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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
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Admissible linear estimators in mixed linear models
Stepniak, Czeslaw - In: Journal of Multivariate Analysis 31 (1989) 1, pp. 90-106
Inhomogeneous linear estimation in the general mixed model with possible singular covariance matrix is considered. It is shown that this problem reduces to the homogeneous linear estimation in a simpler model. In consequence, some necessary and sufficient conditions for the admissibility are...
Persistent link: https://www.econbiz.de/10005199876
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Prophet inequalities for parallel processes
Hill, T. P.; Kennedy, D. P. - In: Journal of Multivariate Analysis 31 (1989) 2, pp. 236-243
Generalizations of prophet inequalities for single sequences are obtained for optimal stopping of several parallel sequences of independent random variables. For example, if {Xi, j, 1 = i = n, 1 = j [infinity]} are independent non-negative random variables, then and this bound is best possible....
Persistent link: https://www.econbiz.de/10005199896
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On moment conditions for valid formal Edgeworth expansions
Bhattacharya, Rabi N.; Ghosh, J. K. - In: Journal of Multivariate Analysis 27 (1988) 1, pp. 68-79
The validity of formal Edgeworth expansions for statistics which are functions of sample averages was established in [2], Ann. Statist.6 434-451) under a moment condition which is sometimes too severe. In this article this moment condition is relaxed. Two examples of [6 and 7], Ann. Probab.15...
Persistent link: https://www.econbiz.de/10005006490
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A characterization of Dirichlet distributions
Rao, B. V.; Sinha, Bikas K. - In: Journal of Multivariate Analysis 25 (1988) 1, pp. 25-30
[1], 641-643) have given a characterization of the Dirichlet distributions based on the properties of independence of various functions of the random variables (X1, X2, ..., Xk) having a joint continuous distribution over the k-dimensional simplex: 0 = x1 = [Sigma] xi = 1. In this paper we...
Persistent link: https://www.econbiz.de/10005221340
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A type 2 inequality for functions of bounded variation
Zaman, Asad - In: Journal of Multivariate Analysis 24 (1988) 1, pp. 53-55
The identity map on the set of functions of bounded variation under the variation norm to the same set under supremum norm is of type 2.
Persistent link: https://www.econbiz.de/10005221470
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A note on Edgeworth expansions for the von Mises functionals
Takahashi, Hajime - In: Journal of Multivariate Analysis 24 (1988) 1, pp. 56-65
We consider the asymptotic expansions for the distribution of the von Mises statistical functionals. By combining the methods of Reeds [6] and Callaert et al. [1], we obtain the Edgeworth expansion with remainder o(n-1/2) as n --> [infinity].
Persistent link: https://www.econbiz.de/10005221706
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Limit theorems for randomly weighted sums of random elements in normed linear spaces
Cabrera, M. Ordóñez - In: Journal of Multivariate Analysis 25 (1988) 1, pp. 139-145
Let {Vn; n = 1} be a sequence of random elements in a separable normed linear space E, uniformly dominated by a random variable V. Let {Ank; K = 1, 2, ..., n; n = 1} be a triangular array of random variables. In this paper, conditions for the convergence of [Sigma]k=1n AnkVk to zero (in...
Persistent link: https://www.econbiz.de/10005152978
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Optimal clustering on the real line
Butler, Ronald W. - In: Journal of Multivariate Analysis 24 (1988) 1, pp. 88-108
The central limit theory associated with universally optimal and bounded locally optimal clustering is presented. The derivation makes use of a Donsker-type theorem for the quantile process that is also proven. Procedures for assessing the numbers of groups represented in the data are also...
Persistent link: https://www.econbiz.de/10005153080
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Joint stable attraction of two sums of products
Cline, Daren B. H. - In: Journal of Multivariate Analysis 25 (1988) 2, pp. 272-285
With (X1, X2) in a stable domain of attraction and (Y1, Y2) independent of (X1, X2), conditions are given for which (X1Y1, X2Y2) is in the same domain and for which the same norming constants are applicable. For the case with no normal component, an alternative criterion for stable attraction...
Persistent link: https://www.econbiz.de/10005153245
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An asymptotic minimax theorem of order n-1/2
Pfanzagl, J. - In: Journal of Multivariate Analysis 27 (1988) 2, pp. 404-421
The asymptotic minimax theorem of LeCam and Hájek is refined by inclusion of terms of order n-1/2. This renders more precise informations about the local properties of superefficient estimator-sequences.
Persistent link: https://www.econbiz.de/10005153279
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