1. Decentralized computing, also known as decentralized computing, allocates hardware and software resources to each indivial workstation or office. In contrast, centralized computing exists when most functions are performed, or is obtained from remote centralized locations. Distributed computing is a trend in modern business environment. This is contrary to the centralized computing popular in the early days of computer. The distributed computer system has many advantages over the traditional centralized network. The development of desktop computers is so rapid that their potential performance far exceeds the requirements of most commercial applications. This causes most desktop computers to remain idle (relative to their full potential). Decentralized systems can use the potential of these systems to maximize efficiency.
2. According to Hou Jietai: the so-called centralization refers to subtracting the mean value of a variable from its expected value. For sample data, each observation value of a variable is subtracted from the sample average value of the variable, and the transformed variable is centralized
for your question, subtract the mean from each measurement.
3. De flow means that all social resources can be aggregated and distributed with one click
in a system with many nodes, each node has a high degree of autonomy. Nodes can connect with each other freely to form a new connection unit. Any node may become the stage center, but it does not have the mandatory central control function. The influence between nodes will form a nonlinear causal relationship through the network
This kind of open, flat and equal system phenomenon or structure is called decentralization
extended materials:
compared with the previous Internet (WEB 1.0) era, today's Internet (Web 2.0) content is no longer proced by professional websites or specific groups, but by the participation of the whole Internet users and the creation of equal power levels. Anyone can express their views on the Internet or create original content to proce information together
with the diversification of network service shape, the decentralized network model becomes more and more clear and possible. After the rise of Web2.0, the services provided by Wikipedia, Flickr, blogger and other network service providers are decentralized. Any participant can submit content, and Internet users can create or contribute content together
4. Centralization is to subtract the mean and Z-score is to divide it by the standard deviation. Both of them are centralization methods.
5. Yes, subtract the mean value of the cases corresponding to the project
and then use the data after centralization to do regression, instead of centralization and aggregation
6. Look what level you're going to be... If you are a novice, you should first use the lowest level of digging, which is also the same. You go to the tool vendor to buy a stone mine hoe, and then dig by yourself. When you dig to a star on the mine hoe, you can upgrade Every upgraded tool can be upgraded only when it reaches the star level; Finished proct: Excavator T800; Raw materials: Stone 4, iron 2, hemp rope 1, stone hoe 1
7. Suppose there are four quarters in 2000, and the sales volume of a commodity is 25, 32, 37 and 26. In 2001, they were 30, 38, 42 and 30 respectively. Then its CMA = the average of the first four quarters (25 + 32 + 37 + 26) / 4 plus the average of the next four quarters (32 + 37 + 26 + 30) / 4. Finally, the above values can be averaged, and the calculation method of the other quarters' CMA is consistent with it. There is no CMA for the first two quarters of the year starting from the fourth quarter, and there is no CMA for the second two quarters of the last year.
8. You can calculate the average of dimensions, combine multiple items into one dimension, and then conct correlation analysis
according to the questionnaire data, several questions represent one dimension at the same time. For example, if you want to combine the two questions of "I can get a sense of achievement in my work" and "I can play my personal talents in my work" into one dimension (influencing factors), you can calculate the mean value through the [generate variables] function of spssau, and generate new variables for subsequent analysis
correlation analysis
