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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 2,171 - 2,180 of 3,562
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Missing Data Imputation Using the Multivariate t Distribution
Liu, C. - In: Journal of Multivariate Analysis 53 (1995) 1, pp. 139-158
When a rectangular multivariate data set contains missing values, missing data imputation using the multivariate t distribution appears potentially useful, especially for robust inferences. An efficient technique, called the monotone data augmentation algorithm, for implementing missing data...
Persistent link: https://www.econbiz.de/10005221753
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On Rohlf's Method for the Detection of Outliers in Multivariate Data
Caroni, C.; Prescott, P. - In: Journal of Multivariate Analysis 52 (1995) 2, pp. 295-307
Rohlf (1975, Biometrics31, 93-101) proposed a method of detecting outliers in multivariate data by testing the largest edge of the minimum spanning tree. It is shown here that tests against the gamma distribution are extremely liberal. Furthermore, results depend on the correlation structure of...
Persistent link: https://www.econbiz.de/10005221758
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Nonparametric Regression with Censored Covariates
Dabrowska, D. M. - In: Journal of Multivariate Analysis 54 (1995) 2, pp. 253-283
The paper discusses weak convergence results for an estimate of the conditional survival function F(t z) = Pr(T t Z = z) where T is a multivariate response variable and Z is a vector of covariates. It is assumed that both T and Z are subject to right censoring. The estimate is obtained by kernel...
Persistent link: https://www.econbiz.de/10005152767
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Multivariate Liouville Distributions, IV
Gupta, R. D.; Richards, D. S. P. - In: Journal of Multivariate Analysis 54 (1995) 1, pp. 1-17
We define a class of distributions, containing the classical Dirichlet and Liouville distributions, in which the random variables take values in a locally compact Abelian group or semigroup. These generalizations retain many properties of the Dirichlet and Liouville distributions, including...
Persistent link: https://www.econbiz.de/10005152804
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Generalization of the Mahalanobis Distance in the Mixed Case
Barhen, A.; Daudin, J. J. - In: Journal of Multivariate Analysis 53 (1995) 2, pp. 332-342
The Mahalanobis distance is extended to the case where the variables are a mixture of discrete and continuous variables. The distributional properties are studied for the location model and asymptotical results are obtained for the general parametric case. The rate of convergence is evaluated...
Persistent link: https://www.econbiz.de/10005152863
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Divergence-Based Estimation and Testing of Statistical Models of Classification
Menendez, M.; Morales, D.; Pardo, L.; Vajda, I. - In: Journal of Multivariate Analysis 54 (1995) 2, pp. 329-354
The problems of estimating parameters of statistical models for categorical data, and testing hypotheses about these models are studied. Asymptotic properties of estimators minimizing [phi]-divergence between theoretical and empirical vectors of means are established. Asymptotic distributions of...
Persistent link: https://www.econbiz.de/10005152866
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Multivariate Exponential and Geometric Distributions with Limited Memory
Marshall, A. W.; Olkin, I. - In: Journal of Multivariate Analysis 53 (1995) 1, pp. 110-125
Many connections between geometric and exponential distributions are known. Characterizations and derivations of these distributions often run parallel. Moreover, one kind of distribution can be derived from the other: exponential distributions are limits of sequences of rescaled geometric...
Persistent link: https://www.econbiz.de/10005152867
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Strong Convergence of the Empirical Distribution of Eigenvalues of Large Dimensional Random Matrices
Silverstein, J. W. - In: Journal of Multivariate Analysis 55 (1995) 2, pp. 331-339
Let X be n - N containing i.i.d. complex entries with E X11 - EX112 = 1, and T an n - n random Hermitian nonnegative definite, independent of X. Assume, almost surely, as n -- [infinity], the empirical distribution function (e.d.f.) of the eigenvalues of T converges in distribution, and the...
Persistent link: https://www.econbiz.de/10005152890
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Robust Hierarchical Bayes Estimation of Small Area Characteristics in the Presence of Covariates and Outliers
Datta, G. S.; Lahiri, P. - In: Journal of Multivariate Analysis 54 (1995) 2, pp. 310-328
A robust hierarchical Bayes method is developed to smooth small area means when a number of covariates are available. The method is particularly suited when one or more outliers are present in the data. It is well known that the regular Bayes estimators of small. area means, under normal prior...
Persistent link: https://www.econbiz.de/10005152929
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Functional Limit Theorems for Row and Column Exchangeable Arrays
Ivanoff, B. G.; Weber, N. C. - In: Journal of Multivariate Analysis 55 (1995) 2, pp. 133-148
Sufficient conditions are given to illustrate how the various possible separately exchangeable continuous processes on [0, 1]2 may arise as the weak limit of the partial sum processes of a sequence of row and column exchangeable arrays.
Persistent link: https://www.econbiz.de/10005152943
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