Journal of Multivariate Analysis
1971 - 2025
Current editor(s): de Leeuw, J. From Elsevier Bibliographic data for series maintained by Catherine Liu (). Access Statistics for this journal.
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Volume 97, issue 10, 2006
- Optimizing random scan Gibbs samplers pp. 2071-2100

- Richard A. Levine and George Casella
- Estimation of the memory parameter by fitting fractionally differenced autoregressive models pp. 2101-2130

- R.J. Bhansali, Liudas Giraitis and P.S. Kokoszka
- Some statistical applications of Faa di Bruno pp. 2131-2140

- Thomas H. Savits
- Linearly interpolated FDH efficiency score for nonconvex frontiers pp. 2141-2161

- Seok-Oh Jeong and Leopold Simar
- Two-sample inference for normal mean vectors based on monotone missing data pp. 2162-2176

- Jianqi Yu, K. Krishnamoorthy and Maruthy K. Pannala
- Generating random correlation matrices based on partial correlations pp. 2177-2189

- Harry Joe
- The Spectral Decomposition of Covariance Matrices for the Variance Components Models pp. 2190-2205

- Shi Jian-Hong and Wang Song-Gui
- A Chernoff-Savage result for shape:On the non-admissibility of pseudo-Gaussian methods pp. 2206-2220

- Davy Paindaveine
- Application of modified information criterion to multiple change point problems pp. 2221-2241

- Jianmin Pan and Jiahua Chen
- Estimation of covariance matrices in fixed and mixed effects linear models pp. 2242-2261

- Tatsuya Kubokawa and Ming-Tien Tsai
Volume 97, issue 9, 2006
- Contributions to multivariate analysis by Professor Yasunori Fujikoshi pp. 1914-1926

- Minoru Siotani and Hirofumi Wakaki
- Multivariate analysis of variance with fewer observations than the dimension pp. 1927-1940

- Muni S. Srivastava and Yasunori Fujikoshi
- Error bounds for asymptotic expansions of Wilks' lambda distribution pp. 1941-1957

- Yasunori Fujikoshi and Vladimir V. Ulyanov
- Edgeworth expansion of Wilks' lambda statistic pp. 1958-1964

- Hirofumi Wakaki
- Bias correction of cross-validation criterion based on Kullback-Leibler information under a general condition pp. 1965-1975

- Hirokazu Yanagihara, Tetsuji Tonda and Chieko Matsumoto
- On simultaneous confidence intervals for all contrasts in the means of the intraclass correlation model with missing data pp. 1976-1983

- Takashi Seo, Jun Kikuchi and Kazuyuki Koizumi
- James-Stein estimators for time series regression models pp. 1984-1996

- Motohiro Senda and Masanobu Taniguchi
- Image classification based on Markov random field models with Jeffreys divergence pp. 1997-2008

- Ryuei Nishii and Shinto Eguchi
- Non-parametric kernel regression for multinomial data pp. 2009-2022

- Hidenori Okumura and Kanta Naito
- Nonlinear regression modeling via regularized wavelets and smoothing parameter selection pp. 2023-2033

- Toru Fujii and Sadanori Konishi
- Interpreting Kullback-Leibler divergence with the Neyman-Pearson lemma pp. 2034-2040

- Shinto Eguchi and John Copas
- Non-uniform bounds for short asymptotic expansions in the CLT for balls in a Hilbert space pp. 2041-2056

- S.A. Bogatyrev, F. Götze and V.V. Ulyanov
- Minimum distance classification rules for high dimensional data pp. 2057-2070

- Muni S. Srivastava
Volume 97, issue 8, 2006
- Power of edge exclusion tests for graphical log-linear models pp. 1691-1701

- M. Fátima Salgueiro, Peter W.F. Smith and John W. McDonald
- Estimating the support of multivariate densities under measurement error pp. 1702-1717

- Alexander Meister
- Unbiased invariant minimum norm estimation in generalized growth curve model pp. 1718-1741

- Xiaoyong Wu, Guohua Zou and Jianwei Chen
- A multivariate nonparametric test of independence pp. 1742-1756

- Nail K. Bakirov, Maria L. Rizzo and Gábor J. Szekely
- Choosing joint distributions so that the variance of the sum is small pp. 1757-1765

- Martin Knott and Cyril Smith
- On location estimation for LARCH processes pp. 1766-1782

