机构

• 数学与系统科学研究院 [7]
• 地理科学与资源研究所 [3]
• 遥感与数字地球研究所 [2]
• 心理研究所 [2]
• 地质与地球物理研究所 [1]
• 长春光学精密机械与物... [1]
• 更多

采集方式

• OAI收割 [16]

内容类型

• 期刊论文 [12]
• SCI/SSCI论文 [2]
• 会议论文 [2]

发表日期

• 2022 [2]
• 2017 [1]
• 2015 [1]
• 2013 [3]
• 2012 [2]
• 2011 [2]
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学科主题

筛选

浏览/检索结果: 共16条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Insecure attachment may not hamper relationships: a dyadic fit perspective 期刊论文  OAI收割 CURRENT PSYCHOLOGY, 2022, 页码: 15 作者:  Wang, Kexin;  Li, Fugui;  Xu, Jie;  Chen, Shuang;  Zhou, Mingjie   |  收藏  |  浏览/下载：46/0  |  提交时间：2022/12/16 Attachment  Matching effect  Romantic partners  Polynomial regression  Dyadic data analysis   A new method for estimating Sharpe ratio function via local maximum likelihood 期刊论文  OAI收割 JOURNAL OF APPLIED STATISTICS, 2022, 页码: 19 作者:  Xu, Wenchao;  Lin, Hongmei;  Tong, Tiejun;  Zhang, Riquan   |  收藏  |  浏览/下载：26/0  |  提交时间：2023/02/07 Direct method  heteroscedastic non-parametric regression  joint limiting distribution  local polynomial smoothing  Sharpe ratio function   An Exploratory Investigation of the Role of Openness in Relationship Quality among Emerging Adult Chinese Couples 期刊论文  OAI收割 FRONTIERS IN PSYCHOLOGY, 2017, 卷号: 8, 期号: 0, 页码: 1-12 作者:   收藏  |  浏览/下载：38/0  |  提交时间：2017/05/02 openness  intimate relationships  relationship quality  personality consistency  cross-level polynomial regression   RPC Estimation via l(1)-Norm-Regularized Least Squares (L1LS) 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2015, 卷号: 53, 期号: 8, 页码: 217-228 作者:  Long, Tengfei;  Jiao, Weili;  He, Guojin 收藏  |  浏览/下载：37/0  |  提交时间：2016/04/20 Compressive sensing  Lasso via the least angle regression (LARS)  least absolute shrinkage and selection operator (Lasso)  rational polynomial coefficients (RPCs)  variable selection  l(1)-norm regularization   Efficient estimation of seemingly unrelated additive nonparametric regression models 期刊论文  OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2013, 卷号: 26, 期号: 4, 页码: 595-608 作者:  Yuan Yuan;  You Jinhong;  Zhou Yong   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/01/14 BAYESIAN-INFERENCE  CONSISTENCY  Additive structure  asymptotic normality  nonparametric modelling  polynomial spline  seemingly unrelated regression  two-stage estimation   Generalized profile LSE in varying-coefficient partially linear models with measurement errors 期刊论文  OAI收割 Acta Mathematicae Applicatae Sinica, English Series,, 2013, 卷号: 29, 期号: 3, 页码: 477-490 作者:  Ma Yunbei;  You Jinhong;  Zhou Yong   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/01/14 REGRESSION-MODELS  VARIABLES  INFERENCES  Semiparametric modeling  varying-coefficient  measurement error  local polynomial  profile least squares  asymptotic normality   1951-2010年中国季平均降水高精度曲面建模分析 期刊论文  OAI收割 地理科学进展, 2013, 卷号: 32, 期号: 1, 页码: 49 作者:  赵娜;  岳天祥;  王晨亮   |  收藏  |  浏览/下载：6/0  |  提交时间：2023/05/29 HASM  seasonal average precipitation  polynomial regression  interpolation  China  高精度曲面建模  季平均降水  多项式回归  插值  中国   Scaled total-least-squares-based registration for optical remote sensing imagery SCI/SSCI论文  OAI收割 2012 作者:  Ge Y. 收藏  |  浏览/下载：25/0  |  提交时间：2014/12/25 Image registration  Polynomial regression model  Error-in-variables  model  Ordinary least squares  Scaled total least squares  Singular  value decomposition  temporal dependence  error propagation  model  accuracy  impact   Functional coefficient autoregressive conditional root model 期刊论文  OAI收割 JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2012, 卷号: 25, 期号: 5, 页码: 998-1013 作者:  Zhou Jianjun;  Chen Min   |  收藏  |  浏览/下载：26/0  |  提交时间：2021/01/14 NONLINEAR TIME-SERIES  REGRESSION-MODELS  DIVERGING NUMBER  LIKELIHOOD  PARAMETERS  Ergodicity  functional coefficient  polynomial spline function   Study of experimental design and Response Surface method for surrogate model of computational simulation (EI CONFERENCE) 会议论文  OAI收割 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011, September 16, 2011 - September 18, 2011, Yichang, China Xi R.; Jia H.; Xiao Q. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 While the high-precision simulation is widely used in science and technology  Design of Experiment (DOE) based on Response Surface (RS) method can be employed in surrogate model to reduce the cost and error. In order to illustrate the relationship between parameters and response features  several DOE methods and Response Surface (RS) method are studied. The author used polynomial regression and RBF neural network based on orthogonal array to build a rocket aerodynamic discipline surrogate model respectively which proved their feasibility. From the results of the test case  conclusion is drawn that characteristic as well as acclimatization of DOE methods and different approximation should be considered for different issues  so the factors of cost and accuracy could reach a balance synthetically. 2011 IEEE.