Βιβλιογραφία

1. John R. Taylor, An Introduction to Error Analysis. The study of uncertainties in physical measurements, 2^nd Ed., University Science Books, 1997
   ISBN: 978-0-935702-75-0
2. Philip R. Bevington, D. Keith Robinson, Data Reduction and Error Analysis for the Physical Sciences, 3^rd Ed., McGraw-Hill, 2003
   ISBN: 978-0-07-247227-1
3. Byron P. Roe, Probability and Statistics in Experimental Physics, Springer, New York, 2001
   ISBN: 978-1-4419-2895-5
4. F.M. Dekking, C. Kraaikamp, H.P. Lopuhaä, L.E. Meester, A Modern Introduction to Probability and Statistics. Understanding Why and How, Springer, London, 2005
   ISBN: 978-1-85233-896-1
5. Ifan Hughes, Thomas Hase, Measurements and their Uncertainties. A practical guide to modern error analysis, Oxford University Press, 2010
   ISBN: 9780199566334
6. Siegmund Brandt, Data Analysis. Statistical and Computational Methods for Scientists and Engineers, 4th Ed., Springer, 2014
   ISBN: 978-3-319-03762-2
7. Christian Heumann, Michael Schomaker, Shalab, Introduction to Statistics and Data Analysis With Exercises, Solutions and Applications in R, Springer, 2016
   ISBN: 978-3-319-46162-5
8. Massimiliano Bonamente, Statistics and Analysis of Scientic Data, 2nd Ed., Springer, 2017
   ISBN: 978-1-4939-6572-4
9. Carl W. Garland, Joseph W. Nibler, David P. Shoemaker, Experiments in Physical Chemistry, 8^th Ed., McGraw-Hill, 2009
   ISBN: 978-0-07-282842-9
10. David R. Lide, CRC Handbook of Chemistry and Physics, 84th Ed., 2003-2004
11. Perry's Chemical Engineer's Handbook, 8th Edition, McGraw-Hill, 2008
12. Dortmund Databank
13. R. Stenutz data

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Ενημέρωση: 30/5/2020