Last Update November
2011
Publications are given in chronological order and
they have been numbered . If you want a copy of any of
these (except the books), just send me (h.a.l.kiers@rug.nl)
an email specifying the numbers of the publications you would like to have.
In chronological order
1: Kiers, H.A.L. & Ten
Berge, J.M.F. (1987) [Review of H.G. Law, C.W. Snyder, J.A. Hattie, and R.P.
McDonald (Eds.), Research methods for multimode data analysis]. Psychometrika, 52, 479-481.
2: Ten Berge, J.M.F., Knol, D.L. & Kiers, H.A.L. (1988) A
treatment of the Orthomax rotation family in terms of
diagonalization, and a re-examination of a singular
value approach to Varimax rotation. Computational Statistics Quarterly, 4,
207-217.
3: Ten Berge, J.M.F., Kiers,
H.A.L. and De Leeuw, J. (1988) Explicit Candecomp/Parafac solutions for a
contrived 2x2x2 array of rank three. Psychometrika, 53,
579-583.
4: Kiers, H.A.L. (1988)
Principal Components Analysis on a mixture of quantitative and qualitative data
based on generalized correlation coefficients. In:
M.G.H. Jansen and W.H. van Schuur (Eds.) The many faces of multivariate analysis (Vol.I), Proceedings of the SMABS-88 Conference in
5: Ten Berge, J.M.F &
Kiers, H.A.L. (1988) Proper communality estimates minimizing the sum of the
smallest eigenvalues for a covariance matrix. In:
M.G.H. Jansen and W.H. van Schuur (Eds.) The many faces of multivariate analysis (vol.I), Proceedings of the SMABS-88 Conference in
6: Kiers, H.A.L. (1989)
INDSCAL for the analysis of categorical data. In: R. Coppi
and S. Bolasco (Eds.), Analysis of multiway data matrices (pp.
155-167).
7: Ten Berge, J.M.F. &
Kiers, H.A.L. (1989) Convergence properties of an iterative procedure of ipsatizing and standardizing a data matrix, with
applications to Parafac/Candecomp
preprocessing. Psychometrika, 54, 231-235.
8: Ten Berge, J.M.F. & Kiers, H.A.L. (1989) Fitting the off-diagonal DEDICOM model in the least-squares sense by a generalization of the Harman & Jones MINRES procedure of factor analysis. Psychometrika, 54, 333-337.
9: Kiers, H.A.L. (1988)
Comparison of 'anglo-saxon' and 'french'
three-mode methods. Statistique et Analyse des Données, 13 (3),
14-32.
10: Kiers, H.A.L. (1989) A
computational short-cut for INDSCAL with orthonormality
constraints on positive semi-definite matrices of low rank. Computational Statistics Quarterly, 5,
119-135.
11: Kroonenberg,
P.M., Ten Berge, J.M.F., Brouwer, P., & Kiers,
H.A.L. (1989) Gram-Schmidt versus Bauer-Rutishauser
in alternating least-squares algorithms for three-mode component analysis. Computational Statistics Quarterly, 5,
81-87.
12: Kiers, H.A.L. (1989) An
alternating least squares algorithm for fitting the two- and three-way DEDICOM
model and the IDIOSCAL model. Psychometrika, 54,
515-521.
13:
Kiers, H.A.L. & Ten Berge, J.M.F. (1989) Alternating least squares
algorithms for Simultaneous Components Analysis with equal component weight
matrices for all populations. Psychometrika,
54, 467-473.
14: Kiers, H.A.L. (1990) PROCRUSTES-PC v2.0: Een programma voor
gegeneraliseerde Procrustes-analyse. Kwantitatieve methoden, 33, 177-188.
15: Kiers, H.A.L. & Ten
Berge, J.M.F. (1989) Optimality conditions for the trace of certain matrix
products. Linear Algebra and its
Applications, 126, 125-134.
16: Ten Berge, J.M.F., &
Kiers, H.A.L. (1990) Simultane componenten-analyse
voor twee of meer
groepen personen. Nederlands tijdschrift
voor de Psychologie, 45,
221-226.
17: Kiers, H.A.L. & Ten
Berge, J.M.F. (1990) An orthogonal Procrustes
rotation procedure for multiple correspondence analysis. COMPSTAT 1990 (pp.
163-168). Heidelberg: Physica-Verlag.
