Professor Haruo Yanai and multivariate analysis
Special Matrices (2016)
- Volume: 4, Issue: 1, page 283-295
- ISSN: 2300-7451
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topYoshio Takane. "Professor Haruo Yanai and multivariate analysis." Special Matrices 4.1 (2016): 283-295. <http://eudml.org/doc/285441>.
@article{YoshioTakane2016,
abstract = {The late Professor Yanai has contributed to many fields ranging from aptitude diagnostics, epidemiology, and nursing to psychometrics and statistics. This paper reviews some of his accomplishments in multivariate analysis through his collaborative work with the present author, along with some untold episodes for the inception of key ideas underlying the work. The various topics covered include constrained principal component analysis, extensions of Khatri’s lemma, theWedderburn-Guttman theorem, ridge operators, generalized constrained canonical correlation analysis, and causal inference. A common thread running through all of them is projectors and singular value decomposition, which are the main subject matters of a recent monograph by Yanai, Takeuchi, and Takane [60].},
author = {Yoshio Takane},
journal = {Special Matrices},
keywords = {Projectors; Singular value decomposition; Khatri’s lemma; The Wedderburn-Guttman theorem; Ridge operators; projectors; singular value decomposition; Khatri's lemma; the Wedderburn-Guttman theorem; ridge operators},
language = {eng},
number = {1},
pages = {283-295},
title = {Professor Haruo Yanai and multivariate analysis},
url = {http://eudml.org/doc/285441},
volume = {4},
year = {2016},
}
TY - JOUR
AU - Yoshio Takane
TI - Professor Haruo Yanai and multivariate analysis
JO - Special Matrices
PY - 2016
VL - 4
IS - 1
SP - 283
EP - 295
AB - The late Professor Yanai has contributed to many fields ranging from aptitude diagnostics, epidemiology, and nursing to psychometrics and statistics. This paper reviews some of his accomplishments in multivariate analysis through his collaborative work with the present author, along with some untold episodes for the inception of key ideas underlying the work. The various topics covered include constrained principal component analysis, extensions of Khatri’s lemma, theWedderburn-Guttman theorem, ridge operators, generalized constrained canonical correlation analysis, and causal inference. A common thread running through all of them is projectors and singular value decomposition, which are the main subject matters of a recent monograph by Yanai, Takeuchi, and Takane [60].
LA - eng
KW - Projectors; Singular value decomposition; Khatri’s lemma; The Wedderburn-Guttman theorem; Ridge operators; projectors; singular value decomposition; Khatri's lemma; the Wedderburn-Guttman theorem; ridge operators
UR - http://eudml.org/doc/285441
ER -
References
top- [1] U. Böckenholt, I. Böckenholt, Canonical analysis of contingency tables with linear constraints, Psychometrika, 55 (1990), 633–639. [Crossref]
- [2] M. T. Chu, R. E. Funderlic, G. H. Golub, A rank-one reduction formula and its applications to matrix factorizations, SIAM Review, 37 (1995), 512–530. [Crossref] Zbl0844.65033
- [3] R. E. Cline, R. E. Funderlic, The rank of a difference of matrices and associated generalized inverses, Linear Algebra Appl., 24 (1979), 185–215. [Crossref] Zbl0393.15005
- [4] W. G. Cochran, The distribution of quadratic forms in a normal system with applications to analysis of covariance, Proc. Camb. Phil. Soc., 30 (1934), 178–191. [Crossref] Zbl0009.12004
- [5] A. Galantai, A note on generalized rank reduction, Act. Math. Hung., 116 (2007), 239–246. [Crossref] Zbl1135.15300
- [6] L. Guttman, General theory and methods for matric factoring, Psychometrika, 9 (1944), 1–16. [Crossref] Zbl0060.31212
- [7] L. Guttman, A necessary and sufficient formula for matric factoring, Psychometrika, 22 (1957), 79–81. [Crossref] Zbl0080.13202
- [8] F. R. Helmert, Adjustment Computations by the Method of Least Squares (in German), 2nd Edition (Teubnei, Leipzig, 1907).
- [9] A. E. Hoerl, R. W. Kennard, Ridge regression: Biased estimation for nonorthogonal problems, Technometrics, 12 (1970), 55–67. [Crossref] Zbl0202.17205
- [10] L. Hubert, J. Meulman, W. J. Heiser, Two purposes of matrix factorization: A historical appraisal, SIAM Review, 42 (2000), 68–82. [Crossref] Zbl0999.65014
- [11] H. Hwang, Y. Takane, Generalized Structured Component Analysis: A Component-Based Approach to Structural Equation Modeling (Chapman and Hall/CRC Press, Boca Raton, FL., 2014). Zbl1341.62033
- [12] C. G. Khatri, A simplified approach to the derivation of the theorems on the rank of a matrix, J. of the Maharaja Sayajirao University of Baroda 10 (1961), 1–5.
