekhter, Industrial Laboratory, 1986, v. 52, Nr. 5, p.p. 445-449
13.
E. Shekhter, G. Edelstein, Industrial Laboratory, 1991, v. 57, Nr. 5, p.p. 536-545
14.
H. R. Van Trees, Detection, Estimation, and Modulation Theory, part 1, J.W., N.Y., (1968) 
D.C. Montgomery, E.A. Peck, G.G. Vining, Introduction to Linear Regression Analysis, 3 ed.,
J.W.&S., N.Y., 2001
19.
G. A. F. Seber, A.J. Lee, Linear Regression Analysis, 2. ed., J.W. & S. (2003)1
20.
A. Albert, Regression and the Moore-Penrose Pseudoinverse, A.P., N.Y.(1972) 12.
21.
13. C.R. Rao, Linear Statistical Inference and Its Application, 2nd ed., J.W., N.Y., (1973)
22.
 Juan M. Rodriguwz-Poo, Computer-aided Introduction to Econometrics, edited by Springer
(2002), 350 p., SBN:354044114X
23.
15. D. Kahaner, C.B. Moller, S. Nash, Numerical methods and software, Prentice-Hall, (1989)
24.
16. G. A. F. Seber, C.J. Wild, Nonlinear Regression, J.W., N.Y., (1989)
25.
E. Shekhter, Industrial Laboratory, 1986, v. 52, Nr. 5, p.p. 445-449
26.
E. Shekhter, G. Edelstein, Industrial Laboratory, 1991, v. 57, Nr. 5, p.p. 536-545