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1.
一般而言,偏态的椭球等高分布是一类分布族,有相当一部分的分布都是积分形式,且此类积分不易求出,而偏态的正态、偏态的正态尺度混合、偏态的PⅦ型、偏态的PⅡ型的分布却有着很好的结构,偏态t分布属于偏态PⅦ型分布,因此,本文在偏态PⅦ型分布的基础上着重研究新的偏态t分布,给出它的背景、定义、两种随机表示及其等价性.  相似文献   

2.
从偏态Pearson VII分布生成的新的多元偏态t分布   总被引:1,自引:1,他引:0       下载免费PDF全文
一般而言, 偏态的椭球等高分布是一类分布族,有相当一部分的分布都是积分形式, 且此类积分不易求出,而偏态的正态、偏态的正态尺度混合、偏态的PVII型、偏态的PII型的分布却有着很好的结构,偏态t分布属于偏态PVII型分布, 因此,本文在偏态PVII型分布的基础上着重研究新的偏态t分布,给出它的背景、定义、两种随机表示及其等价性.  相似文献   

3.
A new class of multivariate skew-normal distributions, fundamental skew-normal distributions and their canonical version, is developed. It contains the product of independent univariate skew-normal distributions as a special case. Stochastic representations and other main properties of the associated distribution theory of linear and quadratic forms are considered. A unified procedure for extending this class to other families of skew distributions such as the fundamental skew-symmetric, fundamental skew-elliptical, and fundamental skew-spherical class of distributions is also discussed.  相似文献   

4.
In this paper, three classes of binary linear codes with few weights are proposed from vectorial Boolean power functions, and their weight distributions are completely determined by solving certain equations over finite fields. In particular, a class of simplex codes and a class of first-order Reed-Muller codes can be obtained from our construction by taking the identity map, whose dual codes are Hamming codes and extended Hamming codes, respectively.  相似文献   

5.
Methodology and Computing in Applied Probability - A new robust class of multivariate skew distributions is introduced. Practical aspects such as parameter estimation method of the proposed class...  相似文献   

6.
A mixture approach to clustering is an important technique in cluster analysis. A mixture of multivariate multinomial distributions is usually used to analyze categorical data with latent class model. The parameter estimation is an important step for a mixture distribution. Described here are four approaches to estimating the parameters of a mixture of multivariate multinomial distributions. The first approach is an extended maximum likelihood (ML) method. The second approach is based on the well-known expectation maximization (EM) algorithm. The third approach is the classification maximum likelihood (CML) algorithm. In this paper, we propose a new approach using the so-called fuzzy class model and then create the fuzzy classification maximum likelihood (FCML) approach for categorical data. The accuracy, robustness and effectiveness of these four types of algorithms for estimating the parameters of multivariate binomial mixtures are compared using real empirical data and samples drawn from the multivariate binomial mixtures of two classes. The results show that the proposed FCML algorithm presents better accuracy, robustness and effectiveness. Overall, the FCML algorithm has the superiority over the ML, EM and CML algorithms. Thus, we recommend FCML as another good tool for estimating the parameters of mixture multivariate multinomial models.  相似文献   

7.
Asymmetric spatial processes arise naturally in finance, economics, hydrology and ecology. For such processes, two different classes of models are considered in this paper. One of them, proposed by Majumdar and Paul (J Comput Graph Stat 25(3):727–747, 2016), is the Double Zero Expectile Normal (DZEXPN) process and the other is a version of the “skewed normal process”, proposed by Minozzo and Ferracuti (Chil J Stat 3:157–170, 2012), with closed skew normal multivariate marginal distributions. Both spatial models have useful properties in the sense that they are ergodic and stationary. As a brief treatise to test the sensitivity and flexibility of the new proposed DZEXPN model (Majumdar and Paul in J Comput Graph Stat 25(3):727–747, 2016), in relation to other skewed spatial processes in the literature using a Bayesian methodology, our results show that by adding measurement error to the DZEXPN model, a reasonably flexible model is obtained, which is also computationally tractable than many others mentioned in the literature. Meanwhile, we develop a full-fledged Bayesian methodology for the estimation and prediction of the skew normal process proposed in Minozzo and Ferracuti (Chil J Stat 3:157–170, 2012). Specifically, a hierarchical model is used to describe the skew normal process and a computationally efficient MCMC scheme is employed to obtain samples from the posterior distributions. Under a Bayesian paradigm, we compare the performances of the aforementioned three different spatial processes and study their sensitivity and robustness based on simulated examples. We further apply them to a skewed data set on maximum annual temperature obtained from weather stations in Louisiana and Texas.  相似文献   

8.
Linear codes with few weights have applications in data storage systems, secret sharing schemes and authentication codes. In this paper, inspired by the butterfly structure [6], [29] and the works of Li, Yue and Fu [21] and Jian, Lin and Feng [19], we introduce a new defining set with the form of the closed butterfly structure and consequently we obtain three classes of 3-weight binary linear codes and a class of 4-weight binary linear codes whose dual is optimal. The lengths and weight distributions of these four classes of linear codes are completely determined by some detailed calculations on certain exponential sums. Computer experiments show that many (almost) optimal codes can be obtained from our construction.  相似文献   

9.
SOMEMULTIVARIATEDMRLANDNBUEDEFINITIONSBASEDONCONDITIONALSTOCHASTICORDERWANGYUEDONG(王跃东)CAOJINHUA(曹晋华)(DepartmentofStatistics,...  相似文献   

10.
本文主要研究了带位移的反厄米特型Toeplitz线性方程组Anx=b的一个新的反厄米特循环预处理子Cn,其中矩阵An的元素是函数f(θ)=a0+ig(θ)的傅里叶系数.如果g(θ)是Wiener类实值函数,则矩阵Cn非奇异;且当n足够大时,矩阵(Cn^-1An)·(Cn^-1An)的谱以1为聚点,数值实验进一步显示了我们的预处理子是有效的.  相似文献   

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