The pH measurement in chemical analysis is an important index in
numerous applications, e.g. chemical engineering, environmental
science, materials science, biochemistry, pharmaceutical industry.
Routine pH measurements are carried out with pH meter-glass
electrode assemblies. The use of these electrodes is subject to
various effects, producing uncertainties of unknown magnitude.
Therefore, the measurement of pH requires a suitable calibration by
certified standard buffer solutions traceable to primary pH
standards. This monograph addresses the optimal experimental
procedure for the calibration problem to common pH meters, under D-
and c-optimality criteria. By considering the simple regression
model, the main target is to estimate as a nonlinear function the
calibrating value. Two optimal design procedures are adopted to
tackle the problem: D- and c-optimality. Therefore various data
sets are examined, under the D- and c-optimal approach, to obtain
the appropriate model for calibrating pH meters.
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