- Jan Beran
- Local influence analysis of multivariate probit latent variable models pp. 1783-1798

- Bin Lu and Xin-Yuan Song
- Prediction of Euclidean distances with discrete and continuous outcomes pp. 1799-1814

- F. Mortier, S. Robin, S. Lassalvy, C.P. Baril and A. Bar-Hen
- A class of proper priors for Bayesian simultaneous prediction of independent Poisson observables pp. 1815-1828

- Fumiyasu Komaki
- The distribution of the residual from a general elliptical multivariate linear model pp. 1829-1841

- José A. Díaz-García and Ramón Gutiérrez-Jáimez
- On the prediction of vector-valued random fields and the spectral distribution of their evanescent component pp. 1842-1869

- Christophe Cuny
- Methods for tracking support boundaries with corners pp. 1870-1893

- Ming-Yen Cheng and Peter Hall
- A unified approach to testing for and against a set of linear inequality constraints in the product multinomial setting pp. 1894-1912

- Hammou El Barmi and Matthew Johnson
Volume 97, issue 7, 2006
- On improved estimation of normal precision matrix and discriminant coefficients pp. 1477-1500

- Hisayuki Tsukuma and Yoshihiko Konno
- Simple and efficient improvements of multivariate local linear regression pp. 1501-1524

- Ming-Yen Cheng and Liang Peng
- Robust Gaussian graphical modeling pp. 1525-1550

- Masashi Miyamura and Yutaka Kano
- Characterization of dependence of multidimensional Lévy processes using Lévy copulas pp. 1551-1572

- Jan Kallsen and Peter Tankov
- A matrix-valued Bernoulli distribution pp. 1573-1585

- Gianfranco Lovison
- Empirical likelihood inference for linear transformation models pp. 1586-1599

- Wenbin Lu and Yu Liang
- Robust estimation for the multivariate linear model based on a [tau]-scale pp. 1600-1622

- Marta García Ben, Elena Martínez and Víctor J. Yohai
- An indexed multivariate dispersion ordering based on the Hausdorff distance pp. 1623-1637

- Miguel López-Díaz
- Maximum likelihood estimation for all-pass time series models pp. 1638-1659

- Beth Andrews, Richard A. Davis and F. Jay Breidt
- Robust estimation of Cronbach's alpha pp. 1660-1674

- A. Christmann and S. Van Aelst
- Sample mean, covariance and T2 statistic of the skew elliptical model pp. 1675-1690

- B.Q. Fang
Volume 97, issue 6, 2006
- The covariance structure and likelihood function for multivariate dyadic data pp. 1263-1271

- Heng Li
- Maximum entropy characterizations of the multivariate Liouville distributions pp. 1272-1283

- Bhaskar Bhattacharya
- State space models on special manifolds pp. 1284-1294

- Yasuko Chikuse
- Empirical likelihood for single-index models pp. 1295-1312

- Liu-Gen Xue and Lixing Zhu
- PLS regression: A directional signal-to-noise ratio approach pp. 1313-1329

- Pierre Druilhet and Alain Mom
- Testing marginal homogeneity against stochastically ordered marginals for rxr contingency tables pp. 1330-1341

- Wei Gao and Satoshi Kuriki
- Negative dependence in the balls and bins experiment with applications to order statistics pp. 1342-1354

- Taizhong Hu and Chaode Xie
- On the unlinking conjecture of independent polynomial functions pp. 1355-1360

- Subir Kumar Bhandari and Ayanendranath Basu
- Estimation of intrinsic processes affected by additive fractal noise pp. 1361-1381

- Rosaura Fernández-Pascual, María D. Ruiz-Medina and José M. Angulo
- Eigenvalues of large sample covariance matrices of spiked population models pp. 1382-1408

- Jinho Baik and Jack W. Silverstein
- An estimation method for the Neyman chi-square divergence with application to test of hypotheses pp. 1409-1436

- M. Broniatowski and Samantha Leorato
- Optimum two level fractional factorial plans for model identification and discrimination pp. 1437-1450

- Subir Ghosh and Ying Tian
- Asymptotic Bayesian structure learning using graph supports for Gaussian graphical models pp. 1451-1466

- Guillaume Marrelec and Habib Benali
- Duality between matrix variate t and matrix variate V.G. distributions pp. 1467-1475

