[1] M.Schafroth, B.Flury und M.Kläy (1980): Erste Erfahrungen
mit der Programmbibliothek STATPLOT. Statistical Software
Newletter, 6, 116-121.
[2] B.Frey, F.Frey, A.Zimmermann, N.Arquint, E.Wegmüller,
J.Hodler and B.Flury ,1980): Prediction of the histological type
of glomerulonephritis. Nephron, 25, 276-279.
[3] A.Zimmermann, P.Luscieti, M.W.Hess, H.Cottier and B.Flury
(1981): Amyloid-containing renal interstitial cell nodules are
associated with chronic arterial hypertension in older age groups.
American Journal of Pathology, 105, 188-194.
[4] B.Flury and H.Riedwyl (1981): Graphical representation
of multivarate data by means of asymmetrical faces. Journal
of the American Statistical Association, 76, 757-766.
[5] B.Flury and H.Riedwyl (1983): Angewandte multivariate
Statistik. Verlag Gustav Fischer, Stuttgart & New York.
[6] B.Flury (1983): Some relations between the comparison
of covariance matrices and principal component analysis. Computational
Statistics and Data Analysis, 1, 97-107.
[7] B.Flury and H.Riedwyl (1983): Some applications of asymmetrical
faces. Proceedings of the Statistical Computing Section,
ASA Meeting Toronto 1983, pp. 226-231.
[8] E.Bossi, F.Körner, B.Flury and M.Zulauf (1984):
Retinopathy of prematurity: a risk factor analysis with univariate
and multivariate statistics. Helv. Pädiatr. Acta,
39, 307-317.
[9] B.Flury (1984): Frühgeborenen-Retinopathie: Gedanken
zur Anwendung statistischer Methoden. In: F.Körner und E.Bossi,
eds., Die Retinopathie des Frühgeborenen, Verlag
Gustav Fischer, Stuttgart, pp. 201-215.
[10] K.C.S.Pillai and B.Flury (1984): Percentage points of
the largest characteristic root of the multivariate beta-matrix.
Communications in Statistics (Theory and Methods), 13,
2199-2237.
[11] B.Flury (1984): Common principal components in k groups.
Journal of the American Statistical Association, 79,
892-898.
[12] F.Körner, E.Bossi, C.Wetzel and B.Flury (1985):
Retinopathy of prematurity: the influence of gestational age
and retinal maturity on the statistical behavior of risk factors.
Gräfe's Archive for Clinical and Experimental Ophtalmology,
224, 40-45.
[13] B.Flury and H.Riedwyl (1985): T2-tests, the
linear two-group discriminant function, and their computation
by linear regression. The American Statistician, 39,
20-25.
[14] B.Flury and G.Constantine (1985): The FG diagonalization
algorithm, Algorithm AS 211. Applied Statistics, 34,
177-183.
[15] B.Flury (1985): A note on multivariate parallel regression.
Journal of Statistical Planning and Inference, 12,
369-377.
[16] B.Flury (1985): Analysis of linear combinations with
extreme ratios of variance. Journal of the American Statistical
Association, 80, 915-922.
[17] K.Pfister und B.Flury (1985): Kokzidiose beim Schaf.
Schweizerisches Archiv für Tierheilkunde, 127,
433-441.
[18] B.Flury and W.Gautschi (1986): An algorithm for simultaneous
orthogonal transformation of several positive definite symmetric
matrices to nearly diagonal form. SIAM Journal on Scientific
and Statistical Computing, 7, 169-184.
[19] B.Flury (1986): Proportionality of k covariance matrices.
Statistics and Probability Letters, 4, 29-33.
[20] B.Flury (1986): An asymptotic test for redundancy of
variables in the comparison of two covariance matrices. Statistics
and Probability Letters, 4, 123-126.
[21] B.Flury (1986): Asymptotic theory for common principal
component analysis. The Annals of Statistics, 14,
418-430.
[22] B.Flury (1986): On sums of random variables and independence.
