Yoshio Takane earned his Bachelor of Letters (BL) degree in 1970, Master of Letters (ML) in 1972 and Doctor of letters
in 1976, all from the University of Tokyo. In 1977, he earned his Ph. D. in Psychometrics from the Univeraity of
North Carolina at Chapel Hill. He has been on the faculty of the Department of Psychology, McGill University
(Montreal, Canada) since 1977.

He is interested in developing various psychometric methods,
and have previously published a number of articles on:

1. A variety of multivariate data analysis techniques with optimal data transformations of variables.
2. Maximum likelihood multidimensional scaling (MDS) methods for a variety of data collection procedures.
3. IRT (Item Response Theory) and ACOVS (Analysis of Covariance Structure) modelling of individual differences in preference judgments.
4. A method for contingency table analysis called IPDA (Ideal Point Discriminant Analysis).
5. Constrained Principal Component Analysis (CPCA), Different Constraints on Different Dimensions (DCDD), Extended Redundancy Analysis (ERA), and Generalized Structured Component Analysis
(GSCA).
6. Generalized Constrained Canonical Correlation Analysis (GCCANO) and Generalized Constrained Redundancy Analysis (GCRA).
7. Regularization methods for a variety of multivariate data analysis techniques.
8. Simulation of psychological phenomena by neural network (NN) models, and analysis of knowledge representations in NN models.
9. Nonlinear multivariate data analysis by NN models and kernel methods.
10. Matrix methods in psychometrics.

 

Below are a list of publications by Yoshio Takane. You will require Adobe Acrobat Reader to view these files.
You can download it here.


1 . Published Books

(m004) Takane, Y . (1995). Constrained principal component analysis. Tokyo: Asakurashoten, (in Japanese).
(m003) Ferguson, G.A., and Takane, Y. (1989). Statistical analysis in psychology and education. 6th ed. New York: McGraw Hill.
(m002) Takane, Y. (1980). Multidimensional scaling. Tokyo: University of Tokyo Press, (in Japanese).
(m001) Yanai, H., and Takane, Y. (1977). Multivariate analysis. Tokyo: Asakurashoten, (in Japanese).

 

2 . Submitted Papers (Submitted papers may be obtained by contact)

(s014) Takane, Y., Jung, K., and Hwang, H. (2009). Regularized growth curve models.
(s013) van de Velden, M., and Takane, Y. (2009). Generalized canonical correlation analysis with missing values.
(s012) Jung, S., and Takane, Y. (2009). Regularized structural equation models with latent variables.
(s011) Metzak, P., Feredoes, E., Takane, Y., Wang, L., Weinstein, S., Ngan, E., and Woodward, T. (2009). Constrained principal component analysis reveals functionally connected load-dependent networks involved in multiple stages of working memory.
(s010) Loisel, S., and Takane, Y. (2009). Generalized GIPSCAL re-revisited: A fast convergent algorithm with acceleration by the minimum polynomial extrapolation.
(s009) Loisel, S., and Takane, Y. (2009). Minimum polynomial extrapolation in MATLAB and in R.
(s008) Hwang, H., Dillon, W. R., and Takane, Y. (2009). Fuzzy cluster multiple correspondence analysis.
(s007) Takane, Y., Jung, K., and Hwang, H. (2009). An acceleration technique for ten Berge et al.'s algorithm for orthogonal INDSCAL.
(s006) Liu, Y., Tian, Y., and Takane, Y. (2009). Ranks of Hermitian solutions to the matrix equation AXA* = B.
(s005) Takane, Y., and Tian, Y. (2005). The null space of the information matrix in maximum likelihood multidimensional scaling.
(s004) Tian, Y., and Takane, Y. (2004). On the relations between two matrix sets generated by linear matrix expressions.
(s003) Takane, Y., Hwang, H., and Oshima-Takane, Y. (2001). A kernel method for multiple-set canonical correlation analysis.
(s002) Takane, Y., and Oshima-Takane, Y. (2001). Neural network models for non-linear generalized canonical correlation analysis.
(s001) Hwang, H., and Takane, Y. (2003). Extended redundancy analysis: Extended features.

