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ESTIMATORS: 作品数：153被引量：173H指数：5; 导出分析报告; 相关领域：理学更多>>; 相关作者：张书华朱近张洁玉夏德深更多>>; 相关机构：天津财经学院南京理工大学浙江大学中国科学技术大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金中国博士后科学基金国家重点基础研究发展计划国家社会科学基金更多>>

Nexus of certain model-based estimators in remote sensing forest inventory: 《Forest Ecosystems》2024年第6期921-930,共10页Yan Zheng Zhengyang Hou Goran Ståhl Ronald EMcRoberts Weisheng Zeng Erik Næsset Terje Gobakken Bo Li Qing Xu; supported by the National Social Science Fund of China(No.22BTJ005);the Key Project of National Key Research and Development Plan(No.2023YFF1304002-05);supported by the National Natural Science Foundation of China(No.32001252);the International Center for Bamboo and Rattan(Nos.1632022024,1632020029,1632021024).; Remote sensing(RS)facilitates forest inventory across a wide range of variables required by the UNFCCC as well as by other agreements and processes.The Conventional model-based(CMB)estimator supports wall-to-wall RS d...; 关键词：Model-based inference Sampling Sample size Non-wall-to-wall Forest inventory

The Consistency of LSE Estimators in Partial Linear Regression Models under Mixing Random Errors: 《Acta Mathematica Sinica,English Series》2024年第5期1244-1272,共29页Yun Bao YAO Yu Tan LÜ Chao LU Wei WANG Xue Jun WANG; Supported by the National Social Science Foundation of China(Grant No.22BTJ059)。; In this paper,we consider the partial linear regression model y_(i)=x_(i)β^(*)+g(ti)+ε_(i),i=1,2,...,n,where(x_(i),ti)are known fixed design points,g(·)is an unknown function,andβ^(*)is an unknown parameter to be ...; 关键词：(α β)-mixing random variables partial linear regression model least squares estimator CONSISTENCY

NADARAYA-WATSON ESTIMATORS FOR REFLECTED STOCHASTIC PROCESSES: 《Acta Mathematica Scientia》2024年第1期143-160,共18页韩月才张丁文; partially supported by the National Natural Science Foundation of China(11871244);the Fundamental Research Funds for the Central Universities,JLU。; We study the Nadaraya-Watson estimators for the drift function of two-sided reflected stochastic differential equations.The estimates,based on either the continuously observed process or the discretely observed proces...; 关键词：reflected stochastic differential equation discretely observed process continuously observed process Nadaraya-Watson estimator asymptotic behavior

Improved population mean estimator with exponential function under non-response: 《Applied Mathematics(A Journal of Chinese Universities)》2023年第4期562-580,共19页CerenUnal Cem Kadilar; In this article,we consider a new family of exponential type estimators for estimating the unknown population mean of the study variable.We propose estimators taking advantage of the auxiliary variable information und...; 关键词：NON-RESPONSE exponential estimators sub-sampling method population mean

Machine Learning-Based Channel State Estimators for 5G Wireless Communication Systems: 《Computer Modeling in Engineering & Sciences》2023年第4期755-778,共24页Mohamed Hassan Essai Ali Fahad Alraddady Mo’ath Y.Al-Thunaibat Shaima Elnazer; funded by Taif University Researchers Supporting Project No.(TURSP-2020/214),Taif University,Taif,Saudi Arabia。; For a 5G wireless communication system,a convolutional deep neural network(CNN)is employed to synthesize a robust channel state estimator(CSE).The proposed CSE extracts channel information from transmit-and-receive pa...; 关键词：DLNNs channel state estimator 5G and beyond communication systems robust loss functions

Model-Assisted Estimators with Auxiliary Functional Data: 《Communications in Mathematical Research》2022年第1期81-98,共18页Chao Liu Huiming Zhang Jing Yan; China Postdoctoral Science Foundation(Grant Nos.2021M691443,2021TQ0141);SUSTC Presidential Postdoctoral Fellow-ship.Huiming Zhang was supported in part by the University of Macao under UM Macao Talent Programme(UMMTP-2020-01).; Few studies focus on the application of functional data to the field of design-based survey sampling.In this paper,the scalar-onunction regression model-assisted method is proposed to estimate the finite population me...; 关键词：Survey sampling semi-supervised inference model-assisted estimator Horvitz-Thompson estimator functional linear regression

Extended Oracle Properties of Adaptive Lasso Estimators: 《Open Journal of Statistics》2022年第2期210-215,共6页Lorenzo Camponovo; We study the asymptotic properties of adaptive lasso estimators when some components of the parameter of interest βare strictly different than zero, while other components may be zero or may converge to zero with...; 关键词：Adaptive Lasso ASYMPTOTICS Oracle Properties

A Comparison of the Estimators of the Scale Parameter of the Errors Distribution in the L<sub>1</sub> Regression: 《Open Journal of Statistics》2022年第2期261-276,共16页Carmen D. Saldiva de André Silvia Nagib Elian; The L₁ regression is a robust alternative to the least squares regression whenever there are outliers in the values of the response variable, or the errors follow a long-tailed distribution. To calculate th...; 关键词：Minimum Sum of Absolute Errors Regression Multiple Linear Regression Variable Selection Heavy Tail Distributions Asymptotic Theory

Generalized Class of Mean Estimators with Known Measures for Outliers Treatment: 《Computer Systems Science & Engineering》2021年第7期1-15,共15页Ibrahim M.Almanjahie Amer Ibrahim Al-Omari Emmanuel J.Ekpenyong Mir Subzar; The authors extend their appreciation to Deanship of Scientific Research at King Khalid University for funding this work through Research Groups Program under grant number R.G.P.2/82/42.I.M.A.who received the grant,www.kku.edu.sa.; In estimation theory,the researchers have put their efforts to develop some estimators of population mean which may give more precise results when adopting ordinary least squares(OLS)method or robust regression techni...; 关键词：Product estimators ratio estimators regression estimators ordinary least square Huber M mean squared error EFFICIENCY

The Consistency for the Estimators of Semiparametric Regression Model with Dependent Samples: 《Acta Mathematicae Applicatae Sinica》2021年第2期299-318,共20页Yi WU Xue-jun WANG Ling CHEN Kun JIANG; supported by the National Natural Science Foundation of China(11671012,11871072);the Natural Science Foundation of Anhui Province(1808085QA03,1908085QA01,1908085QA07);the Provincial Natural Science Research Project of Anhui Colleges(KJ2019A0003)。; For the semiparametric regression model:Y^((j))(x_(in),t_(in))=t_(in)β+g(x_(in))+e^((j))(x_(in)),1≤j≤k,1≤i≤n,where t_(in)∈R and x(in)∈Rpare known to be nonrandom,g is an unknown continuous function on a compact...; 关键词：semiparametric regression model strong consistency complete consistency mean consistency m-END random variables

ESTIMATORS