18: Kiers, H.A.L. (1990)
[Boekbespreking van J.P. van de Geer, Analyse van kategorische
gegevens] Mens en Maatschappij, 65,
201-202.
19: Kiers, H.A.L., Ten Berge, J.M.F., Takane, Y.
& De Leeuw, J. (1990) A generalization of Takane's algorithm for DEDICOM. Psychometrika, 55,
151-158.
20: Kiers, H.A.L. (1990) Majorization as a tool for optimizing a class of matrix
functions. Psychometrika, 55, 417-428.
21: Van Lange, P.A.M., Liebrand, W.B.G., Kiers, H.A.L., & Zwaal, W.
(1989) Redenen voor en attributies van keuzegedrag in een N-personen prisoner's dilemma. Nederlands tijdschrift voor de Psychologie, 44, 225-234.
22: Kiers, H.A.L., & Krijnen, W.P. (1991) An efficient algorithm for PARAFAC of
three-way data with large numbers of observation units. Psychometrika, 56, 147-152.
23: Kiers, H.A.L. (1991)
Simple structure in component analysis techniques for mixtures of qualitative
and quantitative variables. Psychometrika, 56,
197-212.
24: Ten Berge, J.M.F. &
Kiers, H.A.L. (1991) Some clarifications of the
CANDECOMP algorithm applied to INDSCAL. Psychometrika, 56,
317-326.
25: Ten Berge, J.M.F. &
Kiers, H.A.L. (1991) A numerical approach to the approximate and the exact
minimum rank of a covariance matrix. Psychometrika, 56,
309-315.
26: Kiers, H.A.L. (1991)
Hierarchical relations among three-way methods. Psychometrika, 56, 449-470.
27: Zuckerman, M., Kuhlman,
D.M., Thornquist, M., & Kiers, H.A.L. (1991) Five
(or three) robust questionnaire scale factors of personality without culture. Personality and Individual Differences, 12,
929-941.
28: D'Ambra,
L., & Kiers, H.A.L. (1991) Analysis of log-trilinear
models for a three-way contingency table using PARAFAC/CANDECOMP. In: Societa Italiana di Statistica, Atti delle giornate di studio di
29: Van Dam-Baggen, R., Kraaimaat, F., & Kiers, H.A.L. (1991) De
inventarisatielijst Omgaan met Anderen (IOA): een vervolgonderzoek naar de
validiteit van de subschalen. Gedragstherapie,
24 (2), 89-98.
30: Van Dam-Baggen, C.M.J., Kraaimaat, F.W., & Kiers, H.A.L. (1992) Een
exploratief onderzoek naar de struktuur van sociale
angst bij sociaal angstige psychiatrische patiënten en niet-sociaal angstige
normale personen. Nederlands Tijdschrift
voor de Psychologie, 47, 41-45.
31: De Jong, S., & Kiers, H.A.L. (1992). Principal covariates
regression.
Part I: Theory. Chemometrics and Intelligent Laboratory Systems, 14,
155-164.
32: Lazraq,
A., Kiers, H.A.L., Cléroux, R. (1992) Mesures de liaison vectorielle et généralisation de l'analyse canonique. Revue de Statistique
Appliquée, 39, 23-35.
33:
Kiers, H.A.L. (1992) [Review of J.J.F. Commandeur:
Matching Configurations.
34: Kiers, H.A.L., & Ten
Berge, J.M.F. (1992) Minimization of a class of matrix trace functions by means
of refined majorization. Psychometrika, 57, 371-382.
35: Kiers, H.A.L., Kroonenberg, P.M., & Ten Berge, J.M.F. (1992) An
efficient algorithm for TUCKALS3 with large numbers of observation units. Psychometrika, 57, 415-422.
36: Ten Berge, J.M.F. &
Kiers, H.A.L. (1993) Exact and approximate solutions for the minimum rank of a
covariance matrix. In R. Steyer,
K.F. Wender, & K.F. Widaman
(Eds.), Psychometric methodology. Proceedings of the 7th
European meeting of the Psychometric Society in
37: Kiers, H.A.L. (1993) An
alternating least squares algorithm for PARAFAC2 and DEDICOM3. Computational Statistics and Data Analysis,
16, 103-118.
38: Kiers, H.A.L. (1992)
TUCKALS core rotations and constrained TUCKALS modelling.
Statistica Applicata, 4,
659-667.
