Biometric discipline

The aim of applying mathematical and statistical methods is first of all to detect and secondly to describe the interrelations between influencing forces on the one hand, and the interrelations between these influences and the resulting effects on the other hand. Subsequently, new scientific subdisciplines such as biometrics, psychometrics, medical statistics, econometrics, etc. have been developed. These developments have been reflected by the publication of corresponding journals, for example Biometrika (1901), Psycho-metrika (1936), Technometrics (1959) [GELADI, 1995]. Chemometrics was, therefore, not the first discipline of its kind. 

Chemometrics is the discipline concerned with the application of statistical and mathematical methods to chemical data [2.18], Multiple linear regression, partial least squares regression and the analysis of the main components are the methods that can be used to design or select optimal measurement procedures and experiments, or to provide maximum relevant chemical information from chemical data analysis. Common areas addressed by chemometrics include multivariate calibration, visualisation of data and pattern recognition. Biometrics is concerned with the application of statistical and mathematical methods to biological or biochemical data. 

Despite the advent of disciplines such as biometrics, chemometrics is not dying out on the contrary, it achieved maturity around the millennium. 

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