المؤلفون: Kim, Hwang

المصدر: Journal of Hospitality and Tourism Technology, 2023, Vol. 14, Issue 2, pp. 172-187.

URL الوصول: http://www.emeraldinsight.com/doi/10.1108/JHTT-02-2022-0053

المؤلفون: 蔡华俭, 张明杨, 包寒吴霜, 朱慧珺, 杨紫嫣, 程曦, 黄梓航, 王梓西

مصطلحات موضوعية: 社会变迁, 文化变迁, 时间序列分析, 格兰杰因果检验, 年龄效应, 时间效应, 年代效应

Relation: 心理科学进展; http://ir.psych.ac.cn/handle/311026/44418

الاتاحة: http://ir.psych.ac.cn/handle/311026/44418
https://doi.org/10.3724/SP.J.1042.2023.00159

المؤلفون: 李浩賢, Lee, Ho-Yin

المساهمون: 曾毓英, Tzeng, Yu-Ying

مصطلحات موضوعية: 全球大流行, 保險需求, 動態追蹤資料模型, 中斷時間序列分析, 保險搶購行為, Pandemic, Insurance demand, Dynamic panel data model, Controlled interrupted time series analysis, Panic buying of insurance

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Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. John Wiley & Sons Inc. https://doi.org/10.1002/0471725153 Bernal, J. L., Cummins, S., & Gasparrini, A. (2018). The use of controls in interrupted time series studies of public health interventions. International journal of epidemiology, 47(6), 2082–2093. https://doi.org/10.1093/ije/dyy135 Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. https://doi.org/10.1016/S0304-4076(98)00009-8 Bottomley, C., Scott, J. & Isham, V. (2019). Analysing Interrupted Time Series with a Control. Epidemiologic Methods, 8(1), Article 20180010. https://doi.org/10.1515/em-2018-0010 Box, G. E. P., Jenkins, G. M., & Reinsel G. C. (2008). Time Series Analysis: Forecasting and Control (4th ed.). John Wiley & Sons, Inc. https://doi.org/10.1002/9781118619193 Brockwell, P. J. & Davis, R. A. (1991). Time Series: Theory and Methods (2nd ed.). Springer. https://doi.org/10.1007/978-1-4419-0320-4 Browne, M. J., Chung, J., & Frees, E. W. (2000). International Property-Liability Insurance Consumption. The Journal of Risk and Insurance, 67(1), 73–90. https://doi.org/10.2307/253677 Carson, J. M., Chen, P.-H., & Outreville, J. F. (2021). Foreign Direct Investment and the Supply of Life Insurance in Emerging Countries. Journal of Insurance Issues, 44(1), 38–64. https://www.jstor.org/stable/27000407 Cryer, J. D., & Chan, K. S. (2008). Time Series Analysis with Applications in R (2nd ed.). Springer. http://dx.doi.org/10.1007/978-0-387-75959-3 Davidson, J. E. H. (1981). Problems with the estimation of moving average processes. Journal of Econometrics, 16(3), 295–310. https://doi.org/10.1016/0304-4076(81)90032-4 Dickey, D. A., Hasza, D. P., & Fuller, W. A. (1984). Testing for Unit Roots in Seasonal Time Series. Journal of the American Statistical Association, 79(386), 355–367. https://doi.org/10.2307/2288276 Doshi, P. (2011). The elusive definition of pandemic influenza. Bulletin of the World Health Organization, 89(7), 532–538. https://doi.org/10.2471/BLT.11.086173 Dragotă, I. M., Cepoi, C. O., & Ştefan, L. (2023). Threshold effect for the life insurance industry: evidence from OECD countries. The Geneva Papers on Risk and Insurance - Issues and Practice, 48, 799–820. https://doi.org/10.1057/s41288-022-00272-8 Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. https://doi.org/10.2307/j.ctv14jx6sm Helfenstein, U. (1991). The Use of Transfer Function Models, Intervention Analysis and Related Time Series Methods in Epidemiology. International journal of epidemiology, 20(3), 808–815. https://doi.org/10.1093/ije/20.3.808 Hou, H., & Cheng, S.-Y. (2017). The dynamic effects of banking, life insurance, and stock markets on economic growth. Japan and the World Economy, 41, 87–98. https://doi.org/10.1016/j.japwor.2017.02.001 Iamsiraroj, S., & Ulubaşoğlu, M. A. (2015). Foreign direct investment and economic growth: A real relationship or wishful thinking? Economic Modelling, 51, 200–213. https://doi.org/10.1016/j.econmod.2015.08.009 Kang, J. H., Jang, Y. Y., Kim, J. H., Han, S.