39: Ten Berge, J.M.F., Kiers, H.A.L., & Van der Stel, V. (1992) Simultaneous Components Analysis. Statistica Applicata, 4, 377-392.
40: Kiers, H.A.L. (1993)
Handling ordinal variables in three-way analysis of quantification matrices for
variables of mixed measurement levels. British
Journal of Mathematical and Statistical Psychology, 46, 135-152.
41: Ten Berge, J.M.F., Kiers, H.A.L., & Krijnen, W.P. (1993) Computational solutions for the problem of negative saliences and nonsymmetry in INDSCAL. Journal of Classification, 10, 115-124.
42: Ten Berge, J.M.F.,
Kiers, H.A.L., & Commandeur, J.J.F. (1993)
Orthogonal Procrustes rotation for matrices with
missing values. British Journal of
Mathematical and Statistical Psychology, 46, 119-134.
43: Kiers, H.A.L., & Takane, Y. (1993) Constrained DEDICOM. Psychometrika, 58, 339-355.
44: Ten Berge, J.M.F., &
Kiers, H.A.L. (1993) An alternating least squares method for the weighted
approximation of a symmetric matrix. Psychometrika, 58,
115-118.
45: Kiers, H.A.L. (1993) A
comparison of techniques for finding components with simple structure. In C.M. Cuadras & C.R. Rao (Eds.) Multivariate Analysis: Future Directions 2.
46: Krijnen,
W.P. & Kiers, H.A.L. (1993) Clustered variables in PARAFAC. In: J.H.L. Oud & R.A.W. van Blokland-Vogelesang
(Eds.) Advances in longitudinal and
multivariate analysis in the behavioral sciences: Proceedings of the SMABS 1992
conference (pp.165-177).
47: Kiers, H.A.L. (1993) The exploratory analysis of qualitative variables by means of three-way analysis of two types of quantification matrices. Applied Stochastic Models and Data Analysis, 9, 301-317.
48: Kiers, H.A.L., Takane, Y., Mooijaart, A. (1993)
A monotonically convergent algorithm for FACTALS. Psychometrika, 58, 567-574.
49: Kiers, H.A.L., & Marchetti, G.M. (1994) Handling large numbers of
observation units in three-way methods for the analysis of qualitative and
quantitative two-way data. Computational
Statistics, 9, 41-64.
50: Kiers, H.A.L., & Ten
Berge, J.M.F. (1994) The Harris-Kaiser independent cluster rotation as a method
for rotation to simple component weights. Psychometrika, 59, 81-90.
51: Kiers, H.A.L., & Takane, Y. (1994) A generalization of Gipscal for the analysis of nonsymmetric data. Journal of Classification, 11, 79-99.
52: Kiers, H.A.L., & Ten
Berge, J.M.F. (1994) Hierarchical relations between methods for simultaneous
component analysis and a technique for rotation to a simple simultaneous
structure. British Journal of
Mathematical and Statistical Psychology, 47, 109-126.
53: Ten Berge, J.M.F., Bekker, P.A., & Kiers, H.A.L. (1994) Some
clarifications of the TUCKALS2 algorithm applied to the IDIOSCAL problem. Psychometrika, 59, 193-201.
54: Kiers, H.A.L., Cléroux, R., & Ten Berge, J.M.F. (1994) Generalized canonical analysis based on optimizing matrix correlations and a relation with IDIOSCAL. Computational Statistics and Data Analysis, 18, 331-340.
55: Kiers, H.A.L. (1994)
SIMPLIMAX: Oblique rotation to an optimal target with simple structure. Psychometrika, 59, 567-579.
56: Van Schuur,
W.H., & Kiers, H.A.L. (1994) Why factor analysis often is the incorrect
model for analyzing bipolar concepts, and what model to use instead. Applied Psychological
Measurement, 18,
97-110.
57: Van der Molen, H.T., Korbee, Ch., & Kiers, H.A.L. (1995). Selectie en
management-ontwikkeling van schoolleiders: Het assessment center
onderwijsmanagement. In: F.J.R.C. Dochy & T.R. de
Rijke (Eds.) Assessment
Centers: Nieuwe toepassingen in opleiding, onderwijs en HRM (pp. 239-254).
58: Kiers, H.A.L. (1995)
Maximization of sums of quotients of quadratic forms and some generalizations. Psychometrika, 60, 221-245.