- Solomon W. Harrar, Eugene Seneta and Arjun K. Gupta
Volume 97, issue 5, 2006
- A likelihood ratio test for separability of covariances pp. 1025-1043

- Matthew W. Mitchell, Marc G. Genton and Marcia L. Gumpertz
- Limit distributions of least squares estimators in linear regression models with vague concepts pp. 1044-1069

- Volker Krätschmer
- Corrected version of AIC for selecting multivariate normal linear regression models in a general nonnormal case pp. 1070-1089

- Hirokazu Yanagihara
- Modified Whittle estimation of multilateral models on a lattice pp. 1090-1120

- P.M. Robinson and J. Vidal Sanz
- Asymptotic robustness of standard errors in multilevel structural equation models pp. 1121-1141

- Ke-Hai Yuan and Peter M. Bentler
- Nonparametric regression function estimation with surrogate data and validation sampling pp. 1142-1161

- Qihua Wang
- Semi-parametric estimation of partially linear single-index models pp. 1162-1184

- Yingcun Xia and Wolfgang Härdle
- Bayesian modeling of several covariance matrices and some results on propriety of the posterior for linear regression with correlated and/or heterogeneous errors pp. 1185-1207

- Michael J. Daniels
- Preserving multivariate dispersion: An application to the Wishart distribution pp. 1208-1220

- J.M. Fernández-Ponce and R. Rodríguez-Griñolo
- Parameter estimation under ambiguity and contamination with the spurious model pp. 1221-1250

- María Teresa Gallegos and Gunter Ritter
- Total positivity order and the normal distribution pp. 1251-1261

- Yosef Rinott and Marco Scarsini
Volume 97, issue 4, 2006
- Progressive Type II censored order statistics for multivariate observations pp. 797-809

- Ismihan Bairamov
- Influence functions for a general class of depth-based generalized quantile functions pp. 810-826

- Jin Wang and Robert Serfling
- A high-dimensional test for the equality of the smallest eigenvalues of a covariance matrix pp. 827-843

- James R. Schott
- Statistical inference in a panel data semiparametric regression model with serially correlated errors pp. 844-873

- Jinhong You and Xian Zhou
- Non-white Wishart ensembles pp. 874-894

- S. Péché
- The hyper-Dirichlet process and its discrete approximations: The butterfly model pp. 895-924

- C. Asci, G. Nappo and M. Piccioni
- Who's afraid of reduced-rank parameterizations of multivariate models? Theory and example pp. 925-945

- Scott Gilbert and Petr Zemcik
- Consistent variable selection in large panels when factors are observable pp. 946-984

- Rachida Ouysse
- Gauss inequalities on ordered linear spaces pp. 985-998

- D.R. Jensen
- Kernel estimation of density level sets pp. 999-1023

- Cadre, BenoI^t
Volume 97, issue 3, 2006
- New insights into best linear unbiased estimation and the optimality of least-squares pp. 575-585

- Mario Faliva and Maria Zoia
- Asymptotic results on a class of adaptive multi-treatment designs pp. 586-605

- Zhang Li-Xin
- Special variance structures in the growth curve model pp. 606-618

- Ivan Zezula
- Restricted expected multivariate least squares pp. 619-632

- Kai-Tai Fang, Song-Gui Wang and Dietrich von Rosen
- Strong consistency of least-squares estimation in linear regression models with vague concepts pp. 633-654

- Volker Krätschmer
- A trivariate chi-squared distribution derived from the complex Wishart distribution pp. 655-674

- Marcus Hagedorn, P.J. Smith, P.J. Bones, R.P. Millane and D. Pairman
- Analysis of two-sample truncated data using generalized logistic models pp. 675-697

- Gang Li and Jing Qin
- Estimation of multivariate normal covariance and precision matrices in a star-shape model with missing data pp. 698-719

- Dongchu Sun and Xiaoqian Sun
- Consistency of the generalized MLE of a joint distribution function with multivariate interval-censored data pp. 720-732

- Shaohua Yu, Qiqing Yu and George Y.C. Wong
- Selecting mixed-effects models based on a generalized information criterion pp. 733-758

- Wenji Pu and Xu-Feng Niu
- Best affine unbiased representations of the fully restricted general Gauss-Markov model pp. 759-764

- Harry Haupt and Walter Oberhofer
- Measuring stochastic dependence using [phi]-divergence pp. 765-784