 

3 . Published Papers

(p096) Hwang, H., and Takane, Y. (in press). Nonlinear generalized structured component analysis. Behaviormetrika.
(p095) Takane, Y., and Jung, S. (2009). Tests of ignoring and eliminating in nonsymmetric correspondence analysis. Advances in Data Analysis and Classification, 3, 315-340.
(p094) Takane, Y., and Zhang, Z. (in press). Algorithms for DEDICOM: Acceleration, deceleration, or neither? Journal of Chemometrics.
(p093) Tian, Y., and Takane, Y. (in press). The inverse of any 2 x 2 nonsingular partitioned matrix and three matrix inverse completion problems. Computers and Mathematics with Applications.
(p092) Takane, Y., and Yanai, H. (2009). On the necessary and sufficient condition for the extended Wedderburn-Guttman theorem. Linear Algebra and Its Applications, 430, 2890-2895.
(c045) Zhang, Z., and Takane, Y. (in press). Statistics: Multidimensional scaling. In E. Baker, B. McGaw, and P. P. Peterson (Eds.), International Encyclopedia of Education (3rd Edition).
(p091) Tian, Y., and Takane, Y. (2009). On consistency, natural restrictions and estimability under classical and extended growth curve models. Journal of Statistical Inference and Planning, 139, 2445-2458.
(p090) Tian, Y., and Takane Y. (2009). More on generalized inverses of partitioned matrices with Banachiwicz-Schur forms. Linear Algebra and Its Applications, 430, 1641-1655.
(p089) Takane, Y., and Jung, S. (2009). Regularized nonsymmetric correspondence analysis. Computational Statistics and Data Analysis, 53, 3159-3170.
(p088) Takane, Y., and Jung, S. (2008). Regularized partial and/or constrained redundancy analysis. Psychometrika, 73, 671-690.
(c044) Hwang, H., Tomiuk, M., and Takane, Y. (2009). Correspondence analysis, multiple correspondence analysis and recent developments. In R. E. Millsap and A. Maydeu-Olivares (Eds.), Handbook of quantitative methods in psychology, (pp. 243-263). London: Sage Publications.
(p087) Takane, Y., Hwang, H., and Abdi, H. (2008). Regularized multiple-set canonical correlation analysis. Psychometrika, 73, 753-775.
(c043) Takane, Y., Jung, S., and Oshima-Takane, Y. (2009). Multidimensional scaling. In R. E. Millsap and A. Maydeu-Olivares (Eds.), Handbook of quantitative methods in psychology, (pp. 219-242). London: Sage Publications.
(c042) Jung, S., and Takane, Y. (2008). Regularized common factor analysis. In K. Shigemasu, A. Okada, T.Imaizumi, and T. Hoshino (Eds.) New Trends in Psychometrics, (pp. 141-149). Tokyo: University Academic Press.
(p086) Hwang, H., Takane, Y., and Malhotra, N. (2007). Multilevel generalized structured component analysis. Behaviormetrika. 34, 95-109.
(p085) Takane, Y., and Yanai, H. (2008). On ridge operators. Linear Algebra and Its Applications.428, 1778-1790.
(c041) Takane, Y. (2008). More on regularization and (generalized) ridge operators. In K. Shigemasu, A. Okada, T.Imaizumi, and T. Hoshino (Eds.) New Trends in Psychometrics, (pp. 443-452). Tokyo: University Academic Press.
(p084) Tian, Y., and Takane, Y. (2008). Some properties of projectors associated with the WLSE under a general linear model. Journal of Multivariate Analysis. 99, 1070-1082.
(p083) Tian, Y., and Takane, Y. (2007). Some algebraic properties of WLSEs under a general growth curve model. Electronic Journal of Linear Algebra. 16, 187-203.
(p082) Tian, Y., and Takane, Y. (2009). On V-orthogonal projectors associated with a semi-norm. Annals of the Institute of Statistical Mathematics, 61, 517-530.
(p081) Tian, Y., and Takane, Y. (2008). On sum decompositions of weighted least-squares estimators for the partitioned linear model. Communications in Statistics: Theory and Methods, 37, 55-69.
(p080) Takane, Y., and Hwang, H. (2007). Regularized linear and kernel redundancy analysis. Computational Statistics and Data Analysis. 52, 394-405.
(p079) Shultz, T. R., and Takane, Y. (2007). Rule following and rule use in simulations of the balance scale task. Cognition, 103, 460-472.
(p078) Takane, Y., and Yanai, H. (2007). Alternative characterizations of the extended Wedderburn-Guttman theorem. Linear Algebra and Its Applications, 422, 701-711.
(p077) Hwang, H., Takane, Y., and DeSarbo, W. S. (2007). Fuzzy clusterwise growth curve models via generalized estimating equations: An application to the antisocial behavior of children. Multivariate Behavioral Research. 42, 233-259.
(p076) Hwang, H., DeSarbo, W.S., and Takane, Y. (2007). Fuzzy clusterwise generalized structured component analysis. Psychometrika. 72, 181-198.
(p075) Takane, Y., and Jung, S. (2006). Generalized constrained redundancy analysis. Behaviormetrika, 33, 179-192.
(p074) Takane, Y., Tian, Y., and Yanai, H. (2007). On constrained g-inverses of matrices and their properties. Annals of the Institute of Statistical Mathematics, 59, 807-820.
(p073) Takane, Y., Tian, T., and Yanai, H. (2007). On reverse order laws for least-squares g-inverses and minimum norm g-inverses of a matrix. Aequationes Mathematicae, 73, 56-70.