59: Takane,
Y., Kiers, H.A.L., & De Leeuw, J. (1995)
Component analysis with different sets of constraints on different dimensions. Psychometrika, 60, 259-280.
60: Kiers, H.A.L., & Smilde, A.K. (1995) Some theoretical
results on second order calibration methods for data with and without rank
overlap. Journal of Chemometrics,
9, 179-195.
61: Krijnen, W.P. & Kiers, H.A.L. (1995) An efficient algorithm for weighted PCA. Computational Statistics, 10, 299-306.
62: Rikken,
F., Kiers, H.A.L., & Vos, R. (1995) Mapping the
dynamics of adverse drug reactions in subsequent time periods using Indscal. Scientometrics, 33,
367-380.
63: Ten Berge, J.M.F. &
Kiers, H.A.L. (1996) Some uniqueness results for
PARAFAC2. Psychometrika, 61, 123-132.
64: Kiers, H.A.L. (1996) Review of J.P. van de Geer. Multivariate analysis of
categorical data: Vol. I. Theory; Vol. II: Applications.
65: Kiers, H.A.L., & Groenen, P. (1996) A monotonically convergent algorithm for
orthogonal congruence rotation. Psychometrika, 61,
375-389.
66: Ten Berge, J.M.F. & Kiers, H.A.L. (1996) Optimality criteria for principal component analysis and generalizations. British Journal of Mathematical and Statistical Psychology, 49, 335-345.
67: Kiers, H.A.L., Takane, Y., & Ten Berge, J.M.F. (1996) The analysis of Multitrait-Multimethod matrices via constrained components
analysis. Psychometrika, 61, 601-628.
68: Kiers, H.A.L., & Harshman, R.A. (1997) Relating two proposed methods for speedup of algorithms for fitting two- and three-way principal component and related multilinear models. Chemometrics and Intelligent Laboratory Systems, 36, 31-40.
69: Hofstee,
W.K.B., Kiers, H.A.L., De Raad, B., Goldberg, L.R.,
& Ostendorf, F. (1997) A comparison of Big-Five
structures of personality traits in Dutch, English and German. European Journal of Personality, 11, 15-31.
70: Hofstee, W.K.B., & Kiers, H.A.L. (1997) Een algemeen model voor loting en selectie bij numerus clausus. Tijdschrift voor Onderwijs Research, 22, 1, 81-85.
71: Kiers, H.A.L. (1997) Weighted least squares fitting using iterative ordinary
least squares algorithms. Psychometrika, 62,
251-266.
72: Kiers, H.A.L., Ten
Berge, J.M.F., & Rocci, R. (1997) Uniqueness of
three-mode factor models with sparse cores: The 3x3x3 case. Psychometrika, 62, 349-374.
73: Takane,
Y., & Kiers, H.A.L. (1997) Latent Class DEDICOM. Journal of Classification, 14, 225-247.
74: Kiers, H.A.L. (1997)
Discrimination by means of components that are
orthogonal in the data space. Journal of Chemometrics, 11, 533-545.
75: Ten Berge, J.M.F.,
Kiers, H.A.L. (1997) Are all varieties of PCA the same? A
reply to Cadima & Jolliffe.
British Journal of Mathematical and
Statistical Psychology, 50, 367-368.
76: Kiers, H.A.L. (1997) A
modification of the SINDCLUS algorithm for fitting the ADCLUS and INDCLUS
models. Journal of Classification, 14,
297-310.
77: Bro, R., & Kiers.
H.A.L. (1997) Meeting Report: TRICAP: Three-way methods in Chemistry and
Psychology, Lake Chelan WA, USA, 4-9 May, 1997. Journal of Chemometrics, 11, 463-466.
78: Kiers, H.A.L. (1997) Techniques for rotating two or more loading matrices to optimal agreement and simple structure: A comparison and some technical details. Psychometrika, 62, 545-568.
79: Kiers, H.A.L. (1997)
Three-mode Orthomax rotation. Psychometrika, 62, 579-598.
80: Kiers, H.A.L. (1997)
DESICOM: Decomposition of asymmetric relationships data into simple components.
Behaviormetrika, 24, 203-217.
81:
Kiers, H.A.L. (1998) Recent developments in three-mode factor analysis:
Constrained three-mode factor analysis and core rotations. C. Hayashi et al.
(Eds.) Data Science, Classification and
Related Methods (pp. 563-574). Tokyo:
Springer-Verlag.