- Athanasios C. Micheas and Konstantinos Zografos
- The matrix-t distribution and its applications in predictive inference pp. 785-795

- B.M. Golam Kibria
Volume 97, issue 2, 2006
- Sequences of elliptical distributions and mixtures of normal distributions pp. 295-310

- E. Gómez-Sánchez-Manzano, M.A. Gómez-Villegas and J.M. Marín
- Rates of convergence for partitioning and nearest neighbor regression estimates with unbounded data pp. 311-323

- Michael Kohler, Adam Krzyzak and Harro Walk
- Estimation of a semiparametric varying-coefficient partially linear errors-in-variables model pp. 324-341

- Jinhong You and Gemai Chen
- On the ratio X/Y for some elliptically symmetric distributions pp. 342-358

- Saralees Nadarajah
- Influence functions and efficiencies of the canonical correlation and vector estimates based on scatter and shape matrices pp. 359-384

- Sara Taskinen, Christophe Croux, Annaliisa Kankainen, Esa Ollila and Hannu Oja
- Conditional independence models for seemingly unrelated regressions with incomplete data pp. 385-411

- Mathias Drton, Steen A. Andersson and Michael D. Perlman
- A statistical model for random rotations pp. 412-430

- Carlos A. León, Jean-Claude Massé and Louis-Paul Rivest
- Estimation of two ordered bivariate mean residual life functions pp. 431-454

- Javier Rojo and Musie Ghebremichael
- Bias of the structural quasi-score estimator of a measurement error model under misspecification of the regressor distribution pp. 455-473

- Hans Schneeweiss and Chi-Lun Cheng
- The likelihood ratio test for homogeneity in bivariate normal mixtures pp. 474-491

- Yong Song Qin and Bruce Smith
- An asymptotic expansion of the distribution of Rao's U-statistic under a general condition pp. 492-513

- Arjun K. Gupta, Jin Xu and Yasunori Fujikoshi
- Estimation of location parameters for spherically symmetric distributions pp. 514-525

- Jian-Lun Xu and Grant Izmirlian
- Bounds for functions of multivariate risks pp. 526-547

- Paul Embrechts and Giovanni Puccetti
- Nonlinear least-squares estimation pp. 548-562

- David Pollard and Peter Radchenko
- Asymptotic properties of Bayes estimators for Gaussian Itô-processes with noisy observations pp. 563-573

- T. Deck
Volume 97, issue 1, 2006
- Spatial design matrices and associated quadratic forms: structure and properties pp. 1-18

- Grant Hillier and Federico Martellosio
- Asymptotics for estimation and testing procedures under loss of identifiability pp. 19-45

- Hongtu Zhu and Heping Zhang
- Some positive dependence stochastic orders pp. 46-78

- Antonio Colangelo, Marco Scarsini and Moshe Shaked
- Latent models for cross-covariance pp. 79-102

- Jacob A. Wegelin, Asa Packer and Thomas S. Richardson
- The Matsumoto-Yor property and the structure of the Wishart distribution pp. 103-123

- Hélène Massam and Jacek Wesolowski
- General projection-pursuit estimators for the common principal components model: influence functions and Monte Carlo study pp. 124-147

- Graciela Boente, Ana M. Pires and Isabel M. Rodrigues
- Asymptotics for testing hypothesis in some multivariate variance components model under non-normality pp. 148-178

- Arjun K. Gupta, Solomon W. Harrar and Yasunori Fujikoshi
- Bayesian inference in spherical linear models: robustness and conjugate analysis pp. 179-197

- R.B. Arellano-Valle, G. del Pino and P. Iglesias
- Minimax and maximin efficient designs for estimating the location-shift parameter of parallel models with dual responses pp. 198-210

- Mong-Na Lo Huang and Chun-Sui Lin
- Prospective and retrospective analyses under logistic regression models pp. 211-230

- Biao Zhang
- Adaptation under probabilistic error for estimating linear functionals pp. 231-245

- T. Tony Cai and Mark G. Low
- Bayesian multivariate spatial models for roadway traffic crash mapping pp. 246-273

- J.J. Song, M. Ghosh, S. Miaou and B. Mallick
- Local efficiency of a Cramer-von Mises test of independence pp. 274-294

- Christian Genest, Jean-François Quessy and Bruno Remillard
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