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RESEARCH PRODUCT
Information content of data and variables and types of weighting in least-squares regression methods
C.mongay FernándezJ. J. Baeza BaezaG.ramis Ramossubject
Accuracy and precisionChemistryRegression analysisStatistical weightBiochemistryRegressionAnalytical ChemistryWeightingSet (abstract data type)Content (measure theory)StatisticsEnvironmental ChemistryNonlinear regressionSpectroscopydescription
Abstract Algorithms are given for evaluating the relative amount of useful information related to a particular parameter which is carried by individual data points and intervals of the variables. The algorithms provide an efficient means of using the information contained in a set of data. Applications to the optimization of weighting in regression methods are described. Several informational and combined informational-statistical types of weighting are studied as a means of improving the accuracy and precision of the parameters obtained by non-linear regression.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1990-01-01 | Analytica Chimica Acta |