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primary 59 Copula 15 Asymptotic normality 14 Variable selection 14 Bootstrap 12 Order statistics 11 Consistency 10 Covariance matrix 10 Dimension reduction 10 Longitudinal data 10 Nonparametric regression 10 asymptotic normality 10 EM algorithm 9 Empirical likelihood 9 Oracle property 9 Robust estimation 9 Hypothesis testing 8 Kernel smoothing 8 Nonparametric estimation 8 Elliptical distribution 7 Elliptically contoured distribution 7 Empirical Bayes 7 High-dimensional data 7 Multivariate normal distribution 7 Sufficient dimension reduction 7 Central limit theorem 6 Linear mixed model 6 Model selection 6 Principal component analysis 6 SCAD 6 Sliced inverse regression 6 U-statistic 6 Dirichlet distribution 5 Discriminant analysis 5 Estimating equations 5 Heteroscedasticity 5 Majorization 5 Markov chain Monte Carlo 5 Maximum likelihood estimator 5 Missing at random 5
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Undetermined 3,562
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Article 3,562
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Hall, Peter 26 Fujikoshi, Yasunori 24 Balakrishnan, N. 23 Kubokawa, Tatsuya 20 Khatri, C. G. 19 Krishnaiah, P. R. 19 Sen, Pranab Kumar 19 Takemura, Akimichi 18 Bai, Z. D. 17 Horváth, Lajos 16 Srivastava, M. S. 16 Strawderman, William E. 16 Wang, Qihua 16 Puri, Madan L. 15 Rao, C. Radhakrishna 15 Srivastava, Muni S. 15 Zhu, Lixing 15 Ghosh, Malay 13 Gupta, Arjun K. 13 Joe, Harry 13 Zhu, Li-Xing 12 Hu, Taizhong 11 Nadarajah, Saralees 11 Richards, Donald St. P. 11 Shaked, Moshe 11 Tsai, Ming-Tien 11 You, Jinhong 11 Arellano-Valle, Reinaldo B. 10 Boente, Graciela 10 Fourdrinier, Dominique 10 Genton, Marc G. 10 Lian, Heng 10 Scarsini, Marco 10 Díaz-García, José A. 9 Kariya, Takeaki 9 Mathew, Thomas 9 Peng, Liang 9 Silverstein, Jack W. 9 von Rosen, Dietrich 9 Chikuse, Yasuko 8
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Journal of Multivariate Analysis 3,562
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RePEc 3,562
Showing 3,451 - 3,460 of 3,562
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On improved estimators of the generalized variance
Sinha, Bimal Kumar - In: Journal of Multivariate Analysis 6 (1976) 4, pp. 617-625
Treated in this paper is the problem of estimating with squared error loss the generalized variance [Sigma] from a Wishart random matrix S: p - p ~ Wp(n, [Sigma]) and an independent normal random matrix X: p - k ~ N([xi], [Sigma] [circle times operator] Ik) with [xi](p - k) unknown. Denote the...
Persistent link: https://www.econbiz.de/10005153299
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Stochastic evolution equations and related measure processes
Dawson, D. A. - In: Journal of Multivariate Analysis 5 (1975) 1, pp. 1-52
Basic results on stochastic differential equations in Hilbert and Banach space, linear stochastic evolution equations and some classes of nonlinear stochastic evolution equations are reviewed. The emphasis is on equations relevant to the study of spacetime stochastic processes. In particular the...
Persistent link: https://www.econbiz.de/10005160320
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Representations of best linear unbiased estimators in the Gauss-Markoff model with a singular dispersion matrix
Rao, C. Radhakrishna - In: Journal of Multivariate Analysis 3 (1973) 3, pp. 276-292
In the general Gauss-Markoff model (Y, X[beta], [sigma]2V), when V is singular, there exist linear functions of Y which vanish with probability 1 imposing some restrictions on Y as well as on the unknown [beta]. In all earlier work on linear estimation, representations of best-linear unbiased...
Persistent link: https://www.econbiz.de/10005160354
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The asymptotic equivalence of Bayes and maximum likelihood estimation
Strasser, Helmut - In: Journal of Multivariate Analysis 5 (1975) 2, pp. 206-226
Let (X, ) be a measurable space, [Theta] [subset, double equals] an open interval and P[Omega] [short parallel] , [Omega] [epsilon] [Theta], a family of probability measures fulfilling certain regularity conditions. Let [Omega]n be the maximum likelihood estimate for the sample size n. Let...
Persistent link: https://www.econbiz.de/10005160372
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A direct proof of Yu. A. Rozanov's factorization theorem from the method of D. Lowdenslager
Mandrekar, V. - In: Journal of Multivariate Analysis 3 (1973) 1, pp. 137-140
A direct proof of a recent factorization theorem of Rozanov is given using the comparison theorem of D. Lowdenslager.
Persistent link: https://www.econbiz.de/10005160373
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On random power series with nonidentically distributed coefficients
Rohatgi, V. K. - In: Journal of Multivariate Analysis 5 (1975) 2, pp. 265-270
The distribution of the radius of convergence r([omega]) of a random power series with nonidentically distributed coefficients is considered. The results obtained here extend the well-known work in the identically distributed case.
Persistent link: https://www.econbiz.de/10005160385
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A quantum-mechanical functional central limit theorem
Cockroft, A. M.; Gudder, S. P.; Hudson, R. L. - In: Journal of Multivariate Analysis 7 (1977) 1, pp. 125-148
Continuing an earlier work [4], properties of canonical Wiener processes are investigated. An analog of the sample path continuity property is obtained. A noncommutative counterpart of weak convergence is formulated. Operator processes (Pn, Qn) analogous to the random-walk approximating...
Persistent link: https://www.econbiz.de/10005160393
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The likelihood ratio tests for the dimensionality of regression coefficients
Fujikoshi, Yasunori - In: Journal of Multivariate Analysis 4 (1974) 3, pp. 327-340
In this paper we give a unified derivation of the likelihood ratio (LR) statistics for testing the hypothesis on the dimensionality of regression coefficients under a usual MANOVA model. We also derive the LR statistics under a general MANOVA model and study their asymptotic null and nonnull...
Persistent link: https://www.econbiz.de/10005160400
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Exact joint distributions of any few ordered roots of a class of random matrices
Krishnaiah, P. R.; Waikar, V. B. - In: Journal of Multivariate Analysis 1 (1971) 3, pp. 308-315
In this paper, the authors derived exact expressions for the joint marginal densities of any few consecutive ordered roots of a class of random matrices which includes Wishart matrix, MANOVA matrix, and canonical correlation matrix. In addition, the authors obtained an exact expression for the...
Persistent link: https://www.econbiz.de/10005160407
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On some continuity and differentiability properties of paths of Gaussian processes
Cambanis, Stamatis - In: Journal of Multivariate Analysis 3 (1973) 4, pp. 420-434
The following path properties of real separable Gaussian processes [xi] with parameter set an arbitrary interval are established. At every fixed point the paths of [xi] are continuous, or differentiable, with probability zero or one. If [xi] is measurable, then with probability one its paths...
Persistent link: https://www.econbiz.de/10005160410
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