(c040) Yanai, H., and Takane, Y. (2007). Matrix methods and their applications to factor analysis. In Lee, S. Y. (Ed.), Handbook of Structural Equation Models, (pp. 345-366). Amsterdam: Elsevier.
(p072) Tian, Y., and Takane, Y. (2005). Schur complements and Banachiewicz-Schur forms. Electronic Journal of Linear Algebra, 13, 405-418.
(p071) Yanai, H., Takane, Y., and Ishii, H. (2006). Non-negative determinant of a rectangular matrix: Its definition and applications to multivariate analysis. Linear Algebra and Its Applications, 417, 259-274.
(c039) Takane, Y. (2007). Applications of multidimensional scaling in psychometrics. In Rao, C. R., and Sinharay, S. (Eds.), Handbook of Statistics (Vol. 26): Pyschometrics, (pp. 359-400). Amsterdam: Elsevier.
(p070) Takane, Y., and Yanai, H. (2005). On the Wedderburn-Guttman theorem. Linear Algebra and Its Applications, 410, 267-278.
(p069) Tian, Y., and Takane, Y. (2006). On common generalized inverses of a pair of matrices. Linear and Multilinear Algebra, 54, 195-209.
(p068) Woodward, T. S., Cairo, T. A., Ruff, C. C., Takane, Y., Hunter, M. A., and Ngan, E. T. C. (2006). Load dependent neural systems underlying encoding and maintenance in verbal working memory. Neuroscience, 139, 317-325.
(p067) Hwang, H., and Takane, Y. (2005). Estimation of growth curve models with structured error covariances by generalized estimating equations. Behaviormetrika, 32, 155-163.
(p066) Hwang, H., Takane, Y., and Lee, J. (2005). An extended multivariate random-effects growth curve model. Behaviormetrika, 32, 141-153.
(p065) Hwang, H., Dillon, W. R., and Takane, Y. (2006). An extension of multiple correspondence analysis for identifying heterogenous subgroups of respondents. Psychometrika, 71, 161-171.
(c038) Takane, Y., and Hwang, H. (2006). Regularized multiple correspondence analysis. In Blasius, J., and Greenacre, M. J. (Eds.), Multiple correspondence analysis and related methods, (pp. 259-279). London: Chapman and Hall.
(p064) Takane, Y., and Hwang, H. (2005). An extended redundancy analysis and its applications to two practical examples. Computational Statistics and Data Analysis, 49, 785-808.
(p063) Takane, Y., Yanai, H., and Hwang, H. (2006). An improved method for generalized constrained canonical correlation analysis. Computational Statistics and Data Analysis, 50, 221-241.
(c037) Takane, Y. (2005). Optimal scaling. In Everitt, B., and Howell, D. (Eds.), Encyclopedia of Statistics for Behavioral Sciences.(pp. 1479-1482). Chichester: Wiley.
(c036) Takane, Y. (2005). Scaling asymmetric tables. In Everitt, B., and Howell, D. (Eds.), Encyclopedia of Statistics for Behavioral Sciences. (pp.1787-1790). Chichester: Wiley.
(p062) Takane, Y., and Hwang, H. (2005). On a test of dimensionality in redundancy analysis. Psychometrika, 70, 271-281.
(c035) Takane, Y., van der Heijden, P.G.M., and Browne, M.W. (2003). On likelihood ratio tests for dimensionality selection. In Higuchi, T., Iba, Y., and Ishiguro, M. (Eds.), Proceedings of Science of Modeling: The 30 th Anniversary Meeting of the Information Criterion (AIC), (pp.348 - 349). Report on Research and Education 17. Tokyo: The Institute of Statistical Mathematics.
(c034) Takane, Y., Oshima-Takane, Y., and Shultz, T.R. (2003). Neural network simulations by cascade correlation and knowledge-based cascade correlation networks. In Higuchi, T., Iba, Y., and Ishiguro, M. (Eds.), Proceedings of Science of Modeling: The 30 th Anniversary Meeting of the Information Criterion (AIC), (pp. 245-254). Report on Research and Education 17. Tokyo: The Institute of Statistical Mathematics.
(p061) Hwang, H., and Takane, Y. (2004). Generalized structured component analysis. Psychometrika, 69, 81-99.
(p060) Hwang, H., and Takane Y. (2004). A multivariate reduced rank growth curve model. Psychometrika, 69, 65-79.
(p059) Takane, Y. (2004). Matrices with special reference to applications in psychometrics. Linear Algebra and Its Applications, 388C, 341-361.
(p058) Takane, Y. (2003). Question hard, answer simply: A comment on Storm et al. (2003), Neuropsychology, 17, 321-322.
(p057) Takane, Y., and Oshima-Takane, Y. (2003). Relationships between two methods of dealing with missing data in principal component analysis, Behaviormetrika, 30, 145-154.
(c033) Takane, Y. (2002). Relationships among various kinds of eigenvalue and singular value decompositions. In Yanai, H., Okada, A., Shigemasu, K., Kano, Y., and Meulman, J. (Eds.), New developments in psychometrics, (pp. 45-56). Tokyo: Springer Verlag.
(p056) Hunter, M. A., and Takane, Y. (2002). Constrained principal component analysis: Various applications. Journal of Educational and Behavioral Statistics, 27, 41-81.
(p055) Hwang, H., and Takane, Y. (2002). Generalized constrained multiple correspondence analysis, Psychometrika, 67, 215-228.
(p054) Takane, Y., and Oshima-Takane (2002). Behaviormetrics: Some thoughts at the turn of a new century. Invited Paper, Special Issue of the Japanese Journal of Behaviormetrics, 28, 3-11 (in Japanese).
(p053) Takane, Y., and Hwang, H. (2002). Generalized constrained canonical correlation analysis. Multivariate Behavioral Research, 37, 163-195.
(c032)

