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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 3,161 - 3,170 of 3,562
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An asymptotic decomposition for multivariate distribution-free tests of independence
Deheuvels, Paul - In: Journal of Multivariate Analysis 11 (1981) 1, pp. 102-113
In the multivariate case, the empirical dependence function, defined as the empirical distribution function with reduced uniform margins on the unit interval, can be shown for an i.i.d. sequence to converge weakly in an asymptotic way to a limiting Gaussian process. The main result of this paper...
Persistent link: https://www.econbiz.de/10005199835
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Some extensions of the Kantorovich inequality and statistical applications
Khatri, C. G.; Rao, C. Radhakrishna - In: Journal of Multivariate Analysis 11 (1981) 4, pp. 498-505
Kantorovich gave an upper bound to the product of two quadratic forms, (X'AX) (X'A-1X), where X is an n-vector of unit length and A is a positive definite matrix. Bloomfield, Watson and Knott found the bound for the product of determinants X'AX X'A-1X where X is n - k matrix such that X'X = Ik....
Persistent link: https://www.econbiz.de/10005199886
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Factorizing multivariate time series operators
Stensholt, Eivind; Tjøstheim, Dag - In: Journal of Multivariate Analysis 11 (1981) 2, pp. 244-249
Motivated by problems occurring in the empirical identification and modelling of a n-dimensional ARMA time series X(t) we study the possibility of obtaining a factorization (I + a1B + ... + apBp) X(t) = [[Pi]i=1p (I - [alpha]iB)] X(t), where B is the backward shift operator. Using a result in...
Persistent link: https://www.econbiz.de/10005199918
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On the theory of elliptically contoured distributions
Cambanis, Stamatis; Huang, Steel; Simons, Gordon - In: Journal of Multivariate Analysis 11 (1981) 3, pp. 368-385
The theory of elliptically contoured distributions is presented in an unrestricted setting, with no moment restrictions or assumptions of absolute continuity. These distributions are defined parametrically through their characteristic functions and then studied primarily through the use of...
Persistent link: https://www.econbiz.de/10005199932
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The use of the tetrachoric series for evaluating multivariate normal probabilities
Harris, Bernard; Soms, Andrew P. - In: Journal of Multivariate Analysis 10 (1980) 2, pp. 252-267
The tetrachoric series is a technique for evaluating multivariate normal probabilities frequently cited in the statistical literature. In this paper we have examined the convergence properties of the tetrachoric series and have established the following. For orthant probabilities, the...
Persistent link: https://www.econbiz.de/10005093747
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Riemann-Stieltjes quasi-martingale integration
Brennan, Michael D. - In: Journal of Multivariate Analysis 10 (1980) 4, pp. 517-538
Stochastic integration of left continuous integrands with respect to quasimartingales is developed as the pathwise limit of Riemann-Stieltjes sums. The procedure is extended to right continuous integrands.
Persistent link: https://www.econbiz.de/10005106972
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An optimum tolerance region for multivariate regression
Evans, M.; Fraser, D. A. S. - In: Journal of Multivariate Analysis 10 (1980) 2, pp. 268-272
A tolerance region is a map from the sample space of one statistical model to the event space of a second statistical model having the same parameter. This paper derives an optimum [beta]-expectation tolerance region for the multivariate regression model. A measure of power is proposed and...
Persistent link: https://www.econbiz.de/10005021355
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Asplund operators and A. E. convergence
Edgar, G. A. - In: Journal of Multivariate Analysis 10 (1980) 3, pp. 460-466
. Let E and F be Banach spaces, and U: E -- F a bounded linear operator. The following are equivalent: 1. o2. (a) U is an Asplund operator.3. (b) Let (Xn) be a sequence of Bochner measurable functions with values in E and supn||;Xn|| [infinity] a.e. If (Xn) converges scalarly to 0 in E, then...
Persistent link: https://www.econbiz.de/10005160338
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Brunn-Minkowski inequality and its aftermath
Gupta, Somesh Das - In: Journal of Multivariate Analysis 10 (1980) 3, pp. 296-318
Persistent link: https://www.econbiz.de/10005160517
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Class L of multivariate distributions and its subclasses
Sato, Ken-iti - In: Journal of Multivariate Analysis 10 (1980) 2, pp. 207-232
For any class Q of distributions on Rd, let (Q) be the class of limit distributions of bn-1(X1 + ... + Xn) - an, where {Xn} are independent Rd-valued random variables, each with distribution in Q, bn 0, an [set membership, variant] Rd, and {bn-1Xj} is a null array. When Q is the class of all...
Persistent link: https://www.econbiz.de/10005006409
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