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Identifying which process parameters to keep and which ones to drop is a tricky business. Some processes have few straightforward parameters. Others have countless parameters and the potential effects of multicollinearity. Attend this webinar and you’ll learn how to analyze multivariate variables simultaneously and start making more informed decisions right away.
Updated with the latest multivariate analysis techniques, this webinar will start with a review of foundational concepts and then move on to new tools, methodologies and applications in the rapidly changing world of data analysis. You’ll learn how to analyze multiple variables simultaneously and identify patterns, trends and correlations you might miss when looking at individual parameters separately. You’ll gain new insights that will enable you to tackle a wide range of problems to improve process optimization, quality control, risk management, product development, market analysis and more.
You’ll leave prepared to adapt to the evolving areas of data analytics, data analysis software, statistical modeling, process analysis and beyond and make contributions that improve your organization’s performance and competitiveness.
You’ll learn how to:
• Identify the key predictors
• Differentiate between correlation and collinearity
• Perform statistical multivariate analysis
• Use penalized estimation techniques
Sponsored webinars bring technical information from reputable firms and suppliers to AIChE members. The content reflects the views, opinions, and recommendations of the sponsoring organization. AIChE does not warrant or represent, expressly or by implication, the correctness or accuracy of the content of the information presented. As between (1) the AIChE, the presenter and author(s) of this work, their employers, and their employers' officers and directors, and (2) the user/viewer of this work, the user/viewer accepts any legal liability or responsibility whatsoever for the consequence of its use or misuse. Contact information for attendees of this webinar, including email address, will be shared with the sponsoring firm. You will always have the opportunity to unsubscribe from email from that organization.
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