Takane, Y., and Oshima-Takane, Y. (2002). Approximations of nonlinear functions by neural nets. In Yanai, H., Okada, A., Shigemasu, K., Takagi, H. and Iwasaki, M. (Eds.), Handbook of multivariate analysis examples (pp. 624-632). Tokyo: Asakurashoten (in Japanese).

(c031) Takane, Y., and Oshima-Takane, Y. (2002). Nonlinear generalized canonical correlation analysis by neural network models. In Nishisato, S., Baba, Y., Bozdogan, H., and Kanefuji, K. (Eds.), Measurement and multivariate analysis (pp. 183-190). Tokyo: Springer Verlag.
(c030) Takane, Y., and Hunter, M. A. (2002). Dimension reduction in hierarchical linear models. In Nishisato, S., Baba, Y., Bozdogan, H., and Kanefuji, K. (Eds.), Measurement and multivariate analysis (pp. 145-154). Tokyo: Springer Verlag.
(c029) Hwang, H., and Takane, Y. (2002). Structural equation modeling by extended redundancy analysis. In Nishisato, S., Baba, Y., Bozdogan, H., and Kanefuji, K. (Eds.), Measurement and multivariate analysis (pp. 115-124). Tokyo: Springer Verlag.
(p052) Takane, Y., and Hunter, M. A. (2001). Constrained principal component analysis: A comprehensive theory. Applicable Algebra in Engineering, Communication, and Computing, 12, 391-419.
(c028) Takane, Y. (2001). Stimulus identification data and quasi-symmetry. Paper in honor of Henri Caussinus. (http://www.lsp.ups-tlse.fr/ProjetQS/index.html)
(c027) Takane, Y., and Kiers, H. A. L. (2001). Latent Class DEDICOM. Proceedings of the Joint 9th IFSA World Congress and 20th NAFIPS International Conference (pp. 655-660).
(p051) Oshima-Takane, Y., Takane, Y., and Shultz, T.R. (1999). The learning of first and second person pronouns in English: Network models and analysis. Journal of Child Language, 26, 545-575.
(p050) Koene, R. , and Takane, Y. (1999). Discriminant analysis pruning: Regularization and interpretation of multi-layered back-propagation networks. Neural Computation, 11, 783-802.
(p049) Takane, Y., and Yanai, H. (1999). On oblique projectors. Linear Algebra and Its Applications, 289, 297-310.
(p048) Takane, Y., Oshima-Takane, Y., and Shultz, T. R. (1999). Analysis of knowledge representations in cascade correlation networks. Behaviormetrika, 26, 5-28.
(p047) Hunter, M. A., and Takane, Y. (1998). CPCA: A program for principal component analysis with external information on subjects and variables. Behavior Research Methods, Instruments, and Computers , 30, 506-516.
(c026) Oshima-Takane, Y., Takane, M., and Takane, Y. (1998). Learning of first, second and third person pronouns. Proceedings of the Eighteenth Annual Meeting of the Cognitive Science Society (pp. 800-805). Hillsdale, NJ: Erlbaum.
(c025) Takane, Y. (1998). Nonlinear multivariate analysis by neural network models. In Hayashi, C., Ohsumi, N., Yajima, K., Tanaka, Y., Bock, H. H., and Baba, Y. (Eds.), Data science, classification, and related methods (pp. 527-538). Tokyo: Springer.
(c024) Takane, Y. (1998). Nolinear PCA by neural network models. In the Proceedings of the 63rd Annual Meeting of the Japan Statistical Society (pp. 258-260).
(c024) Takane, Y. (1998). Visualization in ideal point discriminant analysis. In Blasius, J., and Greenacre, M. J. (Eds.), Visualizations of categorical data (pp. 441-459). New York: Academic Press.
(p046) Takane, Y. (1998). Choice model analysis of the pick any/n type of binary data. Japanese Psychological Research, 40, 31-39.
(p045) Takane, Y., and Kiers, H. A. L. (1997). Latent class DEDICOM. Journal of Classification, 14, 225-247.
(c022) Takane, Y. (1997). CPCA: A comprehensive theory. In the Proceedings of the 1997 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 35-40).
(c021) Tetewsky, S. J., Shultz, T. R., and Takane, Y. (1997). Training regimens and function compatibility: Implications for understanding the effects of prior knowledge on concept learning. In the Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society (pp. 304-309). Hillsdale, NJ: Erl-baum.
(c020) Takane, Y. (1997). The use of PSVD and QSVD in psychometrics. In the Bulletin of the International Statistical Institute, 51st Session (pp. 255- 58).
(p044) Takane, Y. (1996). An item response model for multidimensional analysis of multiple-choice questionnaire data. Behaviormetrika, 23, 153-167.
