Chemometrics and Intellegent Laboratory Systems Vol. 35, NO. 1

CONTENTS

Editiorial
 
Discussion paper
V
Quantifying and using expert opinion for variable-selection problems in regression
P.H.Garthwaite (Aberdeen, UK) and J.M.Dickey (Minneapolis, MN, USA)
1
Discussion on "Quantifying and using expert opinion for variable-selection problems in regression"
J.Ibraham (Boston, MA, USA) .
27
Discussion on "Quantifying and using expert opinion for variable-selection problems in regression"
E.I.George (Austin, TX, USA) .
29
Discussion on "Quantifying and using expert opinion for variable-selection problems in regression"
S.M.Berry (College Station, TX, USA).
33
Comments on "Quantifying and using expert opinion for variable-selection problems in regression"
J.P.Hobert (Gainesville, FL, USA) and G.Casella (Ithaca, NY, USA) .
37
Quantifying and using expert opinion for variable-selection problems in regression: Authors' response to discussants
P.H.Garthwaite (Aberdeen, UK) and J.M.Dickey (Minneapolis, MN, USA)
41
Full lenghth papers
 
Missing data methods in PCA and PLS: Score calculations with incomplete observations
P.R.C.Nelson, P.A.Tailor and J.F.MacGregor (Hamilton, ON, Canada)
45
Criteria for optimizing the separation of target analytes in complex chromatograms
P.F.Vanbel, B.L.Tilquin (Brussels, Belgium) and P.J.Schoenmakers (Amstrdam, Netherlands).
67
Generic algorithms for the optimization of piecewise linear discriminants
R.E.Shaffer and G.M.Small (Athens, OH, USA).
87
Generic algorithms as a tool for selection of D-optimal design
A.Broudiscou (Marcy-l-Etoile,France), R.Leardi (Genova, Italy) and R.Phan-Tan-Luu (Marseille, France)
105
Characterization and identification of edible oil blends and prediction of composition by ANN - A case study
S.Husain, K.Sita Devi, D.Krishna and P.J.Reddy (Hyderabad, India)
117
Artifical neural networks in classification of NIR spectral data: Selection of the input
W.Wu and D.L.Massart (Brussel, Belgium)
127
Book review.
137
Monitor
139

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Last modification: 06.04.03