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Wiley电子期刊(3)	ProQuest学位论文(1)	Elsevier电子期刊(606)
SpringerLink电子期刊(46)	GSW全文库(3)

在“Elsevier电子期刊”中，命中：606条，耗时：0.0430081 秒

在所有数据库中总计命中：659条

1.Robust and efficient estimation of multivariate scatter and location

作者：Ricardo A. Maronna^a ; ^{rmaronna@retina.ar} ; Victor J. Yohai^b

关键词：MM-estimator ; ττ-estimator ; S-estimator ; Stahel&ndash ; Donoho estimator ; Kullback&ndash ; Leibler divergence

刊名：Computational Statistics & Data Analysis

出版年：2017

2.Spatiotemporal change and trend analysis of potential evapotranspiration over the Loess Plateau of China during 2011-2100

作者：Shouzhang Peng^a ; ^b ; Yongxia Ding^c ; Zhongming Wen^a ; ^b ; Yunming Chen^a ; ^b ; ^{ymchen@ms.iswc.ac.cn} ; Yang Cao^a ; ^b ; Jingyu Ren^d

关键词：Potential evapotranspiration ; Delta downscaling ; Hargreaves model ; Mann&ndash ; Kendall trend test ; Sen&rsquo ; s slope estimator ; Loess plateau

刊名：Agricultural and Forest Meteorology

出版年：2017

3.Constructing initial estimators in one-step estimation procedures of nonlinear regression

作者：Yu.Yu. Linke ^{linke@math.nsc.ru" class="auth_mail" title="E-mail the corresponding author} ; I.S. Borisov ; ^{sibam@math.nsc.ru" class="auth_mail" title="E-mail the corresponding author}

关键词：Nonlinear regression ; One-step MM-estimator ; Initial estimator ; αnαn-consistency ; Asymptotic normality

刊名：Statistics & Probability Letters

出版年：2017

4.Dimension reduction estimation for probability density with data missing at random when covariables are present

作者：Jianqiu Deng ; Qihua Wang ; ^{qhwang@amss.ac.cn" class="auth_mail" title="E-mail the corresponding author}

关键词：Kernel density estimation ; Kernel regression ; Dimension reduction ; Missing at random ; Asymptotic normality

刊名：Journal of Statistical Planning and Inference

出版年：2017

5.A varying-coefficient panel data model with fixed effects: Theory and an application to US commercial banks

作者：Guohua Feng^a ; ^{Guohua.Feng@unt.edu" class="auth_mail" title="E-mail the corresponding author} ; Jiti Gao^b ; ^{Jiti.Gao@monash.edu" class="auth_mail" title="E-mail the corresponding author} ; Bin Peng^c ; ^{Bin.Peng@uts.edu.au" class="auth_mail" title="E-mail the corresponding author} ; Xiaohui Zhang^d ; ^{x.zhang1@exeter.ac.uk" class="auth_mail" title="E-mail the corresponding author}

关键词：C23 ; C51 ; D24 ; G21

刊名：Journal of Econometrics

出版年：2017

6.Unbiased estimation of Weibull modulus using linear least squares analysis—A systematic approach

作者：Ian J. Davies ^{i.davies@curtin.edu.au" class="auth_mail" title="E-mail the corresponding author}

关键词：Weibull ; Extreme value distribution ; Unbiased estimation ; Weibull modulus ; Linear least squares

刊名：Journal of the European Ceramic Society

出版年：2017

7.Inference and prediction for modified Weibull distribution based on doubly censored samples

作者：M.S. Kotb^a ; ^{msakotb1712@yahoo.com" class="auth_mail" title="E-mail the corresponding author} ; M.Z. Raqab^b ; ^c ; ^{mraqab@ju.edu.jo" class="auth_mail" title="E-mail the corresponding author}

关键词：Bayesian estimation ; Bayesian prediction ; Type-II double censoring ; Three-parameter modified Weibull distribution ; Order statistics

刊名：Mathematics and Computers in Simulation

出版年：2017

8.K-nearest neighbors and a kernel density estimator for GEFCom2014 probabilistic wind power forecasting

作者：Yao Zhang ^{zy.3110161019@stu.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jianxue Wang ; ^{jxwang@mail.xjtu.edu.cn" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Wind power ; Probabilistic forecasting ; Point forecasting ; kk-nearest neighbors ; Kernel density estimator ; Coordinate descent algorithm

刊名：International Journal of Forecasting

出版年：2016

9.Robust ridge estimator in restricted semiparametric regression models

作者：Mahdi Roozbeh ^{mahdi.roozbeh@profs.semnan.ac.ir" class="auth_mail" title="E-mail the corresponding author} ^{m.roozbeh.stat@gmail.com" class="auth_mail" title="E-mail the corresponding author}

关键词：primary ; 62G08 ; 62G35 ; secondary ; 62J05 ; 62J07

刊名：Journal of Multivariate Analysis

出版年：2016

10.A practical approximation algorithm for the LTS estimator

作者：David M. Mount^a ; ^{mount@cs.umd.edu" class="auth_mail" title="E-mail the corresponding author} ; Nathan S. Netanyahu^b ; ^c ; ^{nathan@cs.biu.ac.il" class="auth_mail" title="E-mail the corresponding author} ; ^{nathan@cfar.umd.edu" class="auth_mail" title="E-mail the corresponding author} ; Christine D. Piatko^d ; ^{christine.piatko@jhuapl.edu" class="auth_mail" title="E-mail the corresponding author} ; Angela Y. Wu^e ; ^{awu@american.edu" class="auth_mail" title="E-mail the corresponding author} ; Ruth Silverman^c

关键词：Robust estimation ; Linear estimation ; Least trimmed squares ; Approximation algorithms ; Computational geometry

刊名：Computational Statistics & Data Analysis

出版年：2016

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