82: Kiers, H.A.L., & Hofstee, W.K.B. (1997) Gewogen loting in combinatie met rechtstreekse toelating vanaf examencijfer 8. Tijdschrift voor Onderwijs Research, 22, 298-301.
83: Kiers, H.A.L., & Smilde, A.K. (1998) Constrained three-mode factor analysis as a tool for parameter estimation with second-order instrumental data. Journal of Chemometrics, 12, 125-147.
84: Kiers, H.A.L. (1998) A three-step algorithm for Candecomp/Parafac analysis of large data sets with multicollinearity, Journal
of Chemometrics, 12, 155-171.
85:
Kiers, H.A.L. (1998) An overview of three-way analysis and some recent
developments. In: A. Rizzi, M. Vichi,and H.-H. Bock (Eds.) Advances in data science and classification (pp. 593-602).
86:
87: Kiers, H.A.L. (1998) Three-way
SIMPLIMAX for oblique rotation of the three-mode factor analysis core to simple
structure, Computational Statistics and
Data Analysis, 28, 307-324.
88: Kiers, H.A.L. (1998)
Joint orthomax rotation of the core and component
matrices resulting from three-mode principal components analysis. Journal of Classification, 15, 245-263.
89: Kiers, H.A.L. (1998)
Review of W.J. Krzanowski and F.H.C. Marriot.
Multivariate Analysis Part 2: Classification, Covariance structure and repeated
measurements.
90: Murakami, T., Ten Berge,
J.M.F., & Kiers, H.A.L. (1998) A case of extreme simplicity of the core
matrix in three-mode principal components analysis. Psychometrika, 63, 255-261.
91: Smilde, A.K. & Kiers, H.A.L. (1999) Multiway covariates regression models. Journal of Chemometrics, 13, 31-48.
92: Kiers, H.A.L. (1999)
Review of
93: Kiers, H.A.L., Ten Berge, J.M.F., & Bro, R. (1999) PARAFAC2 – Part I. A direct fitting algorithm for the PARAFAC2 model. Journal of Chemometrics, 13, 275-294.
94: Ten Berge, J.M.F., &
Kiers, H.A.L. (1999). Simplicity of core arrays in three-way
principal components analysis and the typical rank of PxQx2 arrays. Linear Algebra and Its Applications,
294, 169-179.
95: Bro, R., Andersson, C., & Kiers, H.A.L. (1999) PARAFAC2 – Part II. Modeling chromatographic data with retention time shifts. Journal of Chemometrics, 13, 295-309.
96: Ten Berge, J.M.F., &
Kiers, H.A.L. (1999) Retrieving the correlation matrix from a truncated PCA
solution: The inverse principal component problem, Psychometrika, 64, 317-324.
97: van Mechelen,
98: Louwerse,
D.J., Smilde, A.K. & Kiers, H.A.L. (1999)
Cross-validation of multiway component models13, 491-510.
99:
100: Kiers, H.A.L. (2000).
Towards a Standardized Notation and Terminology in Multiway
Analysis, Journal of Chemometrics,
14, 105-122.
101: Kiers, H.A.L. (2000) Some
procedures for displaying results from three-way methods. Journal of Chemometrics, 14, 151-170.
102: Ten Berge, J.M.F.,
Kiers, H.A.L., Murakami, T., & van der Heijden,
R.M.J. (2000) Transforming three-way arrays to multiple orthonormality.
Journal of Chemometrics,
14, 275-284.
103: Kiers, H.A.L., & Krzanowski, W. (2000) Projections distinguishing isolated
groups in multivariate data spaces. In: W. Gaul, O. Opitz,
& M. Schader (eds.) Data analysis: Scientific modeling and practical application (pp.
207-218),
104: Kiers, H.A.L. (2001) Leven in onzekerheid en eenvoud. De Psycholoog, 36, 226-233.
105: Kiers, H.A.L. (2001) Leven in
onzekerheid en eenvoud. Oratie, uitgegeven in
eigen beheer.
106: Kiers, H.A.L. (2000)
Discussion of Lange, Hunter & Yang, Optimization transfer algorithms in
statistics. Journal of Computational and
Graphical Statistics, 9,1,21-25.
