Three Corrected Score Tests for Generalized Linear Models with Dispersion Covariates

We develop three corrected score tests for generalized linear models with dispersion covariates, thus generalizing the results of Cordeiro , Ferrari and Paula (1993) and Cribari-Neto and Ferrari (1995) . We present, in matrix notation, general formulae for the coefficients which define the corrected statistics. The formulae only require simple operations on matrices and can be used to obtain analytically closed-form corrections for score test statistics in a variety of special generalized linear models with dispersion covariates. They also have advantages for numerical purposes since our formulae are readily computable using a language supporting numerical linear algebra. Two examples, namely, iid sampling without covariates on the mean or dispersion parameter oand one-way classification models, are given. We also present some simulations where the three corrected tests perform better than the usual score test, the likelihood ratio test and its Bartlett corrected version. Finally, we present a numerical example for a data set discussed by Simonoff and Tsai (1994) .     

房地产泡沫问题研究

自1998年开始，我国住房制度改革逐步深入，特别是随着福利化分房的结束，住房商品化的开始，房地产业进入了持续快速发展的新时期。山东省房地产产业发展迅速，成为影响GDP增长的重要因素。但与此同时，房地产价格也连续快速攀升。本论文以济南市为例，在收集整理大量有关房地产泡沫资料的基础上，得出了自己对于济南房地产市场的判断：总体发展健康，但同时需要进一步加强防范措施避免泡沫的形成。     

中国移动运营市场竞争格局情景分析

中国的移动运营市场一直是中国移动(2000年前为中国电信)和联通两家的双寡头竞争格局.鉴于情景分析法的特点和移动运营市场面临的形势,对移动运营市场后3G时代的竞争格局分析适宜采用情景分析法来预测中国进入3G时代后移动运营市场的几种竞争格局.并可以对每种格局产生的可能性、途径以及各种情景所带来的后果进行详细的比对,这样对我国移动运营市场的健康良性发展可提供一些有益的决策参考.     

基于灰色系统理论的旅游客源预测模型--以中国入境旅游客源为例

本文基于灰色系统理论,以中国1978年以来入境客源为例,建构了旅游客源预测的灰色模型,并与常用的线性模型的预测精度进行了定量对比。所得基本结论为:①旅游系统是灰色系统,灰色系统理论是研究旅游现象的有力工具;②中国入境客源灰色GM(1,1)模型的预测精度高于线性模型;③就灰色预测而言,如果原始数据列较长(例如21年),对原始数据进行平滑处理所得预测模型精度较高,而对原始数据进行取自然对数的处理所得模型预测精度较低;如果原始数据列较短(例如5年),对原始数据进行取自然对数的预处理所得模型预测精度较高。本文所得结论对其他旅游序列预测应该具有一定的借鉴与参考价值。     

财务分析师盈宗预测精确度决定因素的实证分析

文章以2004-2005年的上市公司数据为样本，分析了我国财务分析师在预测上市公司未来盈余时影响其预测精确度的主要因素。研究发现，预测机构数量的增加、盈余可预测性以及信息披露质量的提高，将伴随着高的盈余预测精确度，而盈余波动程度越大、公司规模越大，预测的精确度则越低。同时，可预测性、盈余管理、盈余波动以及公司扩张速度对分析师的悲观预测有显著的影响，而可预测性、盈余管理以及公司规模则显著影响分析师对盈余的乐观估计。     

灰色预测算法在物流园区需求预测中的应用

对物流园区需求预测进行了系统分析,介绍了灰色预测算法,和物流园区腹地划分方法;结合连云港港口物流园区需求预测的实例进一步阐述了灰色预测算法在物流园区需求预测中的应用.     

中国石油产量的VERHULST模型的建立与分析

随着我国国民经济的快速发展,对能源的需求逐渐增大,尤其是对石油的需求逐年上升,石油的供应问题已成为普遍关注的问题。我国石油资源赋存条件差,石油增储难度大,大多数主力油田已进入中后期开采阶段,石油产量增产难度大。面对日益增加的石油需求,及时准确、科学地预测我国今后一段时期石油产量,对于制定石油需求和石油战略储备计划具有重要的现实意义。因此,根据我国石油产量变化特点,建立了Verhulst模型,经过检验,模型预测精度很高,并对2020年以前的石油产量进行了预测。     

Analysis and Forecast of the State of Environmental Protection in Russia

The main purpose of the present study is to analyse the emission dynamics of atmospheric and water pollutants in Russia and cost of their removal in the 1980s and early 1990s, and to forecast them by means of a Dynamic Input–Output Model according to different scenarios of future economic development till 1998. Main results of the work are:– methodological principles have been elaborated for singling out the environmental protection sector within the national economy;– a method has been offered for including the ecological block into a Dynamic Input–Output Model of the Russian economy;– a method of data preparation has been elaborated for the ecological block of the above-named model, the data base which characterizes the ecological situation in Russia has been formed and analysed;– calculations for 1994–1998 have been executed for forecasting the economic and ecological development of Russia using the above-mentioned model and the results obtained have been analysed. The results showed that if the existing tendencies towards low environmental protection capital costs remain the same, then the negative environmental impact will increase. In order to implement ecological programs and international agreements, to increase the proportion of removed pollutants, it is necessary to increase substantially expenditures on purifying water and air resources. The proportion of environmental protection investments in the total amount of the national economy capital costs should increase by up to 12–40% according to different scenarios of the economic development and different purposes of the environmental protection policy.     

Managerial judgment and forecast combination: An experimental study

This paper examines the role of managerial judgment in forming a final forecast, or judging the achievability of a critical level of sales, when multiple forecasts or opinions are available to the decision maker. Several factors that can help improve the quality of human intervention are identified and incorporated in a decision aid. Experimental results show that aided combination can help the decision maker exploit her relevant private information and mitigate the generally observed negative effects of human intervention. Further, the results suggest that emphasizing expected sales, even when the organization is primarily interested in go/no-go decisions, helps improve performance. Several suggestions for future research are presented.

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