The Unscrambler | 化學(xué)計(jì)量學(xué)軟件
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產(chǎn)品型號：-
產(chǎn)品代碼：001
產(chǎn)品價(jià)格：面議
產(chǎn)品編碼：001
計(jì)量單位：套
折 扣 率： 0
最后更新：2017-08-10
關(guān) 注 度：3653
生產(chǎn)企業(yè)：北京環(huán)中睿馳科技有限公司
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產(chǎn)品詳細(xì)介紹The Unscrambler化學(xué)計(jì)量學(xué)軟件符合美國FDA 21 CFR PART 11 標(biāo)準(zhǔn), 當(dāng)今世界上已經(jīng)有3000個公司,
300所大學(xué)以及分布在47個國家的25000個用戶,正在使用該軟件從事他們的研究工作。
The Unscrambler X10.5 是CAMO公司今年剛推出的最新產(chǎn)品，她的安全簽字確認(rèn)功能是過去版本的軟件所不能夠給予的。
為那些授權(quán)發(fā)布檢測結(jié)果的政府職能機(jī)構(gòu)給予了電子簽名的便利及安全。
關(guān)于該軟件性能更詳細(xì)的介紹請參見下面的英文：最新版本The Unscrambler X version 10.5
它的應(yīng)用領(lǐng)域?yàn)椋?br/>Spectroscopy 光譜學(xué)
Chemometrics 化學(xué)計(jì)量學(xué)
Sensormetrics 傳感學(xué)
Quality Control 質(zhì)量控制
Process Analytical Technology 過程分析技術(shù)
Product Development 產(chǎn)品開發(fā)
常規(guī)應(yīng)用：
Exploratory Statistics 檢測數(shù)據(jù)統(tǒng)計(jì)
Regression Analysis 數(shù)據(jù)回歸分析
Design of Experiments 實(shí)驗(yàn)設(shè)計(jì)
Data Pretreatments 數(shù)據(jù)預(yù)處理
Classification 數(shù)據(jù)分類
主要特點(diǎn)：
The Unscrambler 是一個完善的多變量分析及實(shí)驗(yàn)設(shè)計(jì)軟件,該軟件備有強(qiáng)大功能的數(shù)據(jù)處理方法，
諸如：PCA，MCR，PLS，SIMCA 以及 PLSDA等等。
在近紅外光譜分析中，化學(xué)計(jì)量學(xué)分析軟件是必不可少的組成部分。
她通過解析物質(zhì)成分含量與復(fù)合光譜信息中的吸收對應(yīng)關(guān)系，完成模型建立，從而解決了從大量的復(fù)合光譜信息中提取物質(zhì)成分要素的問題。
最新版本The Unscrambler X version 10.3
軟件功能介紹
The Unscrambler X has set the standard in multivariate analysis (MVA) and design of experiments software for over 25 years.
It is the preferred tool for thousands of data analysts,
researchers and engineers around the world who need to analyze large and complex data sets quickly,
easily and accurately using the power of multivariate analysis.
The Unscrambler X version 10.2 is optimized for even greater usability, security and reliability,
with several new analytical methods and data import options.
The new version gives users the power of multivariate data analysis and interactive data visualization in an easy to use program.
Powerful analytical tools
Advanced regression and classification methods, exploratory data analysis tools, predictive modelling,
extensive data pre-processing options as well as descriptive statistics & tests.
Outstanding data visualization
Interactive data visualization and graphics let you drill-down to individual data points.
Zoom and rotate charts to see your data from different perspectives. Draw lines or add comments to your graphs.
Easy data importing
Drag & drop your data directly from Excel, with an option to preview it in the software.
The program also accepts data from a wide range of analytical instruments and process equipment.
Intutive and user-friendly
The intuitive user-interface makes it easy to navigate, and project-based workflows keep all related data sets,
results and graphs together so it’s easy to find the information you need quickly.
An Interpolation function has been added to Tasks - Transform.
A new algorithm for Quantile Normalization has been added to Tasks - Transform.
Mean, Min and Max plots have been added to Tasks - Descriptive Statistics for better data visualization.
Validation scores and leverages have been added to PCA, PCR and PLS.
Inclusion of validation residuals added to PCR, PLS and MLR.
Support Vector Machine Regression (SVMR) has been added to the Tasks - Analyze menu.
Prediction using SVMR models is now provided in the Tasks - Predict menu.
Contingency Analysis has been added to Tasks - Analyze - Statistical Tests.
Plots have been added to the analysis node of Linear Discriminant Analysis and Support Vector Machine Classification
Compliance Mode has been added as an installation option for
those organizations that must meet the requirements of electronic signature and records handling.
Block Weighting has been added as a new weighting option in the dialog boxes of PCA, MLR, PCR, PLS, SVMR,
LDA, L-PLS, SVMC and is also available as an option in Tasks - Transform - Weights.
Q-Residuals are now available at 6 levels of significance.
The Discard Residuals option has been added to PCA, PCR and PLS to help reduce the size of the models by
removing the large 3-D matrices associated with X-residuals.
The Search option in Help has been optimized to include the following search features,
Match All
Match Any
Match Exact
Q-Residuals are now available for analyses performed using the NIPALS algorithm.
A function to show the Support Vectors is available for plots in SVMC and SVMR.
Blocking of Designs has been added to Full Factorial designs in the DoE module.
Inclusion of up to 35 design variables in Plackett-Burman designs
Design, response, and non-controllable variables are given in the same table for easier analysis
What′s new in The Unscrambler® X version 10.3
The following briefly describe the new features in version 10.3.
Design of Experiments
- A completely new response surface plotting module with high resolution,
fast graphics rendering and improved plotting controls for graphical optimization.
- A new D-optimal design module with option to augment design with space-filling points (more robust).
- Re-introduction of PLS-DoE and more design information displayed in ‘Tasks – Analyze – Analyze Design Matrix’ to help you find the best method for your data.
New methods
- Basic ATR correction of absorbance transformed spectra included under ′Tasks – Transform – Spectroscopic…′
- Introduced Double Kennard-Stone sample selection for PLSR, PCR and PCA
Plotting
- Plot settings in ′Tools – Options – Viewer′ can be used to change the default appearance of plots.
- New plots and plot layouts for Residuals and Influence plots in PCA, PCR, PLSR and Projection, including F-residuals with limits.
- Point labeling using value of any matching variable (Sample Grouping)
General
- ASCII file import with default list separator based on system settings.
- New Alarms tab in analysis dialogs of PCA, MLR, PCR and PLSR and right-click option for setting alarm limits in the project navigator
(these limits are applied for online prediction using some of our prediction engines).
- New dialog for assigning Scalar/Vector tags as well as units
(′Edit – Scalar and Vector′ in editor mode or right-click option in project navigator).
This information is used for collecting data from various sources during online monitoring of processes.
- General enhancements and bugfixes. |
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| 會員級別：免費(fèi)會員 |
| 加入時(shí)間：2017-07-31
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