应用统计抽样检验技术 逐步提高设备管理水平

简要介绍了统计抽样技术，界定了一些基本概念，说明了产品检验的统计抽样检验技术在设备管理中的具体应用。     

基于新限速抽样的超宽带通信系统信道时延估计

提出了利用新限速抽样率理论解决信道估计问题,建立了既可用于宽带也可用于窄带信道估计的框架,此框架的抽样率低于奈奎斯特速率。通过实例展示了利用奈奎斯特速率抽样而工作在低于奈奎斯特抽样率的算法性能,减少了功耗,也降低了算法的复杂性。     

Modelling Overdispersion for Complex Survey Data

The population characteristics observed by selecting a complex sample from a finite identified population are the result of at least two processes: the process which generates the values attached to the units in the finite population, and the process of selecting the sample of units from the population. In this paper we propose that the resulting observations by viewed as the joint realization of both processes. We overcome the inherent difflculty in modelling the joint processes of generation and selection by exploring second moment and other simplifying assumptions. We obtain general expressions for the mean and covariance function of the joint processes and show that several overdispersion models discussed in the literature for the analysis of complex surveys are a direct consequence of our formulation, undere particular sampling schemes and population structures.     

A Spatio-Temporal Autoregressive Model for Multi-Unit Residential Market Analysis*

By splitting the spatial effects into building and neighborhood effects, this paper develops a two order spatio-temporal autoregressive model to deal with both the spatio-temporal autocorrelations and the heteroscedasticity problem arising from the nature of multi-unit residential real estate data. The empirical results based on 54,282 condominium transactions in Singapore between 1990 and 1999 show that in the multi-unit residential market, a two order spatio-temporal autoregressive model incorporates more spatial information into the model, thus outperforming the models originally developed in the market for single-family homes. This implies that the specification of a spatio-temporal model should consider the physical market structure as it affects the spatial process. It is found that the Bayesian estimation method can produce more robust coefficients by efficiently detecting and correcting heteroscedasticity, indicating that the Bayesian estimation method is more suitable for estimating a real estate hedonic model than the conventional OLS estimation. It is also found that there is a trade off between the heteroscedastic robustness and the incorporation of spatial information into the model estimation. The model is then used to construct building-specific price indices. The results show that the price indices for different condominiums and the buildings within a condominium do behave differently, especially when compared with the aggregate market indices.This paper was presented at the Singapore–Hong Kong International Real Estate Research Symposium, organized by the Department of Real Estate, National University of Singapore, from 18 to 19 July, 2003.     

高灵敏度的微波取样系统

本文描述一个新的微波取样系统,使用测量数据的数字处理而提高了灵敏度.由于取样示波器中电子电路的时间漂移,给信号处理带来了更大的麻烦.本系统开发了一个适当的方法可以补偿时间漂移.本文讨论了噪声的影响,给随机的多余时间信号以信噪比的函数.最后举例说明,如何将此法应用到自动取样系统中去.     

CPI理论框架研究——固定篮子价格指数的缺陷及改进

从国际范围来看,"固定篮子"指数理论仍然是编制CPI的主体框架,但透过我国CPI的编制方法可以得出其不但存在理论假设上的缺陷,且在抽样设计、权数确定以及计算公式方面均存在弊端。对此,尝试给出改进思路,以提高CPI的精度与信度。