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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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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 3,091 - 3,100 of 3,562
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Reverse processes and some limit theorems of multitype Galton-Watson processes
Nakagawa, Tetsuo - In: Journal of Multivariate Analysis 12 (1982) 2, pp. 161-177
We classify the reverse process {Xn} of a multitype Galton-Watson process {Zn}. In the positive recurrent cases we give the stationary measure for {Xn} explicitly, and in the critical case, supposing that all the second moments of Z1 are finite, we establish the convergence in law to a gamma...
Persistent link: https://www.econbiz.de/10005221438
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Local times for stochastic processes which are subordinate to Gaussian processes
Berman, Simeon M. - In: Journal of Multivariate Analysis 12 (1982) 3, pp. 317-334
Let X and Y be random vectors of the same dimension such that Y has a normal distribution with mean vector O and covariance matrix R. Let g(x), x=0, be a bounded nonincreasing function. X is said to be g-subordinate to Y if Eeiu'X = g(u'Ru) for all real vectors u of the same dimension as X. This...
Persistent link: https://www.econbiz.de/10005221447
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Weak consistency of least-squares estimators in linear models
Kaffes, D.; Bhaskara Rao, M. - In: Journal of Multivariate Analysis 12 (1982) 2, pp. 186-198
Let Yn, n=1, be a sequence of integrable random variables with EYn = xn1[beta]1 + xn2[beta]2 + ... + xnp[beta]p, where the xij's are known and [beta]T = ([beta]1, [beta]2,..., [beta]p) unknown. Let bn be the least-squares estimator of [beta] based on Y1, Y2,..., Yn. Weak consistency of bn, n=1,...
Persistent link: https://www.econbiz.de/10005221680
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The Fréchet distance between multivariate normal distributions
Dowson, D. C.; Landau, B. V. - In: Journal of Multivariate Analysis 12 (1982) 3, pp. 450-455
The Fréchet distance between two multivariate normal distributions having means [mu]X, [mu]Y and covariance matrices [Sigma]X, [Sigma]Y is shown to be given by d2 = [mu]X - [mu]Y2 + tr([Sigma]X + [Sigma]Y - 2([Sigma]X[Sigma]Y)1/2). The quantity d0 given by d02 = tr([Sigma]X + [Sigma]Y -...
Persistent link: https://www.econbiz.de/10005221738
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Weak and strong convergence of amarts in Fréchet spaces
Egghe, Leo - In: Journal of Multivariate Analysis 12 (1982) 2, pp. 291-305
Several new characterizations of nuclearity in Fréchet spaces are proved. The most important one states tat a Fréchet space is nuclear if and only if every mean bounded amart is strongly a.s. convergent. This extends the result in [[2], 1798-1799] in a more positive way, and gives a different...
Persistent link: https://www.econbiz.de/10005152787
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The multitype branching random walk, II
Gail Ivanoff, B. - In: Journal of Multivariate Analysis 12 (1982) 4, pp. 526-548
Limit theorems for the multitype branching random walk as n -- [infinity] are given (n is the generation number) in the case in which the branching process has a mean matrix which is not positive regular. In particular, the existence of steady state distributions is proven in the subcritical...
Persistent link: https://www.econbiz.de/10005152864
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On the spectral representation of symmetric stable processes
Hardin, Clyde D. - In: Journal of Multivariate Analysis 12 (1982) 3, pp. 385-401
The so-called spectral representation theorem for stable processes linearly imbeds each symmetric stable process of index p into Lp (0 p = 2). We use the theory of Lp isometries for 0 p 2 to study the uniqueness of this representation for the non-Gaussian stable processes. We also determine...
Persistent link: https://www.econbiz.de/10005152896
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On Fourier transform of generalized Brownian functionals
Kuo, Hui-Hsiung - In: Journal of Multivariate Analysis 12 (1982) 3, pp. 415-431
Let 4 and 4 be the spaces of generalized Brownian functionals of the white noises B and b, respectively. A Fourier transform from 4 into 4 is defined by [phi](b) = [integral operator]0*: exp[-i [integral operator]1b(t) B(t) dt]: 1), where : : denotes the renormalization with respect to b and...
Persistent link: https://www.econbiz.de/10005152907
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Properties of fourth-order strong mixing rates and its application to random set theory
Mase, Shigeru - In: Journal of Multivariate Analysis 12 (1982) 4, pp. 549-561
We shall define the concept of fourth-order strong mixing rates and study their properties. Results are useful for establishing a condition of the form (*) [Sigma]a,b,c cum(Xo, Xa, Xb, Xc) [infinity] or [integral operator]cum(Xo, Xa, Xb, Xc) da db dc [infinity] for dependent random variables...
Persistent link: https://www.econbiz.de/10005152916
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On r-quick limit sets for empirical and related processes based on mixing random variables
Babu, Gutti Jogesh; Singh, Kesar - In: Journal of Multivariate Analysis 12 (1982) 4, pp. 508-525
The r-quick limit points of normalized sample paths and empirical distribution functions of mixing processes are characterized. An r-quick version of Bahadur-Kiefer-type representation for sample quantiles is established, which yields the r-quick limit points of quantile processes. These results...
Persistent link: https://www.econbiz.de/10005153030
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