(p043) Kiers, H. A. L., Takane, Y., and ten Berge, J. M. F. (1996). The analysis of multitrait-multimethod matrices via constrained component analysis. Psychometrika, 61, 601-628.
(p042) Takane, Y., Kiers, H. A. L., and de Leeuw, J. (1995). Component analysis with different constraints on different dimensions. Psychometrika, 60, 259-280.
(c019) Takane, Y. Oshima-Takane, Y., and Shultz, T. R. (1995). Network analysis: The case of first and second person pronouns. In the Proceedings of the 1995 IEEE International Conference on Systems, Man and Cybernetics (SMC) (pp. 3594-3599).
(c018) Shultz, T. R., Oshima-Takane, Y., and Takane, Y. (1995). Analysis of un-standardized contributions in cross connected networks. In Tesauro, G. et al. (Eds.), Advances in neural information processing systems 7, (pp. 601-608). Cambridge, MA: MIT Press.
(p041) Kiers, H. A. L., and Takane, Y. (1994). A generalization of GIPSCAL for the analysis of nonsymmetric data. Journal of Classiffication, 11, 79-99.
(c017) Takane, Y., Oshima-Takane, Y., and Shultz, T. R. (1994). Approximations of nonlinear functions by feed-forward neural networks. In the Proceedings of the Japan Classiffication Society Meeting, (pp. 26-33).
(c016) Bockenholt, U., and Takane, Y. (1994). Linear constraints in correspondence analysis. In Greenacre, M. J., and Blasius, J. (Eds.), Correspondence analysis in the social sciences: Recent developments and applications (pp. 112-127). New York: Academic Press.
(c015) van der Heijden, P. G. M., Mooijaart, A., and Takane, Y. (1994). Correspondence analysis and contingency table models. In Greenacre, M. J., and Blasius, J. (Eds.), Correspondence analysis in the social sciences: Recent developments and applications (pp. 79-111). New York: Academic Press.
(c014) Takane, Y. (1994). A review of applications of AIC in psychometrics. In Bozdogan, H., (Ed.), Proceedings of the First US/Japan Conference on the Frontiers of Statistical Modeling: An informational approach (pp. 379-403). Dortrecht: Kluver Academic Publisher.
(p040) Kiers, H. A. L., Takane, Y., and Mooijaart, A. (1993). A monotonically convergent algorithm for FACTALS. Psychometrika, 58, 567-574.
(p039) Kiers, H. A. L., and Takane, Y. (1993). Constrained DEDICOM. Psychometrika, 58, 339-355.
(p038) Yanai, H., and Takane, Y. (1992). Canonical correlation analysis with linear constraints. Linear Algebra and Its Applications, 176, 75-82.
(p037) Takane, Y. (1992). On constrained principal component analysis. Japanese Journal of Behaviormetrics, 19, 29-39 (in Japanese).
(c013) Takane, Y., and Shibayama, T. (1992). Structures in stimulus identification data. In Ashby, F. G. (Ed.), Probabilistic multidimensional models of perception and cognition (pp. 335-362). Hillsdale, NJ: Erlbaum.
(p036) Takane, Y., Yanai, H., and Mayekawa, S. (1991). Relationships among several methods of linearly constrained correspondence analysis. Psychometrika, 56, 667-684.
(p035) Takane, Y., and Shibayama, T. (1991). Principal component analysis with external information on both subjects and variables. Psychometrika, 56, 97-120.
(p034) Kiers, H. A. L., ten Berge, J. M. F., Takane, Y., and de Leeuw, J. (1990). A generalization of Takane's algorithm for DEDICOM. Psychometrika, 55, 151-158.
(c012) Takane, Y. (1990). Ideal point discriminant analysis and its applications. In Yanai, H., et al., (Eds.), Quantification in Behavioral Sciences (pp. 43-69). Tokyo: University of Tokyo Press, (in Japanese).
(p033) Takane, Y . (1989) . Ideal point discriminant analysis and ordered response categories . Behaviormetrika, 26, 31 - 46 .
(c011) Takane, Y. (1989). Ideal point discriminant analysis: Implications for multiway data analysis. In Coppi, R. et al. (Eds.) Multiway '88 (pp. 287- 299). Amsterdam: North Holland.
(c010) Takane, Y. (1989). Multidimensional scaling and the quantification methods. In Ishii, K. et al. (Eds.) Dictionary of Statistics, Tokyo: Toyo Keizai Shimposha, (in Japanese).
(p032) Takane, Y. (1987). Development of cognitive statistics and statistical expert systems. Japanese Journal of Behaviormetrics, 14, 38-40.
(p031)

