卫星遥感影像RPC参数求解算法研究

针对国内外在求解RPC模型参数算法上需要初值、迭代处理,且求解过程相当复杂的缺憾,提出了基于全球DEM的RPC模型参数求解算法,利用SPOT-5、CBERS-2以及ERS卫星影像进行实验,获得对卫星遥感影像几何处理有意义的结论,并对卫星影像在利用严格成像几何模型求解RPC模型参数时做了控制点格网大小及高程分层数对求解精度的影响实验,得出对卫星遥感影像,采用控制点的格网大小为20×20、高程分层为3可以达到精度和效率的平衡。     

立法中模糊限制语的语言特征

模糊限制语作为立法者意图的重要表达手段,有其独特的语言风格特点。了解立法中模糊限制语的语言特征有助于我们对立法的学习和掌握。     

NFL Draftnikology: Euclidean Metrics and Other Approaches to Scoring Ranking Predictions

With viewership of NFL (National Football League) football in the US rising above 20 million, interest in the NFL Draft has also been at all-time highs in recent years. Much of this interest is directed toward the “NFL draftniks” who provide draft predictions—so-called “mock drafts”—leading up to the NFL Draft. Despite increasing interest in “NFL draftnikology,” the scoring methodology used to evaluate mock NFL drafts lags far behind. This study offers a few alternative approaches, including a Euclidean metrics approach to evaluating mock NFL drafts. The usefulness of our methodologies extends to evaluation of economic and financial analysts.     

Parametric bootstrap inferences for panel data models

This article presents parametric bootstrap (PB) approaches for hypothesis testing and interval estimation for the regression coefficients and the variance components of panel data regression models with complete panels. The PB pivot variables are proposed based on sufficient statistics of the parameters. On the other hand, we also derive generalized inferences and improved generalized inferences for variance components in this article. Some simulation results are presented to compare the performance of the PB approaches with the generalized inferences. Our studies show that the PB approaches perform satisfactorily for various sample sizes and parameter configurations, and the performance of PB approaches is mostly the same as that of generalized inferences with respect to the expected lengths and powers. The PB inferences have almost exact coverage probabilities and Type I error rates. Furthermore, the PB procedure can be simply carried out by a few simulation steps, and the derivation is easier to understand and to be extended to the incomplete panels. Finally, the proposed approaches are illustrated by using a real data example.     

美国统一商法典——实卖编中的模糊限制语

立法语言以表达准确甚至是精确为其追求的目标,那么在立法中是否能够完全彻底的排除模糊限制语的使用呢？作者根据Prince et al．以及channell等人对模糊限制语的分类,对模糊限制语在美国统一商法典-买卖编中的分类、使用原因及作用,作了分析探讨。结果表明：作为立法语言之一的美国统一商法典-买卖编中．不仅允许模糊限制语的使用,而且还依赖于它的使用体现表述的准确性、灵活性。     

Forecasting industrial production using structural time series models

Industrial production data series are volatile and often also cyclical. Hence, univariate time series models which allow for these features are expected to generate relatively accurate forecasts of industrial production. A particular class of unobservable components models — structural time series models — is used to generate forecasts of Austrian and German industrial production. A widely applied ARIMA model is used as a baseline for comparison. The empirical results show that the basic structural model generates more accurate forecasts than the ARIMA model when accuracy is measured in terms of size of error or directional change; and that the basic structural model forecasts better than the structural model with a cyclical component included on the basis of numerical measures, and tracking error for month-to-month changes.     

Nonparametric confidence and tolerance intervals from record values data

In a number of situations only observations that exceed or only those that fall below the current extreme value are recorded. Examples include meteorology, hydrology, athletic events and mining. Industrial stress testing is also an example in which only items that are weaker than all the observed items are destroyed. In this paper, it is shown that, how record values can be used to provide distribution-free confidence intervals for population quantiles and tolerance intervals. We provide some tables that help one choose the appropriate record values and present a numerical example. Also universal upper bounds for the expectation of the length of the confidence intervals are derived. The results may be of interest in situation where only record values are stored.     

Explained Variation and Predictive Accuracy in General Parametric Statistical Models: The Role of Model Misspecification

When studying a regression model measures of explained variation are used to assess the degree to which the covariates determine the outcome of interest. Measures of predictive accuracy are used to assess the accuracy of the predictions based on the covariates and the regression model. We give a detailed and general introduction to the two measures and the estimation procedures. The framework we set up allows for a study of the effect of misspecification on the quantities estimated. We also introduce a generalization to survival analysis.     

IS LOVE BLIND? THE EFFECTS OF EXPERIENCE AND INFATUATION ON THE PERCEPTION OF LOVE

We hypothesized that participants in love and more experienced in romantic love (e.g., schematics) would perceive love more accurately than those who were not in love and less experienced. Judges viewed and rated a series of 25 thin-slice video clips of couples for whom their love for another was known via Sternbergs (Psychological Review, 93, 119–135) love scale. Individual differences in love judgment accuracy were large. Not surprisingly, participants who were in love at the time of the study and who reported having had a lengthy romantic relationship were more confident in their love judgment accuracy but, in fact, were less accurate. Apparently the love schemas people develop subjectively may not adequately represent the way in which the construct manifests among the population in general. Although love judgments may come easier to those in love, their perceptions of the love around them may be biased and inaccurate.