- [13] C. G. Khatri, A note on a MANOVA model applied to problems in growth curve, Ann. I. Stat. Math., 18 (1966), 75–86. Zbl0136.40704
- [14] C. G. Khatri, Some properties of BLUE in a linear model and canonical correlations associated with linear transformations, J. Multivariate Anal., 34 (1990), 211–226. [Crossref] Zbl0731.62116
- [15] L. R. LaMotte, A direct derivation of the REML likelihood function, Stat. Pap., 48 (2007), 321–327. [Crossref] Zbl1110.62078
- [16] R. J. Light, B. H. Margolin, An analysis of variance of categorical data, J. Am. Stat. Assoc., 66 (1971), 534–544. [Crossref] Zbl0222.62035
- [17] S. Loisel, Y. Takane, Partitions of Pearson’s chi-square statistic for frequency tables: A comprehensive account, Computation. Stat., in press. Zbl1348.65034
- [18] T. Ogasawara, M. Takahashi, Indepedence of quadratic forms in normal system, J. Sci. Hiroshima University, 15 (1951), 1–9. Zbl0045.41102
- [19] K. Pearson, On the criterion that a given system of deviation from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling, Philos. Mag., 50 (1900), 157–172. Zbl31.0238.04
- [20] R. F. Potthoff, S. N. Roy, A generalized multivariate analysis of variance model useful for growth curve problem, Biometrika, 51 (1964), 313–326. [Crossref] Zbl0138.14306
- [21] S. Puntanen, G. P. H. Styan, J. Isotalo, Matrix Tricks for Linear Statistical Models (Springer, Berlin, 2011). Zbl1291.62014
- [22] J. O. Ramsay, B. M. Silverman, Functional Data Analysis, Second Edition (Springer, New York, 2005). Zbl1079.62006
- [23] C. R. Rao, Linear Statistical Inference and Its Applications, Second Edition (Wiley, New York, 1973). Zbl0256.62002
- [24] C. R. Rao, S. K. Mitra, Generalized Inverse of Matrices amd Its Applications (Wiley, New York, 1971). Zbl0236.15004
- [25] C. R. Rao, H. Yanai, General definition and decomposition of projectors and some applications to statistical problems, J. Stat. Plan. Infer., 3 (1979), 1–17. [Crossref] Zbl0427.62046
- [26] B. Schaffrin, Personal communication (2015).
- [27] G. F. A. Seber, Multivariate Observations (Wiley, New York, 1984.) Zbl0627.62052
- [28] A. Shapiro, Asymptotic theory of overparameterized structural models, J. Am. Stat. Assoc., 81 (1986), 142–149. [Crossref] Zbl0596.62069
- [29] Y. Takane, Relationships among various kinds of eigenvalue and singular value decompositions, In: H. Yanai, A. Okada, K. Shigemasu, Y. Kano, and J. Meulman (Eds.), New Developments in Psychometrics (Springer, Tokyo, 2003), 45–56.
- [30] Y. Takane, More on regularization and (generalized) ridge operators, In: K. Shigemasu, A. Okada, T. Imaizumi, T. Hoshino (Eds.), New Trends in Psychometrics (University Academic Press, Tokyo, 2008) 443–452.
- [31] Y. Takane, Constrained Principal Component Analysis and Related Techniques (Chapman and Hall/CRC Press, Boca Raton, FL, 2013).
