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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 3,051 - 3,060 of 3,562
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Equivalent measures of dependence
Bradley, Richard C. - In: Journal of Multivariate Analysis 13 (1983) 1, pp. 167-176
The maximal correlation between a pair of [sigma]-fields and becomes arbitrarily small as sup{P(A [pitchfork] B) - P(A) P(B)/[P(A) P(B)]1/2, A [set membership, variant] , B [set membership, variant] , P(A) > 0, P(B) > 0} becomes sufficiently small.
Persistent link: https://www.econbiz.de/10005152829
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The weak and strong Gaussian probabilistic realization problem
van Putten, C.; van Schuppen, J. H. - In: Journal of Multivariate Analysis 13 (1983) 1, pp. 118-137
A classification is given of all [sigma]-algebras that make two given [sigma]-algebras conditionally independent in the case that the [sigma]-algebras are generated by finite dimensional Gaussian random variables. In addition a classification is given of all Gaussian measures that have the...
Persistent link: https://www.econbiz.de/10005152889
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Characterization of limits of Bayes procedures
Caridi, Frank - In: Journal of Multivariate Analysis 13 (1983) 1, pp. 52-66
For the problem of estimating the natural parameter of a p-dimensional exponential family, a characterization of regular limits of Bayes procedures is obtained which generalizes results of Sacks [14], Brown [3], and Berger and Srinivasan [1]. The form is deduced under regularity conditions for...
Persistent link: https://www.econbiz.de/10005152923
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The rate of strong uniform consistency for the multivariate product-limit estimator
Horváth, Lajos - In: Journal of Multivariate Analysis 13 (1983) 1, pp. 202-209
The general asymptotic order of magnitude is determined for the maximal deviation of the multivariate product-limit estimate from the estimated survival function on Rk. This order depends on the joint behavior of the censoring and censored distributions in a well-defined way. Corresponding to...
Persistent link: https://www.econbiz.de/10005152924
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Point processes and multivariate extreme values
Deheuvels, Paul - In: Journal of Multivariate Analysis 13 (1983) 2, pp. 257-272
A new model for point processes is developed which assumes that the interarrival times are exponentially distributed and follow joint multivariate extreme value distributions. It is shown that such processes may arise via natural generating procedures, and that, under very weak assumptions, that...
Persistent link: https://www.econbiz.de/10005152946
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On the laws of large numbers for nonnegative random variables
Etemadi, Nasrollah - In: Journal of Multivariate Analysis 13 (1983) 1, pp. 187-193
Strong laws of large numbers concerning nonnegative random variables are obtained and then they are utilized to establish stability results, among other things, for sums of pairwise independent random variables and the range of random walks.
Persistent link: https://www.econbiz.de/10005152968
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The inverse partial correlation function of a time series and its applications
Bhansali, R. J. - In: Journal of Multivariate Analysis 13 (1983) 2, pp. 310-327
The concept of the inverse correlation function of a stationary process was introduced by Cleveland (Technometrics 14 (1972), 277-293). The inverse partial correlation function of a stationary process may intuitively be thought of as the corresponding extension of the concept of the partial...
Persistent link: https://www.econbiz.de/10005153253
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Limit laws for upper and lower extremes from stationary mixing sequences
Davis, Richard A. - In: Journal of Multivariate Analysis 13 (1983) 2, pp. 273-286
The aim of this paper is to examine the weak limiting behavior of upper and lower extremes from stationary sequences satisfying dependence conditions similar to D and D' introduced by Leadbetter (Z. Wahrsch. Verw. Gebiete 28 (1974), 289-303). By establishing the convergence in distribution of an...
Persistent link: https://www.econbiz.de/10005160352
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On the decomposition of the convolution of a Gaussian and poisson distribution on locally compact Abelian groups
Feldman, G. M.; Fryntov, A. E. - In: Journal of Multivariate Analysis 13 (1983) 1, pp. 148-166
Persistent link: https://www.econbiz.de/10005160464
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Asymptotic properties of general autoregressive models and strong consistency of least-squares estimates of their parameters
Lai, T. L.; Wei, C. Z. - In: Journal of Multivariate Analysis 13 (1983) 1, pp. 1-23
This paper establishes several almost sure asymptotic properties of general autoregressive processes. By making use of these properties, we obtain a proof of the strong consistency of the least-squares estimates of the parameters of the process without any assumption on the roots of the...
Persistent link: https://www.econbiz.de/10005160488
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