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STATISTICAL: 作品数：912被引量：1236H指数：14; 导出分析报告; 相关领域：医药卫生更多>>; 相关作者：邢修三张杰郝艳玲王进孙立娥更多>>; 相关机构：陕西中医药大学附属医院清华大学北京大学北京理工大学更多>>; 相关期刊：更多>>; 相关基金：国家自然科学基金国家重点基础研究发展计划国家高技术研究发展计划国家教育部博士点基金更多>>

Statistical seasonal forecasting of tropical cyclone landfalls on Taiwan Island: 《Atmospheric and Oceanic Science Letters》2025年第2期43-49,共7页Ziqing Chen Kelvin T.F.Chan Zawai Luo; jointly supported by the Innovation Group Project of the Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai)[grant number 316323005];the Guangdong Basic and Applied Basic Research Foundation[grant numbers 2023A1515010741 and 2024B1515020035];the Science and Technology Planning Project of Guangdong Province[grant number 2023B1212060019]。; Forecasting tropical cyclone(TC)activities has been a topic of great interest and research.Taiwan Island(TW)is one of the key regions that is highly exposed to TCs originated from the western North Pacific.Here,the au...; 关键词：Seasonal forecast Tropical cyclone Taiwan Island LANDFALL

Explanatory Notes on Main Statistical Indicators: 《中国经济景气月报》2025年第3期232-235,共4页; Gross Domestic Product(GDP)refer to the final products produced by all reside nt units in a country duri ng a certain period of time.Gross domestic product is expressed in three differe nt perspectives,n amely value,i...; 关键词：Gross Domestic Product

Deep Learning-based Bias Correction Method for Seasonal Prediction of Summer Rainfall in China: 《Journal of Tropical Meteorology》2025年第1期64-74,共11页QU An-kang BAO Qing ZHU Tao LUO Zhao-ming; Guangdong Major Project of Basic and Applied Basic Research(2020B0301030004);Postdoctoral Fellowship Program of CPSF(GZC20232598);China Postdoctoral Science Foundation(2024M753168);National Key Scientific and Technological Infrastructure Project“Earth System Numerical Simulation Facility”(EarthLab)。; Seasonal prediction of summer rainfall in China plays a crucial role in decision-making,environmental protection,and socio-economic development,while it currently has a low prediction skill.We developed a deep learnin...; 关键词：seasonal prediction RAINFALL statistical-dynamical model deep learning

Insufficient Statistical Power of the Chi-Square Model Fit Test for the Exclusion Assumption of the Instrumental Variable Method: 《Fudan Journal of the Humanities and Social Sciences》2025年第1期115-136,共22页Zijun Ke; supported by Guangdong Basic and Applied Basic Research Foundation(Grant No.2022A1515011986);National Natural Science Foundation of China(Grant No.31700986).; Regression estimates are biased when potential confounders are omitted or when there are other similar risks to validity.The instrumental variable(IV)method can be used instead to obtain less biased estimates or to st...; 关键词：Instrumental variable method Exclusion assumption Chi-square test of model fit Statistical power Diagnostic test

Quantifying cell fate change under different stochastic gene activation frameworks: 《Quantitative Biology》2025年第1期89-101,共13页Xinxin Chen Ying Sheng Liang Chen Moxun Tang Feng Jiao; The National Natural Science Foundation of China,Grant/Award Numbers:12271118,12331017。; Gene transcription is a stochastic process characterized by fluctuations in mRNA levels of the same gene in isogenic cell populations.A central question in single-cell studies is how to map transcriptional variability...; 关键词：cell fate change mRNA distribution statistical transcription threshold stochastic gene transcription transcription noise

Markov Chain Monte Carlo-Based L1/L2 Regularization and Its Applications in Low-Dose CT Denoising: 《Journal of Applied Mathematics and Physics》2025年第2期419-428,共10页Shuoqi Yu; In this paper, a low-dose CT denoising method based on L1/L2regularization method of Markov chain Monte Carlo is studied. Firstly, the mathematical model and regularization method of low-dose CT denoising are summariz...; 关键词：Low-Dose CT Denoising REGULARIZATION Statistical Inverse Problem MCMC Sampling

Characteristic Optimization Based on Combined Statistical Indicators and Random Forest Theory: 《CSEE Journal of Power and Energy Systems》2024年第6期2657-2666,共10页Qingzhen Liu Chao Cai Lei Wu Renwu Yan; supported by The National Natural Science Foundation of China(61174117);the Foundation of Scientific Research Project of Jinjiang Science and Education Development Center of Fuzhou Univerdity(2019-JJFDKY-33).; In order to effectively utilize the dielectric response characteristics of transformers to diagnose the insulation state,this paper proposes a two-level hybrid optimization method for analyzing time-domain dielectric ...; 关键词：Feature space optimization integrated statistical indicators oil-paper insulation state random forest time domain characteristic two-level algorithm

Impact of climate change on water resources in the Yarmouk River Basin of Jordan: 《Journal of Arid Land》2024年第12期1633-1647,共15页Abdelaziz Q BASHABSHEH Kamel K ALZBOON; Understanding the impact of climate change on water resources is important for developing regional adaptive water management strategies. This study investigated the impact of climate change on water resources in the Y...; 关键词：streamflow climate change Soil and Water Assessment Tool(SWAT) Statistical Downscaling Model(SDSM) Yarmouk River Basin JORDAN

Statistical properties of seismic foreshocks and aftershocks associated with longwall mining:Implications from the Epidemic Type Aftershock Sequence model: 《Journal of Rock Mechanics and Geotechnical Engineering》2024年第12期4878-4894,共17页Xu Li Guangyao Si Bobo Shi Wenzhuo Cao Wu Cai Joung Oh Ismet Canbulat; support from Australian Research Council(Grant No.LP200301404);support from the Fundamental Research Funds for the Central Universities(Grant No.2020CXNL02)is also much appreciated.; The control and management of mining-induced seismic hazards have attracted ever-rising attention,especially in underground longwall coal mines,where continuous mining activities dynamically alter the stress states an...; 关键词：Event triggering SEISMICITY Longwall mining FORESHOCKS AFTERSHOCKS

Statistical Characteristics Analysis Based on F/A-XX Fighter Using Adapative Kernel Density Estimation Algorithm: 《Journal of Shanghai Jiaotong university(Science)》2024年第6期1202-1210,共9页FU Li JIANG Guanwu HUANG Quanjun; the National Natural Science Foundation of China(Nos.61074090 and 60804025)。; The sixth-generation fighter has superior stealth performance,but for the traditional kernel density estimation(KDE),precision requirements are difficult to satisfy when dealing with the fluctuation characteristics of...; 关键词：radar cross section(RCS) kernel density estimation(KDE) statistical properties

STATISTICAL