- [32] Y. Takane, M. A. Hunter, Constrained principal component analysis: A comprehensive theory, Appl. Algebr. Eng. Comm., 12 (2001), 391–419. [Crossref] Zbl1040.62050
- [33] Y. Takane, M. A. Hunter, New family of constrained principal component analysis (CPCA), Linear Algebra Appl., 434 (2011), 2539–2555. Zbl1214.62070
- [34] Y. Takane, H. Hwang, Generalized constrained canonical correlation analysis, Multivar. Behav. Res., 37 (2002), 163–195. [Crossref]
- [35] Y. Takane, H. Hwang, Regularized multiple correspondence analysis. In: J. Blasius, M. J. Greenacre (Eds.), Multiple correspondence analysis and related methods (Chapman and Hall, London, 2006) 259–279. Zbl1277.62161
- [36] Y. Takane, S. Jung, Regularized partial and/or constrained redundancy analysis, Psychometrika, 73 (2008), 671–690. [Crossref] Zbl1284.62751
- [37] Y. Takane, S. Jung, Regularized nonsymmetric correspondence analysis, Comput. Stat. Data An., 53 (2009), 3159–3170. [Crossref] Zbl05689078
- [38] Y. Takane, S. Jung, Tests of ignoring and eliminating in nonsymmetric correspondence analysis, Adv. Data Anal. Classif., 3 (2009), 315–340. [Crossref] Zbl1306.62136
- [39] Y. Takane, T. Shibayama, Principal component analysis with external information on both subjects and variables, Psyhometrika, 56 (1991), 97–120. [Crossref] Zbl0725.62055
- [40] Y. Takane, H. Yanai, On oblique projectors, Linear Algebra Appl., 289 (1999), 297–310. Zbl0930.15003
- [41] Y. Takane, H. Yanai, On the Wedderburn-Guttman theorem, Linear Algebra Appl. 410 (2005), 267–278. Zbl1111.15001
- [42] Y. Takane, H. Yanai, On ridge operators, Linear Algebra Appl., 428 (2008), 1778–1790. Zbl1132.62052
- [43] Y. Takane, L. Zhou, On two expressions of the MLE for a special case of the extended growth curve models, Linear Algebra Appl., 436 (2012), 2567–2577. Zbl1236.15002
- [44] Y. Takane, L. Zhou, Anatomy of Pearson’s chi-square statistic in three-way contingency tables, In: R. E. Millsap, L. A. van der Ark, D. M. Bolt, C. M. Woods (Eds.), New Developments in Quantitative Psychology (Springer, New York, 2013), 41–57.
- [45] Y. Takane, H. Hwang, H. Abdi, Regularized multiple-set canonical correlation analysis, Psychometrika, 73 (2008), 753–775. [Crossref] Zbl1284.62750
- [46] Y. Takane, K. Jung, H. Hwang, Regularized growth curve models, Comput. Stat. Data An., 55 (2011), 1041–1052. [Crossref] Zbl1284.62448
- [47] Y. Takane, H. A. L. Kiers, J. de Leeuw, Component analysiswith different constraints on different dimensions, Psychometrika, 60 (1995), 259–280. [Crossref]
- [48] Y. Takane, H. Yanai, H. Hwang, An improved method for generalized constrained canonical correlation analysis, Comp. Stat. Data An., 50 (2006), 221–241. Zbl05381567
- [49] Y. Takane, H. Yanai, S. Mayekawa, Relationships among several methods of linearly constrained correspondence analysis, Psychometrika, 56 (1991), 667–684. [Crossref] Zbl0760.62057
- [50] K. Takeuchi, H. Yanai, B. N.Mukherjee, The Foundation ofMultivariate Analysis (Wiley Eastern, New Delhi, and Halsted Press, New York, 1982).
- [51] C. J. F. ter Braak, Canonical correspondence analysis: A new eigenvector technique for multivariate direct gradient analysis, Ecology, 67 (1986), 1167–1179.
- [52] Y. Tian, The Moore-Penrose inverses of m× n blockmatrices and their applications, Linear Algebra Appl., 283 (1998), 35–60. Zbl0932.15004
- [53] Y. Tian, Upper and lower bounds for ranks ofmatrix expressions using generalized inverses, Linear Algebra Appl., 355 (2002), 187–214. Zbl1016.15003
- [54] Y. Tian, G. P. H. Styan,Onsomematrix equalities for generalized inverseswith applications, Linear Algebra Appl., 430 (2009), 2716–2733. Zbl1165.15006
- [55] A. P. Verbyla, A conditional derivation of residual maximum likelihood, Aust. J. Stat., 32 (1990), 227–230. [Crossref]
- [56] J. H. M. Wedderburn, Lectures on Matrices, Colloquium Publication, Vol. 17 (American Mathematical Society, Providence, 1934).
- [57] H. Yanai, Factor analysis with external criteria, Jpn. Psychol. Res., 12 (1970), 143–153.
- [58] H. Yanai, Some generalized forms of least squares g-inverse, minimumnorm g-inverse and Moore-Penrose inversematrices, Comput. Stat. Data An., 10 (1990), 251–260. [Crossref] Zbl0825.62550
- [59] H. Yanai, Y. Takane, Canonical correlation analysis with linear constraints, Linear Algebra Appl., 176 (1992), 75–82.
- [60] H. Yanai, K. Takeuchi, Y. Takane, Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition (Springer, New York, 2011). Zbl1279.15003
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