高效的PD雷达多重频模糊分辨算法

在PD雷达中距离和速度模糊不可避免,为解模糊需要发射多重频脉冲串。该文引入一种高效的模糊分辨新算法,运算简单、计算量小、精度高、易于实时处理。利用该算法在实现模糊分辨的同时能获得好的估计性能。设计实例及数字实验说明了该方法的正确性和有效性。该算法也可用于欠采样、多基线干涉仪测向或其他类似系统进行频率、方向等参数的模糊分辨。     

The sensitivity of robust unit root tests

The power properties of the rank-based Dickey–Fuller (DF) unit root test of Granger and Hallman [C. Granger and J. Hallman, Nonlinear transformations of integrated time series, J. Time Ser. Anal. 12 (1991), pp. 207–218] and the range unit root tests of Aparicio et al. [F. Aparicio, A. Escribano, and A. Siplos, Range unit root (RUR) tests: Robust against non-linearities, error distributions, structural breaks and outliers, J. Time Ser. Anal. 27 (2006), pp. 545–576] are considered when applied to near-integrated time series processes with differing initial conditions. The results obtained show the empirical powers of the tests to be generally robust to smaller deviations of the initial condition of the time series from its underlying deterministic component, particularly for more highly stationary processes. However, dramatic decreases in power are observed when either the mean or variance of the deviation of the initial condition is increased. The robustness of the rank- and range-based unit root tests and their higher power results relative to the seminal DF test have both been noted previously in the econometrics literature. These results are questioned by the findings of the present paper.     

Work motivations as antecedents and outcomes of leadership: Integrating self-determination theory and the full range leadership theory

While some research has documented links between supervisors’ leadership style and subordinates’ motivation, little is known about what drives leadership behaviors in the first place. This study aimed to contribute to the scholarly literature on motivational antecedents of leadership by drawing on the self-determination theory (SDT) of motivation and the full range leadership theory. We traced work motivation throughout the leadership process, starting with supervisors’ work motivations as potential antecedents of leadership styles and proceeding to how leadership styles associate with subordinates’ work motivations. A 2-2-1 multilevel mediational model tested on 61 supervisors and their 244 subordinates showed that supervisors’ autonomous work motivation was linked with subordinates’ ratings of supervisors’ transformational leadership which, in turn, was linked with subordinates’ autonomous work motivation. Furthermore, supervisors’ transactional leadership mediated the association between their controlled motivation and their subordinates’ controlled motivation, whereas supervisors’ passive-avoidant leadership mediated the link between their amotivation and their subordinates’ amotivation. Our integration of the full spectrum of SDT’s conceptualization of motivation with the full range of leadership theory provides insights into the motivational processes that naturally direct supervisors toward transformational, transactional, or passive-avoidant leadership styles and their consequent reflection in subordinates’ motivations. The work has both theoretical and practical implications.     

A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes

For the univariate case, the R chart and the S ² chart are the most common charts used for monitoring the process dispersion. With the usual sample size of 4 and 5, the R chart is slightly inferior to the S ² chart in terms of efficiency in detecting process shifts. In this article, we show that for the multivariate case, the chart based on the standardized sample ranges, we call the RMAX chart, is substantially inferior in terms of efficiency in detecting shifts in the covariance matrix than the VMAX chart, which is based on the standardized sample variances. The user's familiarity with sample ranges is a point in favor of the RMAX chart. An example is presented to illustrate the application of the proposed chart.     

Distribution-free confidence intervals for quantiles and tolerance intervals in terms of k-records

In this paper, we consider the problem of determining non-parametric confidence intervals for quantiles when available data are in the form of k-records. Distribution-free confidence intervals as well as lower and upper confidence limits are derived for fixed quantiles of an arbitrary unknown distribution based on k-records of an independent and identically distributed sequence from that distribution. The construction of tolerance intervals and limits based on k-records is also discussed. An exact expression for the confidence coefficient of these intervals are derived. Some tables are also provided to assist in choosing the appropriate k-records for the construction of these confidence intervals and tolerance intervals. Some simulation results are presented to point out some of the features and properties of these intervals. Finally, the data, representing the records of the amount of annual rainfall in inches recorded at Los Angeles Civic Center, are used to illustrate all the results developed in this paper and also to demonstrate the improvements that they provide on those based on either the usual records or the current records.     

Expanded confidence intervals

Confidence intervals for location parameters are expanded (in either direction) to some “crucial” points and the resulting increase in the confidence coefficient investigated.Particaular crucial points are chosen to illuminate some hypothesis testing problems.Special results are dervied for the normal distribution with estimated variance and, in particular, for the problem of classifiying treatments as better or worse than a control.For this problem the usual two-sided Dunnett procedure is seen to be inefficient.Suggestions are made for the use of already published tables for this problem.Mention is made of the use of expanded confidence intervals for all pairwise comparisons of treatments using an “honest ordering difference” rather than Tukey's “honest siginificant difference”.     

基于极差的区制转移随机波动率模型及其应用

关于金融波动率的建模,大量文献都是基于将收益率作为波动率代理变量,而基于极差这一更有效的代理变量研究波动率的则相对较少． 考虑到随机波动率模型的优势,将区制转移引入到基于极差的随机波动率模型中,从而刻画金融市场中波动率水平可能存在的结构变化． 随后给出此波动率模型的MCMC估计,并利用模拟证明了该方法的有效性． 基于以上模型,对上证综指、深圳成指和沪深300指数的极差波动率进行了实证研究,并利用已实现波动率作为基准、以稳健的损失函数作为判断准则的比较方法,与文献中常用的GARCH类模型和SV类模型进行比较,进一步论证了提出模型的优势     

河南省取消法律援助事项范围限制的可行性分析

法律援助事项范围的限制将一些需要法律援助的主体排除在外,这与“应援尽援”要求不符。实践中,河南省一些辖市取消法律援助事项范围的限制取得了良好的社会效果。取消法律援助事项范围限制不论是理论上还是实践上,都是可行的、合理的。由此引发的司法资源短缺、法律援助欺诈等问题,可通过进一步完善法律援助标准立法、设立公示制度、设置案情审查标准、确定不予援助案件范围、建立援助案件等级优先制等来解决。     

关于疑问句的性质与范围

本文着重讨论两个问题：一、疑问句的性质。疑问句属于句子的功能类别，而非语气类别；“疑问”范畴属于句法范畴。二、疑问句的范围。疑问句的功用在于“发问”，“有疑有问”是主体，“无疑有问”也属疑问句，“有疑无问”为非疑问句。     

合并报表暂行规定探析

合并会计报表的编制是困扰会计实务的一大难题,出现这一问题固然与合并会计报表编制的难度有关,更与财政部颁布的《合并报表暂行规定》中有关规定存在着一定程度的不完善性有关。该文就合并报表编制中“控制”与合并范围、合并理论、内部交易抵消方法等三个重大问题的理论方法的创新进行了相关研究,以期对修订《合并报表暂行规定》或制定合并报表有积极的参考价值。