Kristen Zannella, MathWorks
Richard Willey, MathWorks
Scientists in biotech and pharmaceutical research face a variety of challenges when analyzing data. Time and cost constraints often limit the amount of data that can be acquired. In many cases, the quality of the data makes it difficult to extract trends or estimate uncertainty. Sometimes there is too much data and identifying the most significant explanatory variables can be troublesome. Specifying which model best describes the data often requires a choice between competing models that initially appear to have similar goodness-of-fit measures.
Computational statistics provides a variety of applied quantitative methods that help solve these challenges including:
This webinar highlights how the interactive analysis tools in MATLAB®, Statistics and Machine Learning Toolbox™, and Curve Fitting Toolbox™ support computational statistics.
Previous knowledge of MATLAB is not required for this webinar.
Recorded: 7 May 2009
You are already signed in to your MathWorks Account. Please press the "Submit" button to complete the process.
Select a Web Site
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .Select web site
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.