统计预测 meaning in Chinese
statistical forecasting
statistical prediction
Examples
- Therefore , it is provided with theoretic importance and praxis significance to research on it . the contents of the thesis including in the following : on the related theories ; on comparing the different modes of the entrepreneurship marketization , the paper brings forward four modes of the entrepreneurship marketization , and evaluates the degree of four modes of the entrepreneurship marketization with fussy evaluation ; on measuring the entrepreneurship marketization , a multilevel indexes system is designed and mathematic models are constructed ; and a mathematic model is used to measure the courses of the china ' s entrepreneurship marketization . based on researching measuring the entrepreneurship marketization , the paper presents one kind of selecting function in the entrepreneur market , generalizes kinds of marketing signals in selecting the entrepreneur , then a mathematic model about selecting an entrepreneur is constructed
论文研究的主要内容包括对企业家市场化的相关理论研究；企业家市场化的比较研究，文中提出企业家市场化的四种模式，运用模糊评价法对企业家市场的四种模式的市场化程度进行了评价；企业家市场化测度的研究，论文构建了企业家市场化进程测度指标体系，构建了企业家市场化测度的数学模型，并运用该模型对我国企业家市场化进程进行了测度；在对企业家市场化测度问题研究的基础上，论文给出了一种企业家市场选择函数，归纳出了企业家市场选择的信号，并给出了选择企业家过程数学模型；论文利用统计预测的相关理论对企业家需求、企业家供给以企业家价格间关系进行了定量的研究。 - It overcomes the disadvantages that orthodox analyzing method wants a great deal of stylebook to ensure probability distributing , big calculation , and ignoring fuzzy effective factor , and that different nonlinear total cost curves need to find different statistical forecasting model
克服了传统分析方法需要大样本量，确定概率分布、计算量大、不考虑模糊影响因素的缺点。克服了不同的非线性总成本曲线需要寻求不同的统计预测模型的缺点，通过累加生成技术，将非线性总成本问题统一到gm （ l ）模型上。 - It is the result of applying the system - distinguished method out of controlling theory to prediction . spurning the stationary parameter prediction model , the multiplayer - transfer method regards the predicted variable as a random , dynamic , time - changing system . it decomposes the time - changing status variable prediction into two steps : first , predicting the time - changing parameters ; second , on the basis of the first step , predicting the system status variable
多层递阶方法摒弃了一般统计预测方法中所使用的固定参数预测模型，而将预测对象看成是随机动态的时变系统，把时变系统的状态预测分离成为对时变参数的预测和在此基础上对系统状态的预测两部分，对时变参数的预测导致状态预测误差的减小。