当前期刊: Metrika Go to current issue    加入关注   
显示样式:        排序: IF: - GO 导出
我的关注
我的收藏
您暂时未登录!
登录
  • An empirical likelihood method for quantile regression models with censored data
    Metrika (IF 0.64) Pub Date : 2020-06-05
    Qibing Gao, Xiuqing Zhou, Yanqin Feng, Xiuli Du, XiaoXiao Liu

    An estimation for censored quantile regression models, which is based on an inverse-censoring-probability weighting method, is studied in this paper, and asymptotic distribution of the parameter vector estimator is obtained. Based on the parameter estimation and asymptotic distribution of the estimator, an empirical likelihood inference method is proposed for censored quantile regression models and

    更新日期:2020-06-05
  • Efficient crossover designs for non-regular settings
    Metrika (IF 0.64) Pub Date : 2020-06-05
    Rakhi Singh, Joachim Kunert

    Crossover designs are called for in situations when several subjects undergo a sequence of treatments. Though, usually, the model contains the direct effects of treatments as well as the carryover effects, the primary interest lies in the estimation of direct effects of the treatment. Most results in the literature on crossover designs are available for the situations where either the number of periods

    更新日期:2020-06-05
  • On the equivalence between the LRT and F-test for testing variance components in a class of linear mixed models
    Metrika (IF 0.64) Pub Date : 2020-05-28
    Fares Qeadan, Ronald Christensen

    For the special case of balanced one-way random effects ANOVA, it has been established that the generalized likelihood ratio test (LRT) and Wald’s test are largely equivalent in testing the variance component. We extend these results to explore the relationships between Wald’s F test, and the LRT for a much broader class of linear mixed models; the generalized split-plot models. In particular, we explore

    更新日期:2020-05-28
  • Conditional maximum Lq-likelihood estimation for regression model with autoregressive error terms
    Metrika (IF 0.64) Pub Date : 2020-05-20
    Yeşim Güney, Y. Tuaç, Ş. Özdemir, O. Arslan

    In this article, we consider the parameter estimation of regression model with pth-order autoregressive (AR(p)) error term. We use the maximum Lq-likelihood (MLq) estimation method proposed by Ferrari and Yang (Ann Stat 38(2):753–783, 2010), as a robust alternative to the classical maximum likelihood (ML) estimation method to handle the outliers in the data. After exploring the MLq estimators for the

    更新日期:2020-05-20
  • A general multivariate new better than used (MNBU) distribution and its properties
    Metrika (IF 0.64) Pub Date : 2020-04-30
    Hyunju Lee, Ji Hwan Cha

    In this paper, we develop a general multivariate new better than used (MNBU) distribution based on a multivariate common shock model. Assuming that the external shock process follows the generalized Pólya process and a shock can destroy each component with some given probability, the multivariate survival distribution is obtained. The dependence structure of the multivariate distribution is analyzed

    更新日期:2020-04-30
  • Classes of Multiple Decision Functions Strongly Controlling FWER and FDR.
    Metrika Pub Date : 2015-07-15
    Edsel A Peña,Joshua D Habiger,Wensong Wu

    Two general classes of multiple decision functions, where each member of the first class strongly controls the family-wise error rate (FWER), while each member of the second class strongly controls the false discovery rate (FDR), are described. These classes offer the possibility that optimal multiple decision functions with respect to a pre-specified Type II error criterion, such as the missed discovery

    更新日期:2019-11-01
  • Optimal Hypothesis Testing: From Semi to Fully Bayes Factors.
    Metrika Pub Date : 2010-03-04
    Albert Vexler,Chengqing Wu,Kai Fun Yu

    We propose and examine statistical test-strategies that are somewhat between the maximum likelihood ratio and Bayes factor methods that are well addressed in the literature. The paper shows an optimality of the proposed tests of hypothesis. We demonstrate that our approach can be easily applied to practical studies, because execution of the tests does not require deriving of asymptotical analytical

