Bad results from good data

@article{citeulike:1269427, abstract = {This review highlights some common errors of data evaluation that are frequently found in the literature. They include inappropriate choice of the model for fitting calibration curves, and usage of the correlation coefficient and linearization methods. We then question the notion about the advantage of non-selectivity of sensors in an array and highlight the danger of inadequate data-selection methods.}, author = {Badertscher, Martin and Pretsch, Erno }, booktitle = {Use and abuse of chemometrics}, citeulike-article-id = {1269427}, journal = {TrAC Trends in Analytical Chemistry}, keywords = {toread}, month = {December}, number = {11}, pages = {1131--1138}, posted-at = {2007-05-01 01:54:02}, priority = {2}, title = {Bad results from good data}, url = {http://www.sciencedirect.com/science/article/B6V5H-4MBCB8F-1/2/f8b845d197b7fcac44c9f629a2216af5}, volume = {25}, year = {2006} }

TY - JOUR ID - citeulike:1269427 L3 - citeulike-article-id:1269427 TI - Bad results from good data T2 - Use and abuse of chemometrics JF - TrAC Trends in Analytical Chemistry VL - 25 IS - 11 SP - 1131 EP - 1138 N2 - This review highlights some common errors of data evaluation that are frequently found in the literature. They include inappropriate choice of the model for fitting calibration curves, and usage of the correlation coefficient and linearization methods. We then question the notion about the advantage of non-selectivity of sensors in an array and highlight the danger of inadequate data-selection methods. KW - toread AU - Badertscher, Martin AU - Pretsch, Erno PY - 2006/12// UR - http://www.sciencedirect.com/science/article/B6V5H-4MBCB8F-1/2/f8b845d197b7fcac44c9f629a2216af5 ER -