统计学应用和方法交流
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作者:Jae Keun Yoo
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:We extend a generalized partially linear single-index model and newly define a generalized partially doubleindex model (GPDIM). The philosophy of sufficient dimension reduction is adopted in GPDIM to estimate unknown coefficient vectors in the model. Subsequently, various combina...
作者:Yoon Tae Kim , Hyun Suk Park
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:This paper considers the problem of estimation of the Hurst parameter H ∈ (1/2, 1) from longitudinal data with the error term of a fractional Brownian motion with Hurst parameter H that gives the amount of the long memory of its increment. We provide a new estimator of Hurst...
作者:Jae Keun Yoo , Sun Jeong
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:A permutation test is the popular and attractive alternative to derive asymptotic distributions of dimension test statistics in sufficient dimension reduction methodologies; however, recent studies show that a bootstrapping technique also can be used. We consider two types of boo...
作者:Hyemi Choi
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:Pickands constant H appears in the classical result about tail probabilities of the extremes of Gaussian processes and there exist several different representations of Pickands constant. However, the exact value of H is unknown except for two special Gaussian processes. Sign...
作者:Kazuto Igarashi , Hiroyuki Minami , Masahiro Mizuta
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:In this paper, we propose hierarchical cluster analysis and multidimensional scaling for joint distribution valued data. Information technology is increasing the necessity of statistical methods for large and complex data. Symbolic Data Analysis (SDA) is an attractive framework f...
作者:Rajesh Tailor , Hilal A. Lone , Rajiv Pandey
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:This paper addressed the problem of estimation of finite population mean in double sampling for stratification. This paper proposed a generalized ratio-cum-product type estimator of population mean. The bias and mean square error of the proposed estimator has been obtained upto t...
作者:Minkyu Han , Jaeyong Lee
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:In this paper we predict the track of typhoons using a Bayesian principal component regression model based on wind field data. Data is obtained at each time point and we applied the Bayesian principal component regression model to conduct the track prediction based on the ti...
作者:Macaulay Okwuokenye , Karl E. Peace
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:This study compares two generalized Lindley distributions and assesses consistency between theoretical and analytical results. Data (complete and censored) assumed to follow the Lindley distribution are generated and analyzed using two generalized Lindley distributions, and ...
作者:William W. S. Wei
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (3)
摘要:Time series are used in many studies for model building and analysis. We must be very careful to understand the kind of time series data used in the analysis. In this review article, we will begin with some issues related to the use of aggregate and systematic sampling time serie...
作者:Myung-Hoe Huh
来源:[J].Communications for Statistical Applications and Methods, 2015, Vol.22 (2)
摘要:Support vector machine (SVM) is a well known kernel-trick supervised learning tool. This study proposes a working scheme for kernel-trick regression and classification (KtRC) as a SVM alternative. KtRC fits the model on a number of random subsamples and selects the best mode...

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