Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tianxiao Pang"'
This paper examines the asymptotic inference for AR(1) models with a possible structural break in the AR parameter $\beta $ near the unity at an unknown time $k_{0}$. Consider the model $y_{t}=\beta_{1}y_{t-1}I\{t\leq k_{0}\}+\beta _{2}y_{t-1}I\{t>k_
Externí odkaz:
http://arxiv.org/abs/1306.1294
Autor:
Cheng-Der Fuh, Tianxiao Pang
Publikováno v:
Statistica Sinica.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19372f37f9b58fc02232c675e6ed79bd
https://doi.org/10.5705/ss.202021.0336
https://doi.org/10.5705/ss.202021.0336
Autor:
Linping Cao, Qing Wang, Jiawei Hong, Yuzhe Han, Weichen Zhang, Xun Zhong, Yongqian Che, Yaqi Ma, Keyi Du, Dongyan Wu, Tianxiao Pang, Jian Wu, Kewei Liang
Publikováno v:
Cancers
Volume 15
Issue 5
Pages: 1538
Volume 15
Issue 5
Pages: 1538
In this study, we considered preoperative prediction of microvascular invasion (MVI) status with deep learning (DL) models for patients with early-stage hepatocellular carcinoma (HCC) (tumor size ≤ 5 cm). Two types of DL models based only on venous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53c4d896d2d1840461c7b73607b44de3
Publikováno v:
Scientia Iranica.
Several auxiliary information-based estimators of the population variance are available in the existing literature of survey sampling. Mostly, these estimators are based on conventional dispersion measures of the auxiliary variable. In this study, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1aed0f862a8939b052280436e038b5db
https://doi.org/10.24200/sci.2020.53481.3260
https://doi.org/10.24200/sci.2020.53481.3260
Publikováno v:
Symmetry
Volume 12
Issue 1
Volume 12
Issue 1
The use of auxiliary information in survey sampling to enhance the efficiency of the estimators of population parameters is a common phenomenon. Generally, the ratio and regression estimators are developed by using the known information on convention
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da114169e1f81ac5e1f45a486b79471a
Publikováno v:
Iranian Journal of Science and Technology, Transactions A: Science. 43:1139-1149
This paper proposes an improved general family of ratio-type estimators using the coefficient of skewness of an auxiliary variable for estimating finite population mean under simple random sampling. Bias, mean squared error (MSE) and minimum MSE of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db36af18d5125f820295fb7ff97ddd75
https://doi.org/10.1007/s40995-018-0561-5
https://doi.org/10.1007/s40995-018-0561-5
Publikováno v:
Science China Mathematics. 60:2263-2286
Parameter estimation for ordinary differential equations arises in many fields of science and engineering. To be the best of our knowledge, traditional methods are often either computationally intensive or inaccurate for statistical inference. Ramsay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8901aed459698e617754882fa7d0a46f
https://doi.org/10.1007/s11425-017-9155-0
https://doi.org/10.1007/s11425-017-9155-0
Publikováno v:
Econometric Theory. 34:985-1017
This article revisits the asymptotic inference for nonstationary AR(1) models of Phillips and Magdalinos (2007a) by incorporating a structural change in the AR parameter at an unknown time k0. Consider the model ${y_t} = {\beta _1}{y_{t - 1}}I\{ t \l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::254abc768807acaaf645ae788cb5e805
https://doi.org/10.1017/s0266466617000317
https://doi.org/10.1017/s0266466617000317
Publikováno v:
Scientia Iranica.
Numerous ratio-type estimators of the population variance are proposed in the existing literature based on different characteristics of the study as well as the auxiliary variable. However, mostly the existing estimators are based on the conventional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c32748af1c1309d0ef5a77a66f26512
https://doi.org/10.24200/sci.2019.5633.1385
https://doi.org/10.24200/sci.2019.5633.1385
Publikováno v:
Scientia Iranica.
In survey sampling, most of the research work based on the fact that utilizing the information of auxiliary variable(s) boosts the efficiency of estimators. Keeping this fact in mind we used the information of two auxiliary variables to propose a fam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91fbecc61b466e9ed9e0ef5a75ba2670
https://doi.org/10.24200/sci.2018.5648.1397
https://doi.org/10.24200/sci.2018.5648.1397