-H., Lee, K. R., Kim, M. K & Eom, J. S. (2020). South Korea's responses to stop the COVID-19 pandemic. American Journal of Infection Control, 48(9), 1080–1086. https://doi.org/10.1016/j.ajic.2020.06.003 Karadima, M., & Louri, H. (2021). Economic policy uncertainty and non-performing loans: The moderating role of bank concentration. Finance Research Letters, 38, Article 101458. https://doi.org/10.1016/j.frl.2020.101458 Kumar, N. N., & Sailaja, P. (2022). Compulsive panic buying of insurance in pandemic. International Journal of Health Sciences, 6(S1), 4886–4904. https://doi.org/10.53730/ijhs.v6nS1.5942 Ljung, G. M., & Box, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297–303. https://doi.org/10.2307/2335207 Mathieu, E., Ritchie, H., Rodés-Guirao, L., Appel, C., Gavrilov, D., Giattino, C., Hasell, J., Macdonald, B., Dattani, S., Beltekian, D., Ortiz-Ospina, E., & Roser, M. (2020). Coronavirus Pandemic (COVID-19). OurWorld in Data. Retrieve from https://ourworldindata.org/coronavirus Nebolsina, E. (2021). The impact of the Covid-19 pandemic on the business interruption insurance demand in the United States. Heliyon, 7(11), Article E08357. https://doi.org/10.1016/j.heliyon.2021.e08357 Outreville, J. F. (2021). Insurance and foreign direct investment: a review (or lack) of evidence. The Geneva Papers on Risk and Insurance - Issues and Practice, 46, 236–247. https://doi.org/10.1057/s41288-021-00218-6 Pesaran, M. H. (2004). General diagnostic tests for cross-sectional dependence in panels. Empirical Economics, 60, 13–50. https://doi.org/10.1007/s00181-020-01875-7 Przybytniowski, J. W., Borkowski, S., Pawlik, A., & Garasyim, P. (2022). The Risk of the COVID-19 Pandemic and Its Influence on the Business Insurance Market in the Medium- and Long-Term Horizon. Risks, 10(5), Article 100. https://doi.org/10.3390/risks10050100 Qian, X. (2021). The impact of COVID-19 pandemic on insurance demand: the case of China. The European Journal of Health Economics, 22, 1017–1024. https://doi.org/10.1007/s10198-021-01344-7 Rawlings, J. O., Pantula, S. G., & Dickey, D. A. (1998). Applied Regression Analysis: A Research Tool (2nd ed.). Springer. https://doi.org/10.1007/b98890 Sawadogo, R., Guérineau, S., & Ouedraogo, M. I. (2018). Foreign direct investment and insurance in developing countries: Beyond the income effect. Revue D’économie Du Développement, 26(4), 69–97. https://doi.org/10.3917/edd.324.0069 Schaffer, A. L., Dobbins, T. A., & Pearson, S.-A. (2021). Interrupted time series analysis using autoregressive integrated moving average (ARIMA) models: a guide for evaluating large-scale health interventions. BMC Medical Research Methodology, 21, Article 58. https://doi.org/10.1186/s12874-021-01235-8 Schwert, G. W. (1989). Tests for Unit Roots: A Monte Carlo Investigation. Journal of Business & Economic Statistics, 7(2), 147–159. https://doi.org/10.2307/1391432 Segodi, M. P., & Sibindi, A. B. (2022). Determinants of Life Insurance Demand: Empirical Evidence from BRICS Countries. Risks, 10(4), Article 73. https://doi.org/10.3390/risks10040073 Sen, S., & Madheswaran, S. (2013). Regional determinants of life insurance consumption: evidence from selected Asian economies. Asian-Pacific Economic Literature, 27(2), 86–103. https://doi.org/10.1111/apel.12024 Torres Munguía, J. A., Badarau, F. C., Díaz Pavez, L. R., Martínez-Zarzoso, I., & Wacker, K. M. (2022). A global dataset of pandemic- and epidemic-prone disease outbreaks. Scientific Data, 9, Article 683. https://doi.org/10.1038/s41597-022-01797-2 Wilhelm, D. (2015). OPTIMAL BANDWIDTH SELECTION FOR ROBUST GENERALIZED METHOD OF MOMENTS ESTIMATION. Econometric Theory, 31(5), 1054–1077. http://www.jstor.org/stable/24537642 Williams, C. A. (1986). Higher Interest Rates, Longer Lifetimes, and the Demand for Life Annuities. The Journal of Risk and Insurance, 53(1), 164–171. https://doi.org/10.2307/252274 Windmeijer, F. (2005). A finite sample correction for the variance of linear efficient two-step GMM estimators. Journal of Econometrics, 126 (1), 25–51. https://doi.org/10.1016/j.jeconom.2004.02.005 Zietz, E. N. (2003). An Examination of the Demand for Life Insurance. Risk Management and Insurance Review, 6(2), 159–191. https://doi.org/10.1046/J.1098-1616.2003.030.x; G0110358030; https://nccur.lib.nccu.edu.tw//handle/140.119/151093; https://nccur.lib.nccu.edu.tw/bitstream/140.119/151093/1/index.html

