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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 3,121 - 3,130 of 3,562
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Remark on strong martingales and the linear embedding of tactics
Grillenberger, Christian; Krengel, Ulrich - In: Journal of Multivariate Analysis 11 (1981) 4, pp. 568-571
It is shown that 2-parameter strong martingales in the sense of Walsh can be transformed into 1-parameter martingales by the "embedding of tactics" and can be characterized by this property.
Persistent link: https://www.econbiz.de/10005221620
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Representations for partially exchangeable arrays of random variables
Aldous, David J. - In: Journal of Multivariate Analysis 11 (1981) 4, pp. 581-598
Consider an array of random variables (Xi,j), 1 = i,j [infinity], such that permutations of rows or of columns do not alter the distribution of the array. We show that such an array may be represented as functions f([alpha], [xi]i, [eta]j, [lambda]i,j) of underlying i.i.d, random variables....
Persistent link: https://www.econbiz.de/10005152847
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A general approach to optimal control of a regression experiment
Chang, Der-Shin; Wong, Chi Song - In: Journal of Multivariate Analysis 11 (1981) 1, pp. 85-101
Let = (1, 2, ..., n)' be the least-squares estimator of [theta] = ([theta]1, [theta]2, ..., [theta]n)' by the realization of the process y(t) = [Sigma]k = 1n [theta]kfk(t) + [xi](t) on the interval T = [a, b] with f = (f1, f2, ..., fn)' belonging to a certain set X. The process satisfies...
Persistent link: https://www.econbiz.de/10005199605
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Strong consistent density estimate from ergodic sample
Györfi, László - In: Journal of Multivariate Analysis 11 (1981) 1, pp. 81-84
The almost sure convergence of the kernel-type density estimate is proved for a strictly stationary ergodic sample.
Persistent link: https://www.econbiz.de/10005199820
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A note on Sheppard's corrections for grouping and maximum likelihood estimation
Don, F. J. H. - In: Journal of Multivariate Analysis 11 (1981) 3, pp. 452-458
Sheppard's corrections for grouping can, in the case of an underlying normal distribution, be interpreted as a first step to the solution of the maximum likelihood equations which incorporate the grouping problem. This result of Lindley (for the univariate) and Haitovsky (for the bivariate) is...
Persistent link: https://www.econbiz.de/10005006573
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Decreasing in transposition property of overlapping sums, and applications
Hollander, M.; Proschan, F.; Sethuraman, J. - In: Journal of Multivariate Analysis 11 (1981) 1, pp. 50-57
In this paper a large class of multivariate densities and frequency functions, including the multivariate Poisson distribution and the compound multivariate Poisson distribution, are shown to have the decreasing in transposition property introduced by [4], Ann. Statist. 5, 722-733). Sample...
Persistent link: https://www.econbiz.de/10005093882
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Convergence of estimates. Part II
Strasser, Helmut - In: Journal of Multivariate Analysis 11 (1981) 2, pp. 152-172
Persistent link: https://www.econbiz.de/10005221222
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Bayes minimax estimation of multiple Poisson parameters
Ghosh, Malay; Parsian, Ahmad - In: Journal of Multivariate Analysis 11 (1981) 2, pp. 280-288
For the p-variate Poisson mean, under the sum of weighted squared error losses, weights being reciprocals of variances, a class of proper Bayes minimax estimates dominating the usual estimate, namely the sample mean is produced. An example is given to illustrate this. The interrelation of our...
Persistent link: https://www.econbiz.de/10005221271
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Polynomial expansions of density and distribution functions of scale mixtures
Hall, Peter - In: Journal of Multivariate Analysis 11 (1981) 2, pp. 173-184
Let Y be an absolutely continuous random variable and W a nonnegative variable independent of Y. It is to be expected that when W is close to 1 in some sense, the distribution of the scale mixture YW will be close to Y. This notion has been investigated by a number of workers, who have provided...
Persistent link: https://www.econbiz.de/10005221296
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Operator-stable laws
Hudson, William N.; Mason, J. David - In: Journal of Multivariate Analysis 11 (1981) 3, pp. 434-447
Sharpe investigated the structure of full operator-stable measures [mu] on a vector group V and obtained decompositions, [mu] = [mu]1 * [mu]2 and V = V1 [circle plus operator] V2, in terms of the Gaussian component [mu]1 and the Poisson component [mu]2. The subspaces V1 and V2 are here...
Persistent link: https://www.econbiz.de/10005221337
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