The American Statistician, 40, 214-215.
[23] B.Flury and H.Riedwyl (1986): Standard distance in univariate
and multivariate analysis. The American Statistician,
40, 249-251.
[24] B.Flury (1987): Two generalizations of the common principal
component model. Biometrika, 74, 59-69.
[25] B.Flury (1987): A hierarchy of relationships between
covariance matrices. In: Advances in Multivariate Statistics,
ed. A.K. Gupta, D.Reidel Publishing Company, Boston, pp. 31-43.
[26] B.Flury and H.Riedwyl (1988): Multivariate Statistics:
A Practical Approach. Chapman and Hall, London.
[27] J.P.Airoldi and B.Flury (1988): An application of common
principal component analysis to cranial morphometry of Microtus
californicus and M. ochrogaster (Mammalia, Rodentia). Journal
of Zoology, London, 216, 21-36. With discussion and
rejoinder pp. 41-43.
[28] B.Flury (1988): Principal components of genuine and
counterfeit bank notes. The New Zealand Statistician,
23, 9-16.
[29] B.Flury (1988): Common Principal Components and Related
Multivariate Models. Wiley, New York.
[30] B.Flury (1989): Understanding partial statistics and
redundancy of variables in regression and discriminant analysis.
The American Statistician, 43, 27-31.
[31] B.Flury (1990): Principal Points. Biometrika,
77, 33-41.
[33] B. Flury (1990): Das Diskriminationsparadox. In: Die
Wirtschafts- und Sozialwissenschaften, Universitätsverlag
Freiburg (Schweiz), pp. 315-325.
[34] B.Flury and A.Narayanan (1992): The mixture approach
to MANOVA. The American Statistician, 46, 31-34.
[35] B.Flury and M.J.Schmid (1992): Quadratic discriminant
functions with constraints on the covariance matrices: some asymptotic
results. Journal of Multivariate Analysis, 40,
244-261.
[36] B. Flury, J.P. Airoldi, and J.P. Biber (1992): Gender
identification of water pipits using mixtures of distributions.
Journal of Theoretical Biology, 158, 465-480.
[37] B. Flury (1993): Estimation of principal points. Applied
Statistics, 42, 139-151.
[38] B. Flury and B. E. Neuenschwander (1993): Principal
Components and Proportionality in Patterned Covariance Matrices.
In: Statistical Modelling and Latent Variables, Eds. K.
Haagen, D.J. Bartholomew, and M. Deistler, Elsevier Science Publishers,
Amsterdam, pp. 113-125.
[39] B. Flury and T. Tarpey (1993): Representing a large
number of curves: a case for principal points. The American
Statistician, 47, 304-306.
[40] B. Flury and B. E. Neuenschwander (1994): Modelling
principal Components with Structure. In: Proceedings of the
First US/Japan Conference on Statistical Modelling, Ed. H.
Bozdogan, Kluwer Academic Publishers, pp. 183-198.
[41] B. E. Neuenschwander and B. Flury (1994): Principal
components and model selection. In: Selecting Models from
Data: AI and Statistics IV, Eds. P. Cheeseman and R.W. Olford,
Springer Verlag, New York, pp. 425-432.
[42] B.Flury, M.J.Schmid, and A. Narayanan: (1994): Error
rates in quadratic discrimination with constraints on the covariance
matrices. Journal of Classification, 11, 101-120.
[43] B. Flury (1995): Developments in principal component
analysis: a review. Chapter 2 in: Descriptive Multivariate
Analysis, Ed. W.J. Krzanowski, Oxford University Press, pp.
14-33.
[44] B. Flury and B. E. Neuenschwander (1995): Principal
component models for patterned covariance matrices, with applications
to canonical correlation analysis of several sets of variables.
Chapter 5 in: Descriptive Multivariate Analysis, Ed. W.