الاتاحة: https://nccur.lib.nccu.edu.tw//handle/140.119/151093
https://nccur.lib.nccu.edu.tw/bitstream/140.119/151093/1/index.html

المؤلفون: 周逸屏, Chou , Yi-Ping, 陳國華, Chen , Kwo-Hwa, 景國恩, Ching , Kuo-En, 楊名, Yang , Ming, 陳鶴欽, Chen, He-Chin

المساهمون: 臺灣土地研究

مصطلحات موضوعية: 一九九七坐標系統2010年成果（TWD97[2010]）, 衛星連續觀測站, 坐標時間序列分析, 應變速率, TWD97[2010], continuously operating reference station (CORS), coordinate time series analyzing, strain rate

وصف الملف: 8051313 bytes; application/pdf

Relation: 臺灣土地研究, 23(1), 83-101; https://nccur.lib.nccu.edu.tw//handle/140.119/132470; https://nccur.lib.nccu.edu.tw/bitstream/140.119/132470/1/9.pdf

الاتاحة: https://nccur.lib.nccu.edu.tw//handle/140.119/132470
https://doi.org/10.6677/JTLR.202005_23(1).0003
https://nccur.lib.nccu.edu.tw/bitstream/140.119/132470/1/9.pdf

المؤلفون: 于金波, 胡志强, 耿令波, 杨翊

مصطلحات موضوعية: 半潜式无人艇, 姿态预报, 时间序列分析预报, 灰色预报

Relation: 计算机仿真; 于金波,胡志强,耿令波,等. 半潜式无人艇运动姿态预报方法研究[J]. 计算机仿真,2018,35(2):251-256.; http://ir.sia.cn/handle/173321/21614

الاتاحة: http://ir.sia.cn/handle/173321/21614

المؤلفون: 吕宏梅, 王旭英, 王巧伟, 李咏荷, 刘玮, 潘小川

المساهمون: 安徽医科大学研究生学院, 北京大学公共卫生学院劳动卫生与环境卫生学系, 中国人民解放军空军总医院皮肤科

المصدر: 知网 ; CSCD

مصطلحات موضوعية: 湿疹, 空气污染, 时间序列分析, 北京

Relation: 临床皮肤科杂志.2016,45(5),328-331.; 1410947; http://hdl.handle.net/20.500.11897/445319

الاتاحة: https://hdl.handle.net/20.500.11897/445319

المؤلفون: 费增坪, 王洪庆, 张焱, 郑永光, 刘家峻

المساهمون: 中国人民解放军61741部队, 北京大学物理学院大气科学系, 国家气象中心

المصدر: 知网

مصطلحات موضوعية: 卫星云图, 图像处理, 时间序列分析, MCS

Relation: “2010年北京气象学会中青年优秀论文评选”学术研讨会.; 958048; http://hdl.handle.net/20.500.11897/248390