107: Kiers, H.A.L., &
van Mechelen,
108: Smilde,
A.K., Hoefsloot, H.C.J., Kiers, H.A.L., Bijlsma, S., & Boelens,
H.F.M. (2001) Sufficient conditions for unique solutions within a certain class
of curve resolution models. Journal of Chemometrics, 15, 405-411.
109: Vichi,
M., & Kiers, H.A.L. (2001) Factorial k-means
analysis for two-way data. Computational Statistics and Data Analysis, 37, 49-64.
110: Smilde, A.K., Kiers, H.A.L. (2001) Meerweganalyse
als cement tussen de psychologie en de chemie. STATOR, augustus 2001/2, 5-9.
111: Spikman,
J., Deelman, B, & Kiers, H.A.L. (2001) Construct
validity of concepts of attention in healthy controls and patients with CHI. Brain and Cognition, 47, 446-460.
112: Kiers, H.A.L. (2002)
Categorization is not the only way. A comment on Rodrigo,
M.F., & Ato, M. European Journal of Social Psychology, 32, 19-26.
113:
114:
Lorenzo-Seva, U., Kiers, H.A.L. & Ten Berge,
J.M.F. (2002) Techniques for oblique factor rotation of two or more loading
matrices to a mixture of simple structure and optimal agreement. British Journal of Mathematical and Statistical Psychology, 55, 337-360.
115: Zijlstra,
B.J.H. & Kiers, H.A.L. (2002) Degenerate solutions obtained from several
variants of factor analysis. Journal of Chemometrics, 16, 596-605.
116: Kiers, H.A.L. (2002) Setting up alternating least squares and iterative majorization algorithms for solving various matrix optimization problems, Computational Statistics and Data Analysis, 41, 157-170.
117:
Kiers, H.A.L. (2003) Uniqueness properties of three-way component models with
offset terms. In: H. Yanai, A.Okada,
K. Shigemasu, Y. Kano & J.J. Meulman
(Eds.) New developments in Psychometrics:
Proceedings of the international meeting of the Psychometric Society IMPS2001,
pp. 354-362.
118:
van der Velden, M., & Kiers, H.A.L. (2003) An application of rotation in correspondence analysis. In:
H. Yanai, A.Okada, K. Shigemasu, Y. Kano & J.J. Meulman
(Eds.) New developments in Psychometrics:
Proceedings of the international meeting of the Psychometric Society IMPS2001,
pp. 471-478.
119: Kiers, H.A.L. & der Kinderen, A. (2003) A fast method for choosing the numbers of components in Tucker3 analysis. British Journal of Mathematical and Statistical Psychology, 56, 119-125.
120:
Kiers, H.A.L. (2003) Some alternatives to PLS. In: Società
Italiana di Statistica, Analisi Statistica Multivariata per le Scienze Economico-Sociali, le Scienze Naturali e la Tecnologia,
pp.171-182.
121:
Bro, R. Kiers, H.A.L. (2003) A new efficient method for determining the number
of components in PARAFAC models, Journal
of Chemometrics, 17, 274-286.
122:
123: Giordani , P. & Kiers, H.A.L. (2004) Principal Component Analysis
of symmetric fuzzy data. Computational Statistics and Data Analysis, 45, 519-548.
124: Van Beilen, M.,
Kiers, H.A.L., Bouma, A., van Zomeren, E.H., Withaar, F.K., Arends, J., & van den Bosch, R.J. (2003). Cognitive deficits and social functioning in schizophrenia: A clinical
perspective. The Clinical
Neuropsychologist, 17, 507-514.
125: Kiers, H.A.L. (2004) Bootstrap confidence
intervals for three-way methods. Journal
of Chemometrics, 18, 22-36.
126:
Kiers, H.A.L. (2004) Clustering all three modes of three-mode data:
Computational possibilities and problems. In: Antoch,
J. (Ed.) COMPSTAT, Proceedings in
Computational Statistics.
127: Giordani, P. and Kiers, H.A.L. (2004) Three-way component
analysis of interval valued data. Journal of Chemometrics, 18, 253-264.
128:
Groenen, P.J.F., Giaquinto,
P. & Kiers, H.A.L. (2005) An improved majorization
algorithm for robust Procrustes analysis. In M. Vichi, P. Monari, S. Mignani & A. Montenari (Eds.)
New Developments in Classification and Data Analysis.
129: Siegrist,
M., Keller.C., & Kiers, H.A.L. (2005) A new look at the psychometric
paradigm of perception of hazards. Risk Analysis,
25, 211-222.
