用AUTOLISP实现分马力电机可变尺寸图形的绘制

AUTO LISP 是嵌套在 AUTO CAD 绘图软件包中的一种功能很强的智能语言,可在绘图软件包环境下直接运行,是一种很适合绘制“可变尺寸图形”的方法。本文详细地研究了 AUTO LISP 源程序编制、在系统状态下编辑程序和在 HCAD 状态下绘图等内容。对 AUTO CAD 的开发应用具有重要作用。     

财政支出拉动经济增长的惯性分析

经济量通常存在着一定的惯性，与物体的惯性不同，这是由外部变量的累计影响作用产生的由于财政支出对国民经济的增长有着积极的作用，而财政支出又有着比较强的滞后性，本文在财政支出拉动GDP增长的理论下针对财政支出的扩张拉动GDP增长的惯性进行分析。     

A nonlinear long memory model, with an application to US unemployment

Two important empirical features of US unemployment are that shocks to the series seem rather persistent and that it seems to rise faster during recessions than that it falls during expansions. To jointly capture these features of long memory and nonlinearity, we put forward a new time series model and evaluate its empirical performance. We find that the model describes the data rather well and that it outperforms related competitive models on various measures of fit.     

The Dynamics of Self-Esteem and Physical Self: Between Preservation and Adaptation

The aim of this study was to model and characterize the psychologicalprocesses that underlie the dynamics of global self-esteem and physicalself over time. Twice a day for 228 consecutive days, seven participantscompleted a short inventory (PSI-6, Ninot et al., 2001) measuring sixsubjective dimensions: global self-esteem, physical self-worth, physicalcondition, sport competence, physical strength, and attractive body.Each series was modeled by means of ARIMA procedures. The resultsshowed that a simple moving average model provided a satisfactoryaccount for the dynamics of all series. This model suggests that acombination of two opposite processes underlies the dynamics ofself-concept: preservation, which tends to restore the previousvalue after a disturbance, and adaptation, which tends to inflectthe series in the direction of the perturbation.     

On the performance of the Chow-Lin procedure for quarterly interpolation of annual data: Some Monte-Carlo analysis

Most of the countries of the OECD offer quarterly estimates of their national growth or of their Gross National Product. Official Statistical Agencies in western countries have to deal with the problem of estimating Quarterly National Accounts series congruently with Annual National Accounts. In Spain, the Instituto Nacional de Estadística uses the Chow-Lin disaggregation method, which is based on information provided by a group of high-frequency related variables, to estimate the quarterly components of National Accounts from annual components. In this paper, we analyse the relative quality of the estimates obtained through the Chow-Lin procedure, under different sets of hypotheses.JEL Classification: C15, C43, M40We are grateful to Maria Amparo Ripoll for her assistance. The authors also wish to thank three anonymous referees and an editor for their constructive suggestions and comments. This research was partially made during the stay of the first author at the Universidad Carlos III de Madrid. It has been partially supported by the research project DGCYT PB98-1460.     

论税收的时效性

时效性是税收强制性在时间上的体现，是税法赋予的一种规定性，是国家财政收支及时稳定的重要保证，是依法治税的必然要求，是衡量税务机关征管水平的基本依据。不论是税收法治的严肃性，还是国家各项事业急需财政资金的现实，都迫切需求提高税收的时效性。及时有效地组织好财政收入。     

A note on the Robust Trend and ARARMA methodologies used in the M3 Competition

This brief note describes two of the forecasting methods used in the M3 Competition, Robust Trend and ARARMA. The origins of these methods are very different. Robust Trend was introduced to model the special features of some telecommunications time series. It was subsequently found to be competitive with Holt’s linear model for the more varied set of time series used in the M1 Competition. The ARARMA methodology was proposed by Parzen as a general time series modelling procedure, and can be thought of as an alternative to the ARIMA methodology of Box and Jenkins. This method was used in the M1 Competition and achieved the lowest mean absolute percentage error for longer forecasting horizons. These methods will be described in more detail and some comments on their use in the M3 Competition conclude this note.     

Mean squared error of the empirical best linear unbiased predictor in an orthogonal finite discrete spectrum linear regression model

The mean squared error (MSE) of the empirical best linear unbiased predictor in an orthogonal finite discrete spectrum linear regression model is derived and a comparison with the MSE of the best linear unbiased predictor in this model is made. It is shown that under weak conditions these two mean square errors are asymptotically the same.     

The asymmetry of judgemental confidence intervals in time series forecasting

In forecasting a time series, one may be asked to communicate the likely distribution of the future actual value, often expressed as a confidence interval. Whilst the accuracy (calibration) of these intervals has dominated most studies to date, this paper is concerned with other possible characteristics of the intervals. It reports a study in which the prevalence and determinants of the symmetry of judgemental confidence intervals in time series forecasting was examined. Most prior work has assumed that this interval is symmetrically placed around the forecast. However, this study shows that people generally estimate asymmetric confidence intervals where the forecast is not the midpoint of the estimated interval. Many of these intervals are grossly asymmetric. Results indicate that the placement of the forecast in relation to the last actual value of a time series is a major determinant of the direction and size of the asymmetry.     

Distance in time between transition economies and the European Union

The time distance methodology used offers a new perspective to the problem, an additional statistical measure, and a presentation tool for policy analysis and debate readily understood by policy makers, media and general public. Disparity between the analysed transition economies and EU countries is considerably smaller for other indicators than for GDP per capita. Compared with Ireland, Portugal and Greece Slovenia was in 1995 in 13 cases behind (but time lag of Slovenia never exceeded 10 years) and in 13 cases ahead of them. Sicherl (1997a) discusses application of S-distance to time series regressions, models, forecasting and monitoring. First version received: October 1995/final version received: April 1998