Takane, Y. (1987). Analysis of contingency tables by ideal point discriminant analysis. Psychometrika, 52, 493-513. (Presidential address to the Psychometric Society).

(p030) Takane, Y., Bozdogan, H., and Shibayama, T. (1987). Ideal point discriminant analysis. Psychometrika, 52, 371-392.
(p029) Sergent, J., and Takane, Y. (1987). Structures in two-choice reaction time data. Journal of Experimental Psychology: Human Perception and Performance, 13, 300-315.
(p028) Takane, Y. (1987). Optimal linear and quadratic classifiers. Behaviormetrika, 14, 97-110.
(p027) Takane, Y. (1987). Analysis of covariance structures and probabilistic binary choice models. Communication and Cognition, 20, 45-61. (Also In De Soete, G. et al., (Eds.), New developments in psychological choice modeling (pp. 139-160). Amsterdam: North Holland, 1989.)
(p026) Takane, Y., and de Leeuw, J. (1987). On the relationship between item response theory and factor analysis of discretized variables. Psychometrika, 52, 393-408.
(c009) Takane, Y. (1986). Multiple discriminant analysis for predictor variables measured at various scale levels. In Gaul, W., and Schader, M. (Eds.), Classification as a Tool of Research (pp. 439-445). Amsterdam: Elsevier.
(c008) Takane, Y., and Shibayama, T. (1986). Comparison of models for stimulus recognition data. In J. de Leeuw, W. Heiser, J. Meulman, and F. Critchley. (Eds.), Multidimensional Data Analysis (pp. 119-148). Leiden: DSWO Press, (with discussion).
(c007) Takane, Y. (1985). Nonmetric data analysis. In Kotz, S., and Johnson, N. L. (Eds.), Encyclopedia of Statistical Sciences, Vol. 6 (pp 314-318). New York: Wiley.
(p025) Takane, Y. (1984). Multiple discriminant analysis for predictor variables measured at various scale levels. The Proceedings of the Institute of Statistical Mathematics, 32, 261-263 (in Japanese).
(c006) Takane, Y. (1984). Basic concepts and applications of multidimensional scaling. In Hirotsu, C. et al., (Eds.), Proceedings of the 1984 Annual Meeting of Japan Applied Statistical Society (pp. 30-41). Tokyo: Japan Applied Statistical Society.
(c005) Takane, Y. (1984). Multidimensional scaling, Optimal scaling, Distance, etc. (27 items altogether). In Shiba, S. et al. (Eds.), Dictionary of statistical terms. Tokyo: Shinyosha, (in Japanese).
(c004) Takane, Y. (1984). Multidimensional scaling of sorting data. In Chaubey, Y. P., and Dwivedi, T. D. (Eds.), Topics in Applied Statistics, '81 Canada Conference (pp. 659-666). Montreal: Concordia University Press.
(c003) Takane, Y. (1984). The weighted additive model. In Law, H. G. et al, (Eds.), Research methods for multimode data analysis in the behavioral sciences (pp. 470-516). New York: Praeger.
(p024) Takane, Y., and Sergent, J. (1983). Multidimensional scaling models for reaction times and same different judgments. Psychometrika, 48, 393-423.
(p023) Takane, Y. (1982). IDSORT: An individual differences multidimensional scaling for sorting data. Behavior Research Methods and Instrumentation, 14, 546.
(p022) Takane, Y. (1982). Maximum likelihood additivity analysis. Psychometrika, 47, 225-241.
(p021) Takane, Y. (1982). The method of triadic combinations: A new treatment and its applications. Behaviormetrika, 11, 37-48.
(p020) Takane, Y. (1981). MDSORT: A special purpose multidimensional scaling program for sorting data. Behavior Research Methods and Instrumentation, 13, 698, (Also in Journal of Marketing Research, 1981, 18, 480-481.)
