Representation of results of particle size analysis Adjustment of an experimental curve to a reference model

Available format(s)

Hardcopy , PDF

Language(s)

English

Published date

31-07-2008

Publisher

British Standards Institution

Foreword
Introduction
1 Scope
2 Normative references
3 Symbols and abbreviated terms
4 Adjustment of an experimental curve to a reference model
  4.1 General
  4.2 Quasilinear regression method
  4.3 Non-linear regression method
5 Goodness of fit, standard deviation of residuals and
  exploratory data analysis
6 Conclusions
Annex A (informative) Influence of the model on the regression
                      goodness of fit
Annex B (informative) Influence of the type of distribution
                      quantity on the regression result
Annex C (informative) Examples for non-linear regression
Annex D (informative) X[2]-Test of number distributions of
                      known sample size
Annex E (informative) Weighted quasilinear regression
Bibliography

Describes methods for the adjustment of an experimental curve to a reference model with respect to a statistical background.

This part of ISO9276 specifies methods for the adjustment of an experimental curve to a reference model with respect to a statistical background. Furthermore, the evaluation of the residual deviations, after the adjustment, is also specified. The reference model can also serve as a target size distribution for maintaining product quality. This part of ISO9276 specifies procedures that are applicable to the following reference models: normal distribution (Laplace-Gauss): powders obtained by precipitation, condensation or natural products (pollens); log-normal distribution (Galton MacAlister): powders obtained by grinding or crushing; Gates-Gaudin-Schuhmann distribution (bilogarithmic): analysis of the extreme values of the fine particle distributions; Rosin-Rammler distribution: analysis of the extreme values of the coarse particle distributions; any other model or combination of models, if a non-linear fit method is used (see bimodal example in AnnexC). This part of ISO9276 can substantially support product quality assurance or process optimization related to particle size distribution analysis.

Committee	LBI/37
DevelopmentNote	Supersedes 07/30162238 DC. (08/2008) Reviewed and confirmed by BSI, June 2017. (05/2017)
DocumentType	Standard
Pages	34
PublisherName	British Standards Institution
Status	Current
Supersedes	07/30162238 DC : 0

Standards	Relationship
ISO 9276-3:2008	Identical

ISO 9276-1:1998	Representation of results of particle size analysis — Part 1: Graphical representation
ISO 9276-5:2005	Representation of results of particle size analysis Part 5: Methods of calculation relating to particle size analyses using logarithmic normal probability distribution
ISO/TR 13425:2006	Guidelines for the selection of statistical methods in standardization and specification
ISO 9276-2:2014	Representation of results of particle size analysis Part 2: Calculation of average particle sizes/diameters and moments from particle size distributions

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BS ISO 9276-3:2008

Current

Table of Contents

Abstract

Scope

General Product Information

International Equivalents

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