الاتاحة: https://hdl.handle.net/20.500.11897/248390

المؤلفون: 郑晓霞, 赵俊峰, 程志文, 谢冰

المساهمون: 高可信软件技术教育部重点实验室 北京大学信息科学技术学院,北京 100871

المصدر: 万方

مصطلحات موضوعية: Web服务 响应时间 时间序列分析

Relation: 中国计算机学会全国软件与应用学术会议(NASAC2009)论文集中国计算机学会.; 1209276; http://hdl.handle.net/20.500.11897/283564

الاتاحة: https://hdl.handle.net/20.500.11897/283564

المؤلفون: 王宛怡, 王洪源, 张志刚, 王旗

المساهمون: 北京大学公共卫生学院北京 100191, 国家气象中心 北京 100081

المصدر: 万方

مصطلحات موضوعية: 大气污染 可吸入颗粒物 心血管疾病 广义相加模型 时间序列分析 健康效应

Relation: 第四届国家环境与健康论坛论文集中国环境科学学会.; 1191443; http://hdl.handle.net/20.500.11897/278459

الاتاحة: https://hdl.handle.net/20.500.11897/278459

المؤلفون: 李玉平, 蔡运龙

المساهمون: 北京大学资源环境与地理学系,土地科学中心,北京,100871, 邢台学院地理系,河北,邢台,054001

المصدر: 知网 ; 万方

مصطلحات موضوعية: 耕地面积 驱动力 回归分析 时间序列分析

Relation: 中国人口资源与环境中国可持续发展研究会;山东师范大学.; 780448; http://hdl.handle.net/20.500.11897/213631

الاتاحة: https://hdl.handle.net/20.500.11897/213631

المؤلفون: 吕国钦, 张会琴, 李家春

مصطلحات موضوعية: 海上风电场, 短期风速预报, 时间序列分析, 波动集群效应, 波动反馈效应, 非对称效应, 二类

Relation: 中国科学:物理学 力学 天文学; 吕国钦,张会琴,李家春. 东海大桥风电场短期风速序列特性及其预报[J]. 中国科学:物理学 力学 天文学,2016-12-20,46(12):115-124.; http://dspace.imech.ac.cn/handle/311007/72121

الاتاحة: http://dspace.imech.ac.cn/handle/311007/72121

المؤلفون: 熊青龙, 黄梅波

مصطلحات موضوعية: 对外援助, 国际贸易, 时间序列分析, development assistance, international trade, time series analysis

Relation: 国际经贸探索,2014,(10):5-13; GJTS201410001; http://dspace.xmu.edu.cn/handle/2288/113129

الاتاحة: http://dspace.xmu.edu.cn/handle/2288/113129

المؤلفون: 刘楠媚, 刘利群, 胥美美, 梁凤超, 潘小川

المساهمون: 北京大学公共卫生学院,北京100191, 北京市西城区卫生局卫生监督所

المصدر: 万方 ; 知网 ; http://d.g.wanfangdata.com.cn/Periodical_hjyjkzz201407001.aspx

مصطلحات موضوعية: 空气污染 二氧化氮 时间序列分析 呼吸系统疾病 肺炎 死亡 Air pollution Nitrogen dioxide Time-series analysis Respiratory disease Pneumonia Mortality

Relation: 环境与健康杂志.2014,31,(7),565-568.; 810666; http://hdl.handle.net/20.500.11897/220233

الاتاحة: https://hdl.handle.net/20.500.11897/220233

المؤلفون: 盖颖颖, 刘媛, 范闻捷, 徐希孺

المساهمون: 北京大学遥感与地理信息系统研究所,北京100871, 山东省科学院海洋仪器仪表研究所,青岛266001

المصدر: 知网 ; 万方 ; http://d.g.wanfangdata.com.cn/Periodical_bjdxxb201403014.aspx

مصطلحات موضوعية: AR模型 FAPAR 黑河流域 卡尔曼滤波 时间序列分析 AR model FAPAR Heihe Basin Kalman filtering time series analysis

Relation: 北京大学学报（自然科学版）.2014,50,(3),515-525.; 769207; http://hdl.handle.net/20.500.11897/210400

