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部分线性单指标模型的序列相关性检验 被引量:2

Testing Serial Correlation in Partial Linear Single-index Model
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摘要 部分线性单指标模型是一类重要的半参数统计模型,对于模型中的误差,如果存在序列相关,那么在进行统计推断时会遇到诸多问题。针对该情况,对部分线性单指标模型的序列相关性进行检验,用VT,P检验的方法构造VT,P检验统计量,得到了零假设下检验统计量的渐进分布。数值模拟验证结果表明,该检验有较好的检验功效。 Partial liner single-index model is an important semiparametric statistic model. We know that if serial correlation exists for errors of regression models, then many problems will appear in the procedure of statistical inference. This paper is mainly to test serial correlation in partial liner singleindex model. We use the method of Vr.e test to construct testing statistics, and further derive the as- ymptotic distribution under null hypothesis, Simulation results show that our test has good effect.
出处 《重庆理工大学学报(自然科学)》 CAS 2012年第3期120-125,共6页 Journal of Chongqing University of Technology:Natural Science
关键词 部分线性单指标模型 序列相关检验 VT P检验 非参数回归 partial liner single-index model serial correlation test Vr,P test non-parametrical re-gression
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  • 1万彦辉,秦永元.小波分析在陀螺信号滤波中的研究[J].压电与声光,2005,27(4):455-457. 被引量:12
  • 2张瑞锋.金融市场协同波动溢出分析及实证研究[J].数量经济技术经济研究,2006,23(10):141-149. 被引量:28
  • 3JORG K W, BERG M. Sophisticated mobile robot sonar sensing with pseudo-random codes[J]. Robotics and Autonomous Systems, 1998, 25(3): 241-251.
  • 4MENG Q, YAO F, WU Y. Review of crosstalk elimination methods for ultrasonic range systems in mobile robots[C]//Piseataway, NJ, USA: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006: 1164-1169.
  • 5FORTUNA L, FRASCA M, RIZZO A. Chaotic pulse position modulation to improve the efficiency of sonar sensors[J]. IEEE Transactions on Instrumentation and Measurement, 2003, 52(6) : 1809-1814.
  • 6SUSHCHIK M, RULKOV N, LARSON L, et al. Chaotic pulse position modulation: a robust method of communicating with chaos [J]. IEEE Communication Letters, 2000, 4(4): 128-130.
  • 7ALVARO H, JESuS U, JUAN O J, et al. Ultrasonic ranging sensor using simultaneous emissions from different transducers [J]. IEEE Transactions on Ultrasonic, Ferroelectrics and Frequency Control, 2004, 52 (12) : 1660-1670.
  • 8PEREMANS H, AUDENAERT K, CAMPENHOUT J V. A high resolution sensor based on tri-aural perception[J]. IEEE Transactions on Robotics and Automation, 1993, 9(1): 36-48.
  • 9MENG Q, ZHANG Y, LIANG Q, et al. Avoiding crosstalk among mobile robot sonars with a novel coded sequence[C]//Anaheim, CA, USA: IASTED International Conference Robotics & Applications, 2005 :279-282.
  • 10MENG Q, LIANG Q, LI J. Frequency-hopping pseudo-random pulse width modulation to eliminate crosstalk of sonar sensors in mobile robots[C]//Piscataway, NJ, USA: IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006.. 2465-2470.

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  • 1薛留根,朱力行.部分线性单指标模型中参数的经验似然置信域[J].中国科学(A辑),2005,35(8):841-855. 被引量:9
  • 2郑慧凡,白静,李安桂.BP神经网络在建筑物空调负荷预测中的应用评述[J].计算机应用与软件,2007,24(6):103-105. 被引量:6
  • 3陈魁.试验设计与分析[M].北京:清华大学出版社,1995..
  • 4中国国家统计年鉴[K].
  • 5Cook R D, Reid N .Parameter ortrhogomality and approximate in regression.Ann-Statistic, 1987, (49), 15-39.
  • 6Catalina T,Virgone J,Blanco E.Development and validation of regression models to predict monthly heating demand for residential buildings [J].Energy and Buildings,2008,40:1825-1832.
  • 7Kevin K W Wan,Danny H W Li,Dalong Liu et al.Future trends of building heating and cooling loads and energy consumption in different climates [J].Building and Environment,2011,46:223-234.
  • 8Schiavon S,Lee K H5 Bauman F,et al.Influence of raised floor on zone design cooling load in commercial buildings [J].Energy and Buildings,2010,42:1182-1191.
  • 9Li Q,Meng Q,Cai J,et al.Applying support vector machine to predict hourly cooling load in the building [J].Applied Energy,2009,86:2249-2256.
  • 10Tsanas A,Xifara A.Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools [J].Energy and Buildings,2012:1-4.

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