J. Krzanowski, Oxford University Press, pp. 90-112.
[45] B. Flury (1994): Discussion of ``Analysis of additive
dependencies and concurvities using smallest additive principal
components'' by Donnell, Buja, and Stuetzle. The Annals of
Statistics, 22, 1668-1670.
[46] T. Tarpey, L. Li, and B. Flury (1995): Principal points
and self-consistent points of elliptical distributions. The
Annals of Statistics, 23, 103-112.
[47] P.L. Novi Inverardi and B. Flury (1992): Robust estimation
of common principal components. Quaderni di Statistica e Matematica
applicata alle Scienze Economico-Sociali, 14, 49-80.
[48] B. Flury and B. Neuenschwander (1995): Simultaneous
diagonalization algorithms with applications in multivariate
statistics. In: Approximation and Computation, Ed. R.V.M.
Zahar, Birkhäuser, Basel, pp. 179-205.
[49] J.-P. Airoldi, B. Flury, and M. Salvioni (1995): Discrimination
between two species of Microtus using both classified and unclassified
observations. Journal of Theoretical Biology, 177,
247-262.
[50] B.E. Neuenschwander and B. Flury (1995): Common canonical
variates. Biometrika, 82, 553-560.
[51] B. Flury, D.G. Nel, and I. Pienaar (1995): Simultaneous
detection of shift in means and variances. Journal of the
American Statistical Association, 90, 1474-1481.
[52] L. Li and B. Flury (1995): Uniqueness of principal points
for univariate distributions. Statistics and Probability Letters,
25, 323-327.
[53] C.M. Keller, A.V. Cabot, and B. Flury (1995): Two algorithms
for global optimization. Mathematical Computing and Modelling,
21, no. 12, 47-59.
[54] M.N. Goria and B. Flury (1996): Common canonical variates
in k independent groups. Journal of the American Statistical
Association, 91, 1735-1742.
[55] L. Flury, B. Boukai, and B. Flury (1995): Quadratic
discrimination using a linear discriminant function. Quaderni
di Statistica e Matematica Applicativa alle Scienze Economico-sociali,
17, 3-22.
[56] C. P. Klingenberg, B. E. Neuenschwander, and B. Flury
(1996): Ontogeny and individual variation: analysis of patterned
covariance matrices with common principal components. Systematic
Biology, 45, 135-150.
[57] T. Tarpey and B. Flury (1996): Self-consistency: a fundamental
concept in statistics. Statistical Science, 11,
229-243.
[58] L. Flury, B. Boukai, and B. Flury (1997): The discrimination
subspace model. Journal of the American Statistical Association,
92, 758-766.
[59] B. E. Neuenschwander and B. Flury (1997): A Note on
Silvey's (1959) Theorem. Statistics and Probability Letters,
36, 307-318.
[60] B. Flury (1997): A First Course in Multivariate Statistics.
Springer-Verlag, New York.
[61] B. Flury, R. Irving, and M.N. Goria (1997): Magic Dice.
The American Mathematical Monthly, in press (april 1999).
[62] B. Flury (1998): Principal Components. In: Encyclopedia
of Statistical Sciences Update Vol. 3, ed. S. Kotz et al,
Wiley, New York.
[63] B. Flury and T. Tarpey (1998): Principal Points. In:
Encyclopedia of Statistical Sciences Update vol. 3, ed.
S. Kotz et al, Wiley, New York. In press.
[64] B. Flury and T. Tarpey (1998): Self-Consistency. In:
Encyclopedia of Statistical Sciences Update vol. 3, ed.
S. Kotz et al, Wiley, New York. In press.
[65] B. Neuenschwander and B. Flury (1998): Common principal
components for dependent random vectors. Journal of Multivariate
Analysis, accepted for publication.
[66] B. Flury and B. Neuenschwander (1999): The myth of underspecified
regression models. Student, Vol. 3, No.3.
[67] B. Flury and E. Levri (1998): Periodic logistic regression.
Ecology, in press.
[68] S. Bartoletti, B. Flury, and D.G. Nel (1998): Allometric
extension. Biometrics, in press.
