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Home : Business : Applications
DRS
DRS Details:
| Publisher:
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AiHua Computer Studio |
| Version:
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2008 |
| License:
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Data Only |
| Price:
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$108.00 |
| Operating Systems:
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WinXP,Windows2000,WinNT,WinME,Win98,Win95 |
| File Size:
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1.85 MB |
| Total Views:
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215 |
| Total Downloads:
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0 |
| Rating:
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 (5 out of 5 Stars) |
| Release Date:
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12/8/2007 |
| Last Update:
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5/12/2008 |
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Screenshot:
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Please click to display full view of
DRS screenshot.
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DRS Short Description:
New method of data regression analysis.
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DRS Long Description:
People will obtain many relating data of two or more than two dimension during experiments and production. These data will help them to solve problems of reality on contrary, which need data processing to make them become mathematicalematical model reflecting the data variation regulation. The application of the Least Square Method can only make linear regression, but to the nonlinear problems it must construct relating mathematicalematical relationship expression, namely mechanism model through procedure supposing to do linearization processing of mechanism model and then do regression modeling computation. Some relating data of the recursive models are good, but the data of reality are changeable, some deduce mechanism models. After the linear process the correlation property of the regression model is not good, and some relating data even can't deduce in the mechanism model. It is even more harder to build mathematicalematical models.
Least Cubic Method solves problems that Least Square Method Data Regression met in the regression of relating data. Since the computers are widely used and applied in experiment, designing and production, it makes the regression computation based on the theory of least Cubic method into reality. People can not only process the mechanism model through the regression linearization processing better, but can also give a sound mathematicalematical model to the relating data which can't deduce a mechanism models.
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DRS Keywords:
Least Square Method, Least Cubic Method, data regression analysis, data
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