|
|
|
|
| LEADER |
02480nmm a2200373 u 4500 |
| 001 |
EB000385586 |
| 003 |
EBX01000000000000000238638 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
130626 ||| eng |
| 020 |
|
|
|a 9783642165955
|
| 100 |
1 |
|
|a Reichenbächer, Manfred
|
| 245 |
0 |
0 |
|a Challenges in Analytical Quality Assurance
|h Elektronische Ressource
|c by Manfred Reichenbächer, Jürgen W. Einax
|
| 250 |
|
|
|a 1st ed. 2011
|
| 260 |
|
|
|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2011, 2011
|
| 300 |
|
|
|a XIX, 356 p
|b online resource
|
| 505 |
0 |
|
|a Kinds of errors at instrumental analysis.- Statistical tests -- General aspects of linear regression -- Validation of method performance -- Aspects of method development -- Performance verification of analytical instrumentals and tools - Selected examples -- Control charts in the analytical laboratory -- Interlaboratory studies -- Measurement uncertainty -- Statistic tables
|
| 653 |
|
|
|a Pharmaceutical chemistry
|
| 653 |
|
|
|a Environmental monitoring
|
| 653 |
|
|
|a Statistics
|
| 653 |
|
|
|a Food Science
|
| 653 |
|
|
|a Analytical chemistry
|
| 653 |
|
|
|a Analytical Chemistry
|
| 653 |
|
|
|a Pharmaceutics
|
| 653 |
|
|
|a Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
|
| 653 |
|
|
|a Food science
|
| 653 |
|
|
|a Environmental Monitoring
|
| 700 |
1 |
|
|a Einax, Jürgen W.
|e [author]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 028 |
5 |
0 |
|a 10.1007/978-3-642-16595-5
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-642-16595-5?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 543
|
| 520 |
|
|
|a Working in the lab, but unsure what your results actually mean? Would you like to know how to apply trueness tests, calculate standard deviations, estimate measurement uncertainties or test for linearity? This book offers you a problem-based approach to analytical quality assurance (AQA). After a short introduction into required fundamentals, various topics such as statistical tests, linear regression and calibration, tool qualification or method validation are presented in the form of exercises for self-study. Solutions are provided in a clear step-by-step manner. Interactive Excel-sheets are available as Extra Materials for trying out the various concepts. For professionals as well as graduate students confronted with analytical quality assurance for the first time, this book will be the clue to meeting such challenges
|