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Laurent LEBLOND: Industrial Statistics Expert, PSA Peugeot Citroën Group Quality Department
INTRODUCTION
Like all industrial companies, measurement laboratories are subject to predictable and/or random phenomena. Statistics offers a number of ways of describing and exploiting these phenomena.
This sheet is a first step into the world of random phenomena, which form the basis for assessing measurement uncertainties and estimating the risks associated with a declaration of conformity. In this sense, it is essential to a good understanding of the following sheets in this series, as well as a large number of the "trade" sheets in this practical file. Whether in the field of measurement uncertainties, method validation, calibration intervals or measurement process monitoring, statistics is at the heart of metrologists' practices.
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Bibliography
Statistique théorique et appliquée , 2nd edition, Dagnelie P, De Bœck Université, 2007
Introductory Statistics with R , Dalgaardp, Springer, 2008
Statistics, theory and applications , Springer, 2004
Applied Statistices and Probability for Engineers , 4th edition, Montgomery D.C & Runger G.C, Whiley,...
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