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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 2,661 - 2,670 of 3,562
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Estimation of dimension for spatially distributed data and related limit theorems
Cutler, C. D.; Dawson, D. A. - In: Journal of Multivariate Analysis 28 (1989) 1, pp. 115-148
In this paper we investigate the dimensional structure of probability distributions on Euclidean space and characterize a class of regular distributions. We obtain a consistent estimator of dimension based on a nearest neighbor statistic and in addition obtain asymptotic confidence intervals for...
Persistent link: https://www.econbiz.de/10005152932
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Zero regression of linear statistic on another one and operator-semistable laws
Corný, V. - In: Journal of Multivariate Analysis 31 (1989) 1, pp. 83-89
The problem of the characterization of multivariate distribution through the property of the zero regression of linear statistic on another one was posed by C. R. Rao. The characterization of probability distributions with independent operator-semistable components by this property is given.
Persistent link: https://www.econbiz.de/10005152935
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Order of convergence of regression parameter estimates in models with infinite variance
Le Breton, A.; Musiela, M. - In: Journal of Multivariate Analysis 31 (1989) 1, pp. 59-68
A semimartingale driven continuous time linear regression model is studied. Assumptions concerning errors allow us to consider also models with infinite variance. The order of the almost sure convergence of a class of estimates which includes least squares estimates is given. In the presence of...
Persistent link: https://www.econbiz.de/10005152962
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A note on inequalities for probabilities of large deviations of estimators in nonlinear regression models
Jeganathan, P. - In: Journal of Multivariate Analysis 30 (1989) 2, pp. 227-240
Persistent link: https://www.econbiz.de/10005152965
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Asymptotic maximal deviation of M-smoothers
Härdle, Wolfgang - In: Journal of Multivariate Analysis 29 (1989) 2, pp. 163-179
Let (X1, Y1),..., (Xn, Yn) be i.i.d. rv's and let m(x) = E(YX = x) be the regression curve of Y on X. A M-smoother mn(x) is a robust, nonlinear estimator of m(x), defined in analogy to robust M-estimators of location. In this paper the asymptotic maximal deviation sup0 = t = 1 mn(t) - m(t) is...
Persistent link: https://www.econbiz.de/10005152973
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Error bounds for asymptotic expansions of scale mixtures of univariate and multivariate distributions
Fujikoshi, Yasunori; Shimizu, Ryoichi - In: Journal of Multivariate Analysis 30 (1989) 2, pp. 279-291
Let X = [sigma]Z be a scale mixture of a random variable with the scale factor [sigma]. In this paper we consider the expansions G[sigma], k(x) = [Sigma]k - 1j = 0 (j!)-1 a[sigma], j(x) E([sigma][sigma] -1)j as approximations for the distribution function F(x) of X, where [delta] = 1 or -1, k is...
Persistent link: https://www.econbiz.de/10005152974
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Convergence rates for inverse Toeplitz matrix forms
Hannan, E. J.; Wahlberg, B. - In: Journal of Multivariate Analysis 31 (1989) 1, pp. 127-135
Given a p-dimensional spectral density [phi]([omega])=cI0, [for all][omega][set membership, variant][0,2[pi]] such that [phi]r([omega]) [set membership, variant] Lip* ([alpha]), with covariance block-Toeplitz matrix [Gamma]n of dimension np - np, we show that b=(r+[alpha])/(1+r+[alpha]),...
Persistent link: https://www.econbiz.de/10005152980
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Limiting behavior of U-statistics, V-statistics, and one sample rank order statistics for nonstationary absolutely regular processes
Harel, Michel; Puri, Madan L. - In: Journal of Multivariate Analysis 30 (1989) 2, pp. 181-204
The weak convergences of U- and V-statistics were established by Yoshihara (1976, Z. Warsch. Verw. Gebiete 35 237-252) for stationary absolutely regular processes. Later Yoshihara (1978, Z. Warsch. Verw. Gebiete 43 101-127) also proved the weak convergence of one sample rank order statistics...
Persistent link: https://www.econbiz.de/10005152994
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Asymptotic expansions for sums of nonidentically distributed Bernoulli random variables
Deheuvels, Paul; Puri, Madan L.; Ralescu, Stefan S. - In: Journal of Multivariate Analysis 28 (1989) 2, pp. 282-303
This paper concerns an asymptotic expansion for the distribution of the sum of independent zero-one random variables in case where this surn has variance [sigma]n2 -- [infinity]. The expansion presented is given to the order O([sigma]n-2). An application to the study of the exact rate of...
Persistent link: https://www.econbiz.de/10005152996
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I.i.d. representations for the bivariate product limit estimators and the bootstrap versions
Lo, Shaw-Hwa; Wang, Jane-Ling - In: Journal of Multivariate Analysis 28 (1989) 2, pp. 211-226
Let F(s, t) = P(X s, Y t) be the bivariate survival function which is subject to random censoring. Let be the bivariate product limit estimator (PL-estimator) by Campbell and Földes (1982, Proceedings International Colloquium on Non-parametric Statistical Inference, Budapest 1980,...
Persistent link: https://www.econbiz.de/10005153064
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