الاتاحة: https://hdl.handle.net/20.500.11897/210400
https://doi.org/10.13209/j.0479-8023.2014.081

المؤلفون: 李舜

المساهمون: 北京大学经济学院 北京 100871

المصدر: 万方 ; http://d.g.wanfangdata.com.cn/Periodical_sysd201410018.aspx

مصطلحات موضوعية: 共识预测, 锚定偏差, 时间序列分析

Relation: 商业经济研究.2014,(10),44-45.; 1159413; http://hdl.handle.net/20.500.11897/68776

الاتاحة: https://hdl.handle.net/20.500.11897/68776

المؤلفون: 梁凤超, 胥美美, 金晓滨, 李戈莹, 田霖, 夏之雨, 陈实, 许伟, 潘小川

المساهمون: 北京大学公共卫生学院劳动卫生与环境卫生学系,北京100191, 西安市环境保护局

المصدر: 万方 ; 知网 ; http://d.g.wanfangdata.com.cn/Periodical_hjyjkzz201405001.aspx

مصطلحات موضوعية: 温度指标, 呼吸系统疾病, 死亡率, 时间序列分析, Temperature indicator, Respiratory disease, Mortality, Time-series analysis

Relation: 环境与健康杂志.2014,31,(5),377-381.; 799386; http://hdl.handle.net/20.500.11897/29579

الاتاحة: https://hdl.handle.net/20.500.11897/29579

المؤلفون: 汪静, 胥美美, 莫运政, 潘小川

المساهمون: 北京市东城区疾病预防控制中心,北京,100050, 北京大学公共卫生学院, 北京大学临床研究所

المصدر: 知网 ; 万方 ; http://d.g.wanfangdata.com.cn/Periodical_hjyjkzz201311018.aspx

مصطلحات موضوعية: 气象因素 感染性腹泻 圆形分布 时间序列分析 Meteorological factor Infectious diarrhea Circular distribution Time series analysis

Relation: 环境与健康杂志.2013,30,(11),991-995.; 889806; http://hdl.handle.net/20.500.11897/393892

الاتاحة: https://hdl.handle.net/20.500.11897/393892

المؤلفون: 任正洪

المساهمون: 北京大学医学部公共卫生学院妇女与儿童青少年卫生学系 100191

المصدر: 万方 ; 知网 ; http://d.g.wanfangdata.com.cn/Periodical_zgwstj201302001.aspx

مصطلحات موضوعية: 肺结核 新发病人数 时间序列分析 预测

Relation: 中国卫生统计.2013,30,(2),158-161.; 1107828; http://hdl.handle.net/20.500.11897/263869

الاتاحة: https://hdl.handle.net/20.500.11897/263869

المؤلفون: 徐溯, 郁俊莉

المساهمون: 北京大学政府管理学院 北京100871

المصدر: 万方 ; CSSCI ; http://d.g.wanfangdata.com.cn/Periodical_zgdzdxxb-shkx201303018.aspx

مصطلحات موضوعية: 增长极 深圳特区 时间序列分析 协整分析 公共政策

Relation: 中国地质大学学报（社会科学版）.2013,13,(3),109-114.; 684309; http://hdl.handle.net/20.500.11897/201756

الاتاحة: https://hdl.handle.net/20.500.11897/201756

المؤلفون: 王清波, 杨洪伟, 赵锋, 田磊磊, 杨莉

المساهمون: 北京大学公共卫生学院 北京 100191, 卫生部卫生发展研究中心 北京 100191

المصدر: 万方 ; 知网 ; http://d.g.wanfangdata.com.cn/Periodical_zgwszcyj201312006.aspx

مصطلحات موضوعية: 基本药物制度, 村卫生室, 门诊服务, 医疗费用, 时间序列分析, Essential medicines system, Village clinics, Outpatient service, Medical cost, Segmented time series analysis

Relation: 中国卫生政策研究.2013,6,(12),33-40.; 882397; http://hdl.handle.net/20.500.11897/30211

الاتاحة: https://hdl.handle.net/20.500.11897/30211
https://doi.org/10.3969/j.issn.1674-2982.2013.12.006