    更新日期:2019-11-01
  • Quadratic semiparametric Von Mises calculus.
    Metrika Pub Date : 2009-03-01
    James Robins,Lingling Li,Eric Tchetgen,Aad W van der Vaart

    We discuss a new method of estimation of parameters in semiparametric and nonparametric models. The method is based on U-statistics constructed from quadratic influence functions. The latter extend ordinary linear influence functions of the parameter of interest as defined in semiparametric theory, and represent second order derivatives of this parameter. For parameters for which the matching cannot

    更新日期:2019-11-01
  • Consistency for the negative binomial regression with fixed covariate
    Metrika (IF 0.64) Pub Date : 2019-10-24
    Rafael Weißbach, Lucas Radloff

    We model an overdispersed count as a dependent measurement, by means of the Negative Binomial distribution. We consider a quantitative covariate that is fixed by design. The expectation of the dependent variable is assumed to be a known function of a linear combination involving the possibly multidimensional covariate and its coefficients. In the NB1-parametrization of the Negative Binomial distribution

    更新日期:2019-10-24
  • Discriminant analysis based on binary time series
    Metrika (IF 0.64) Pub Date : 2019-10-12
    Yuichi Goto, Masanobu Taniguchi

    Binary time series can be derived from an underlying latent process. In this paper, we consider an ellipsoidal alpha mixing strictly stationary process and discuss the discriminant analysis and propose a classification method based on binary time series. Assume that the observations are generated by time series which belongs to one of two categories described by different spectra. We propose a method

    更新日期:2019-10-12
  • Inequalities for Gaussian random variables under Archimedean copula dependence
    Metrika (IF 0.64) Pub Date : 2019-10-09
    Longxiang Fang, Wenyu Huang

    In this paper, we investigate two inequalities based on majorization for two random vectors with different Gaussian marginals and the same underlying Archimedean copulas. The established inequalities generalize well-known results by Slepian.

    更新日期:2019-10-09
  • Minimax estimation of a bivariate cumulative distribution function
    Metrika (IF 0.64) Pub Date : 2019-09-24
    Rafał Połoczański, Maciej Wilczyński

    The problem of estimating a bivariate cumulative distribution function F under the weighted squared error loss and the weighted Cramer–von Mises loss is considered. No restrictions are imposed on the unknown function F. Estimators, which are minimax among procedures being affine transformation of the bivariate empirical distribution function, are found. Then it is proved that these procedures are minimax

    更新日期:2019-09-24
  • Regularized quantile regression for ultrahigh-dimensional data with nonignorable missing responses
    Metrika (IF 0.64) Pub Date : 2019-09-07
    Xianwen Ding, Jiandong Chen, Xueping Chen

    The paper concerns the regularized quantile regression for ultrahigh-dimensional data with responses missing not at random. The propensity score is specified by the semiparametric exponential tilting model. We use the Pearson Chi-square type test statistic for identification of the important features in the sparse propensity score model, and employ the adjusted empirical likelihood method for estimation

    更新日期:2019-09-07
  • Quadrupling: construction of uniform designs with large run sizes
    Metrika (IF 0.64) Pub Date : 2019-08-27
    Hongyi Li, Hong Qin

    Fractional factorial designs are widely used because of their various merits. Foldover or level permutation are usually used to construct optimal fractional factorial designs. In this paper, a novel method via foldover and level permutation, called quadrupling, is proposed to construct uniform four-level designs with large run sizes. The relationship of uniformity between the initial design and the

    更新日期:2019-08-27
Contents have been reproduced by permission of the publishers.
导出
全部期刊列表>>
Springer化学材料学
骄傲月
如何通过Nature平台传播科研成果
跟Nature、Science文章学绘图
隐藏1h前已浏览文章
中洪博元
课题组网站
新版X-MOL期刊搜索和高级搜索功能介绍
ACS材料视界
x-mol收录
南开大学
朱守非
廖良生
郭东升
汪铭
伊利诺伊大学香槟分校
徐明华
中山大学化学工程与技术学院
试剂库存
天合科研
down
wechat
bug