(p019) Takane, Y., and Carroll, J. D. (1981). Nonmetric maximum likelihood multidimensional scaling from directional rankings of similarities. Psychometrika, 46, 389-405.
(p018) Takane, Y. (1981). Multidimensional successive categories scaling: A maximum likelihood method. Psychometrika, 46, 9-28.
(c002) Takane, Y. (1981). Model evaluation in multidimensional scaling. Mathematical Sciences, No. 213, (in Japanese).
(p017) Takane, Y. (1980). Maximum likelihood estimation in the generalized case of Thurstone's model of comparative judgment. Japanese Psychological Research, 22, 188-196.
(p016) Takane, Y. (1980). Analysis of categorizing behavior by a quantification method. Behaviormetrika, 8, 57-67.
(p015) Takane, Y., Young, F. W., and de Leeuw, J. (1980). An individual differences additive model: An alternating least squares method with optimal scaling features. Psychometrika, 45, 183-209.
(p014) Takane, Y., Young, F. W., and de Leeuw, J. (1979). Nonmetric common factor analysis: An alternating least squares method with optimal scaling features. Behaviormetrika, 6, 45-56.
(p013) Takane, Y. (1978). A maximum likelihood method for nonmetric multidimensional scaling: I. The case in which all empirical pairwise orderings are independent-evaluations. Japanese Psychological Research, 20, 105-114.
(p012) Takane, Y. (1978). A maximum likelihood method for nonmetric multidimensional scaling: I. The case in which all empirical pairwise orderings are independent-theory. Japanese Psychological Research, 20, 7-17.
(p011) Young, F. W., Takane, Y., and Lewyckyj, R. (1978). ALSCAL: A nonmetric multidimensional scaling program with several individual difference options. Behavior Research Methods and Instrumentation, 10, 451-453. (Also, in Journal of Marketing Research, 1978, 15, 612-615 and in American Statistician, 1980, 34, 117-118).
(c001) Young, F. W., de Leeuw, J., and Takane, Y. (1980). Quantifying qualitative data. In Lantermann, E. D., and Feger, H. (Eds.) Similarity and choice (pp. 150-179). Bern: Hans Huber.
(p010) Young, F. W., Takane, Y., and Lewyckyj, R. (1978). Three notes on ALSCAL. Psychometrika, 43, 433-435.
(p009) Young, F. W., Takane, Y., and de Leeuw, J. (1978). Principal components of mixed measurement level multivariate data: An alternating least squares method with optimal scaling features. Psychometrika, 43, 279-281.
(p008) Takane, Y. (1977). On the relations among four methods of multidimensional scaling. Behaviormetrika, 9, 29-43.
(p007) Takane, Y., Young, F. W., and de Leeuw, J. (1977). Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features. Psychometrika, 42, 8-67.
(p006) Young, F. W., de Leeuw, J., and Takane, Y. (1976). Regression with qualitative and quantitative variables: An alternating least squares method with optimal scaling features. Psychometrika, 41, 505-529.
(p005) de Leeuw, J., Young, F. W., and Takane, Y. (1976). Additive structure in qualitative data: An alternating least squares method with optimal scaling features. Psychometrika, 41, 471-504.
(p004) Takane, Y. (1976). A statistical procedure for the latent profile model. Japanese Psychological Research, 18, 82-90
(p003) Takane, Y., and Cramer, E. M. (1975). Regions of significance in multiple regression analysis. Multivariate Behavioral Research, 10, 373-383.
(p002) Takane, Y. (1972). Estimation of the recruitment latent classes by least squares methods. Japanese Psychological Research, 14, 87-102.
(p001)