130:
Kiers, H.A.L. (2005). Bootstrap Confidence Intervals for Three-way Component
Methods. In: C. Weihs & W. Gaul (Eds.) Classification
– The Ubiquitous Challenge,
131: Kiers, H.A.L., Vicari,
D., & Vichi, M. (2005) Simultaneous
Classification and Multidimensional Scaling with External Information. Psychometrika,
70, 433-460.
132: Ten Berge, J.M.F.,
& Kiers, H.A.L. (2005) A comparison of two methods for fitting the INDCLUS
model. Journal of Classification, 22, 273-285.
133: Van de Velden, M. & Kiers, H.A.L. (2005) Rotation in
Correspondence Analysis. Journal of
Classification, 22, 251-271.
134: Ceulemans,
E. & Kiers, H.A.L. (2006) Selecting among three-way
principal component models of different types and complexities: A numerical
convex hull based method. British Journal of
Mathematical and Statistical Psychology,
59, 133-150.
135: Kiers, H.A.L. (2006) Properties of and algorithms
for fitting three-way component models with offset terms. Psychometrika, 71, 231-257.
136: Siegrist,
M., Keller, C., & Kiers, H.A.L. (2006) Lay people’s perception of food
hazards:
Comparing aggregated data and individual data. Appetite, 47, 324-332.
137: Kiers, H.A.L. & Groenen, P.J.F. (2006) Visualizing Dependence of Bootstrap
Confidence Intervals for Methods Yielding Spatial Configurations. In
138: Coppi, R, Gil, M.A.,
Kiers, H.A.L. (2006) The fuzzy approach to statistical
analysis. Statistics and Data Analysis, 51, 1-14.
139: Giordani,
P. & Kiers, H.A.L. (2006) A
Comparison of Three Methods for Principal Component Analysis of Fuzzy Interval
Data, Computational Statistics and Data
Analysis, 51,
379-397.
140: Coppi, R, Gil, M.A.,
Kiers, H.A.L. (2006) The fuzzy approach to Statistical
Analysis [special issue] Statistics and Data Analysis, 51, 1.
141: Hanafi, M., & Kiers, H.A.L. (2006) Analysis of
K sets of data, with differential emphasis on agreement between and within
sets. Computational Statistics and Data
Analysis, 51, 1491-1508.
142: Hoekstra, R., Finch, S., Kiers, H.A.L., & Johnson, A. (2006)
Probability as certainty. Psychonomic
Bulletin & Review, 13, 1033-1037.
143. Coppi, R, Gil, M.A.,
Kiers, H.A.L. (2007) Review on the special issue "The Fuzzy Approach to
Statistical Analysis" (Computational Statistics and Data Analysis, Volume,
51, Issue 1, pp. 1-452 (2006). Renato Coppi,
Maria A. Gil and Henk A.L. Kiers, Eds.) Fuzzy Sets and Systems, 158 (19), 2203-2208.
144.
145. Giordani,
P. & Kiers,. H.A.L. (2007) Principal
Component Analysis with Boundary Constraints. Journal of Chemometrics,
21, 547–556.
146. Kiers, H.A.L., & Smilde, A.K. (2007) A comparison of various methods for Multivariate
Regression with highly collinear variables. Statistical
Methods and Applications, 16, 193-228.
147. Vichi,
M., Rocci, R., & Kiers, H.A.L. (2007) Simultaneous Component and Clustering models for three-way data: Within
and Between Approaches. Journal of Classification, 24,:71-98.
148. Bro, R., Qannari, E.M. Kiers, H.A.L., Naes,
T., & Bom, M. (2008) Multi-way Models for Sensory
Profiling Data. Journal of Chemometrics, 22, 36-45.
149. Bro, R., Kjeldahl, K., Smilde, A.K., &
Kiers, H.A.L. (2008) Cross-validation of component models: A critical look at
current methods. Analytical and Bioanalytical Chemistry, 390, 1241-1251.
150. van Beilen, M., Portman,
A.T., Kiers, H.A.L., Maguire, R.P., Kaasinen, V. Koning, M., Pruim, J., Leenders, K.L. (2008) Striatal FDOPA uptake and cognition
in advanced non-demented Parkinson’s Disease: a clinical and FDOPA-PET study. Parkinsonism and related
disorders, 14, 224-228.
