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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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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 2,881 - 2,890 of 3,562
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On the angle between past and future for multivariate stationary stochastic processes
Miamee, A. G. - In: Journal of Multivariate Analysis 20 (1986) 2, pp. 205-219
A characterization for the positivityof the angle between past and future of multivariate stationary stochastic processes is established. In order to prove the results a lemma is proved which is of independent interest, and which is very useful in other areas of prediction theory as well.
Persistent link: https://www.econbiz.de/10005221390
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Third order efficient tests in exponential lattice models
Hipp, C. - In: Journal of Multivariate Analysis 18 (1986) 1, pp. 138-149
In full rank multivariate exponential families of lattice distributions, one sided testing problems are considered. For these testing problems the uniformly most powerful unbiased tests are not uniformly efficient of order o(n-1) in the class 2* of all tests which are asymptotically similar of...
Persistent link: https://www.econbiz.de/10005221419
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Transformations preserving normality and Wishart-ness
Nabeya, Seiji; Kariya, Takeaki - In: Journal of Multivariate Analysis 20 (1986) 2, pp. 251-264
Let Rn-p, (n), Gl(p) and +(p) denote respectively the set of n-p matrices, the set of n-n orthogonal matrices, the set of p-p nonsingular matrices and the set of p - p positive definite matrices. In this paper, it is first shown that a bijective and bimeasurable transformation (BBT) g on...
Persistent link: https://www.econbiz.de/10005221443
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On detection of the number of signals in presence of white noise
Zhao, L. C.; Krishnaiah, P. R.; Bai, Z. D. - In: Journal of Multivariate Analysis 20 (1986) 1, pp. 1-25
In this paper, the authors propose procedures for detection of the number of signals in presence of Gaussian white noise under an additive model. This problem is related to the problem of finding the multiplicity of the smallest eigenvalue of the covariance matrix of the observation vector. The...
Persistent link: https://www.econbiz.de/10005221501
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Robust estimation in the linear model with asymmetric error distributions
Collins, J. R.; Sheahan, J. N.; Zheng, Z. - In: Journal of Multivariate Analysis 20 (1986) 2, pp. 220-243
In the linear model Xn - 1 = Cn - p[theta]p - 1 + En - 1, Huber's theory of robust estimation of the regression vector [theta]p - 1 is adapted for two models for the partially specified common distribution F of the i.i.d. components of the error vector En - 1. In the first model considered, the...
Persistent link: https://www.econbiz.de/10005221538
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Spectral factorization of wide sense stationary processes on 2
Korezlioglu, Hayri; Loubaton, Philippe - In: Journal of Multivariate Analysis 19 (1986) 1, pp. 24-47
The problem of prediction of wide sense stationary processes on 2 with respect to the column-by-column or row-by-row lexicographic order is studied. A theorem giving an explicit realization of the corresponding canonical factorization of the spectral density is proved and conditions are given...
Persistent link: https://www.econbiz.de/10005221589
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Approximations to the mean integrated squared error with applications to optimal bandwidth selection for nonparametric regression function estimators
Härdle, Wolfgang - In: Journal of Multivariate Analysis 18 (1986) 1, pp. 150-168
Discrete versions of the mean integrated squared error (MISE) provide stochastic measures of accuracy to compare different estimators of regression fuctions. These measures of accuracy have been used in Monte Carlo trials and have been employed for the optimal bandwidth selection for kernel...
Persistent link: https://www.econbiz.de/10005221640
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Two Lil-type results for the Brownian bridge
Sen, Pradip Kumar - In: Journal of Multivariate Analysis 19 (1986) 1, pp. 113-118
The necessary and sufficient condition for a function to be upper class relative to a Brownian motion process was obtained by T. Sirao and T. Nisida (1952, Nagoya Math. J. 4, 97-101) and a related result on first passage distribution was obtained by P. K. Sen and M. J. Wichura (in press,...
Persistent link: https://www.econbiz.de/10005221663
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Two-sided bounds and leading term for rates of convergence in the multivariate central limit theorem
Hall, Peter; Wightwick, J. C. H. - In: Journal of Multivariate Analysis 19 (1986) 2, pp. 225-239
For a sequence of independent and identically distributed random vectors, upper and lower bounds are obtained for the discrepancy between the probability measure Pn, induced by their normalized sum, and the Normal measure [Phi]. The upper and lower bounds are of the same order of magnitude....
Persistent link: https://www.econbiz.de/10005221727
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Rates of convergence for classes of functions: The non-i.i.d. case
Yukich, J. E. - In: Journal of Multivariate Analysis 20 (1986) 2, pp. 175-189
Let Xi, i = 1, be a sequence of [phi]-mixing random variables with values in a sample space (X, A). Let L(Xi) = P(i) for all i = 1 and let n, n = 1, be classes of real-valued measurable functions on (X, A). Given any function g on (X, A), let Sn(g) = [Sigma]i = 1n {g(Xi) - Eg(Xi)}. Under weak...
Persistent link: https://www.econbiz.de/10005221731
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