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Comments on “parametric analysis of histograms measured in flow cytometry” by R.C. Mann et al

Comments on “parametric analysis of histograms measured in flow cytometry” by R.C. Mann et al beginning with an appropriate chosen vector y(O’. The authors stated correctly that the iteration 4 will converge if for any matrix norm 11 * 1) (compatible with the of September 17,1985 vector norm used in Rd) the Jacobian 9’ @ obeys In a paper by R.L. Mann et al. (6),the authors dealt with 11 @’(y*) 11 < x , h < 1 (5) a principal step in processing spectroscopic histograms. They considered the so-called mixture problem for the in a neighborhoodof an unknown fixed point y* of (3). univariate normal case using the statistical approach. It is highly desirable to know sets in the parameter Given a histogram space where inequality 5 is fulfilled. Thus the objective of the authors (6) is considered important, and the present author feels that some comments are needed. The where the XkcR are the variate values defining the his- “matrix norm” used for a d x d matrix A: =(aiJ togram classes and the h&+ the corresponding fre(6) (1 A 11: = max{laijl: i, j c ( 1 , . . . , d}} quencies, suppose that H stems from a sample that was drawn from a parent distribution with the mixture http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Cytometry Part A Wiley

Comments on “parametric analysis of histograms measured in flow cytometry” by R.C. Mann et al

Boese, F. G.
Cytometry Part A , Volume 7 (2) – Mar 1, 1986
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References (10)

Publisher
Wiley
Copyright
Copyright © 1986 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1552-4922
eISSN
1552-4930
DOI
10.1002/cyto.990070217
pmid
3948612
Publisher site
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Abstract

beginning with an appropriate chosen vector y(O’. The authors stated correctly that the iteration 4 will converge if for any matrix norm 11 * 1) (compatible with the of September 17,1985 vector norm used in Rd) the Jacobian 9’ @ obeys In a paper by R.L. Mann et al. (6),the authors dealt with 11 @’(y*) 11 < x , h < 1 (5) a principal step in processing spectroscopic histograms. They considered the so-called mixture problem for the in a neighborhoodof an unknown fixed point y* of (3). univariate normal case using the statistical approach. It is highly desirable to know sets in the parameter Given a histogram space where inequality 5 is fulfilled. Thus the objective of the authors (6) is considered important, and the present author feels that some comments are needed. The where the XkcR are the variate values defining the his- “matrix norm” used for a d x d matrix A: =(aiJ togram classes and the h&+ the corresponding fre(6) (1 A 11: = max{laijl: i, j c ( 1 , . . . , d}} quencies, suppose that H stems from a sample that was drawn from a parent distribution with the mixture

Journal

Cytometry Part A – Wiley

Published: Mar 1, 1986

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