151. Tendeiro, J.N., ten
Berge, J.M.F., & Kiers, H.A.L. (2009) Simplicity transformations for
three-way arrays with symmetric slices, and applications to Tucker-3 models with
sparse core arrays. Linear Algebra and its Applications, 430, 924-940.
152. Smilde, A.K. Kiers, H.A.L., Bijlsma, S., Rubingh, C.M., & van Erk, M.J. (2009). Matrix correlations for high-dimensional data: the modified
RV-coefficient. Bioinformatics,
25, 401–405.
153. Stuive, I., Kiers, H.A.L.,
154. Ter
Braak, C.J.F., Kourmpetisa,
Y., Kiers, H.A.L., & Bink, M.C.A.M. (2009) Approximating a similarity matrix by a latent
class model: a reappraisal of additive
fuzzy clustering. Computational
Statistics and Data Analysis, 53, 3183-3193.
155.
156. Kiers, H.A.L., & Harshman,
R.A. (2009) An Efficient Algorithm for PARAFAC with Uncorrelated Mode-A
Components Applied to Large IxJxK Data Sets with
I>>JK , Journal of Chemometrics, 23,442-447.
157. Lorenzo-Seva, U., van de Velden, M. &
Kiers, H.A.L. (2009) Oblique rotation in correspondence analysis: a step
forward in the search of the simplest interpretation, British Journal of Mathematical and Statistical Psychology, 62, 583-600.
158. Ceulemans, E. & Kiers,
H.A.L. (2009) Discriminating between strong and weak structures in three-mode
principal component analysis. British
Journal of Mathematical and Statistical Psychology,62,
601-620.
159. Van Deun,
K., Smilde, A.K., van der Werf, M.J., Kiers, H.A.L., &
Van Mechelen,
160. Van den Berg, R.A., van Mechelen, I., Wilderjans, T., Van
Deun, K., Kiers, H.A.L., & Smilde,
A.K. (2009) Integrating functional genomics data using maximum likelihood based
simultaneous component analysis, BMC Bioinformatics, 10:340.
161. Lorenzo-Seva, U., van de Velden, M. &
Kiers, H.A.L. (2009) CAR: A MATLAB
Package to Compute Correspondence Analysis with Rotations, Journal of Statistical Software, 31, 8.
162. Stuive, I., Kiers,
H.A.L.,
163. Wilderjans, T., Ceulemans, E., Kiers, H.A.L., & Meers,
K. (2009) The LMPCA program: A graphical user interface for fitting the
Linked-Mode PARAFAC-PCA model to coupled real-valued data, Behavior Research Methods, 41, 1073-1082.
164. Oosterhof, A., Van
der Vegt, G.S., Van de Vliert, E., Sanders, K., &
Kiers, H.A.L. (2009). What’s the
Difference? Insider Perspectives on the Importance, Content,
and Meaning of Interpersonal Differences. Journal of Occupational and
Organizational Psychology, 82(3), 617-638.
165.
166. Ceulemans, E.,
Timmerman, M.E., & Kiers, H.A.L. (2011) The CHULL procedure for selecting
among multilevel component solutions, Chemometrics and
Intelligent Laboratory Systems, 106, 12-20.
167. Lorenzo-Seva, U., Timmerman, M.E., & Kiers, H.A.L. (2011) The Hull method for
selecting the number of common factors. Multivariate Behavioral Research, 46, 340–364.
168. Bennani-Dosse,
M., ten Berge, J.M.F., & Kiers, H.A.L. (2011) Anisotropic
generalized Procrustes analysis, Computational
Statistics and Data Analysis, 55, 1961–1968.
169. Van Ginkel, J. R., & Kiers, H. A. L.
(2011). Constructing bootstrap confidence intervals
for principal component loadings in the presence of missing data: a
multiple-imputation approach. British Journal of
Mathematical and Statistical Psychology, 64, 498-515.
Books:
Kiers,
H.A.L. (1989) Three-way methods for the analysis of qualitative and
quantitative two-way data.
Kiers,
H.A.L., J.-P. Rasson, P.J.F. Groenen, & M. Schader (Eds) (2000) Data
Analysis, Classification, and Related Methods.
Siero, F.W., Huisman, M., &
Kiers, H.A.L. (2009). Voortgezette
regressie- en variantieanalyse. Houten: Bohn, Stafleu Van Loghum.