Hidano, T., Yanai, H., Nushi, A., Shigemasu, K., and Takane, Y. (1971). A methodological study of test battery construction. Japanese Journal of Educational Psychology, 19, 37-51 (in Japanese).

4 . Book Reviews

(b008) Nishisato, S. (1994). Elements of dual scaling: An introduction to practical data analysis. Hillsdale: NJ: Erlbaum. (Reviewed for Applied Psychological Measurement, 18, 379-382.)
(b007) ten Berge, J. M. F. (1993). Least squares optimization in multivariate analysis. Leiden: The Netherlands: DSWO Press. (Reviewed for Psychometrika, 60, 447-448.)
(b006) Gifi, A. (1990). Nonlinear multivariate analysis. (Reviewed for Journal of the American Statistical Association, 87, 587-588.)
(b005) Gale, W. A. (Ed.) (1988). Artificial Intelligence and Statistics. Reading, MA: Addison-Wesley. (Statistics: art or craft? Reviewed for the Journal of Mathematical Psychology, 32, 205-207.)
(b004) Sakamoto, Y., Ishiguro, M., and Kitagawa, G. (1983). Information statistics. Tokyo: Kyoritsu Shuppan, 1983. (Reviewed for Japanese Journal of Behaviormetrics, 11, 79-80, in Japanese.)
(b003) Lodge, M. (1983). Magnitude scaling: Quantitative measurements of opinions. Beverly Hills, CA: Sage Publications, 1981, and McIver, J. P., and Carmines, E. G. (1981). Unidimensional scaling. Beverly Hills, CA: Sage Publications, 1981. (Reviewed for Applied Psychological Measurement, 7, 111-112.)
(b002) Nishisato, S. (1982). Analysis of categorical data: Dual scaling and its applications. Toronto: University of Toronto Press, 1980. (Reviewed for the Canadian Journal of Statistics, 10, 67-68.)
(b001) Beck, J. V., and Arnold, K. J. (1978). Parameter estimation in engineering and science. New York: John Wiley, 1977. (Reviewed for Psychometrika, 43, 457-458.)

 

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