1、机械消耗定额以一台机械工作8小时工作班为计量单位。 -机械连续工作24小时为3个台班停置24小时为停置1个台班 2、定额制定方法 机械一次循环正常延续时间A=循环组成部分正常延续时间之和机械纯工作1小时循环次数B=3600(60)/A

第一章绪论 第二章计量装置 第三章供送机构 第四章灌装机械 第五章袋装机械 第六章包机械 第七章卷封机械 第八章传动系统 第九章总体方案设计 第十章包装生产线 第十一章练习题

14.1 Restricted Least Squares (RLS) 1. OLS and RLS ()Unrestricted least squares(ULS) When using the ordinary least square method(OLS) to estimate the parameters, we do not put any prior constraint() or restriction(s) on the parameters. So we can estimate the parameters without any restrictions. This is ULS

12.1 The Nature of Autocorrelation 1. Definition (1) CLRM assumption: No autocorrelation exist in dishurbances ui; E(iμi)=0 Autocorrelation means: E(μiμ)≠0 (2) Autocorrelation is usually associated with time series data, but it can also occur in cross-sectional data, which is called spatial correlation

One of the CLRM assumptions is: there is no perfect multicollinearity-no exact linear relationships among explanatory variables, Xs, in a multiple regression. In practice, one rarely encounters perfect multicollinearity, but cases of near or very high multicollinearity where explanatory variables are approximately linearly related frequently arise in many applications

The models we discussed are models that are linear in parameters; variables Y and Xs do not necessarily have to be linear The price elasticity of demand~the log-linear models The rate of growth~semilog model Functional forms of regression models which are linear in parameters, but not necessarily linear in variables:

The Object of Hypothesis Testing To answer- How \good\ is the estimated regression line. How can we be sure that the estimated regression function (i.e., the SRF) is in fact a good estimator of the true PRF?

Statistical inference draws conclusions about a population [i.e., probability density function(DF)] from random sample that has supposedly been drawn from that population

2.1 SOME NOTATION 1. The Summation Notation X, =X1++...+n can be abbreviated as:Σx,orΣx 2. Properties of the Summation Operator

在上一章,为了得到投资者的最优投资组合,要求知道: 1、回报率均值向量 2、回报率方差-协方差矩阵 3、无风险利率 估计量和计算量随着证券种类的增加以指数级增加