![]() JMP reliability tools are designed to assist engineers, researchers, and managers to understand reliability data and system reliabilities easier and faster, whether the system studied is relatively simple or thoroughly complex. JMP has recognized that reliability, also known as “quality over time,” is crucial across the board, from consumer and industrial products to health care to defense systems. For many years, we have incorporated cutting-edge concepts that integrate robust statistical analysis with dynamic data visualization to help users immediately assess performance, spot trends and diagnose improvement opportunities, even in huge data sets. The state-of-the-art suite of tools in JMP for studying reliability is designed to enable organizations to provide superior products - a requirement for success in today’s arena of complex products and services. Leo Wright, JMP Principal Product Manager, SAS ![]() Peng Liu, JMP Principal Research Statistician Developer, SAS Examples will range from designed experiments to predictive modeling. We will review the variable selection techniques available within Genreg (forward selection, Lasso and more) and then look at how the platform makes these techniques easy to employ. #Joseph morgan sas jmp pro#The Generalized Regression ("Genreg") platform in JMP Pro enables you to do variable selection quickly, easily and interactively in a variety of settings (including least squares, logistic and Poisson regression). ![]() It is a crucial task that yields simpler models that generalize better to new data, but it does not have to be a difficult process. Variable selection is the process of selecting a subset of relevant variables or predictors to use in modeling the response. Variable Selection Made Easy Using the Generalized Regression Platform in JMP ® ProĬhris Gotwalt, JMP Director of Statistical Research and Development, SAS The ideas will be illustrated with examples that the instructor has collected over the past 10 years as he has worked with a wide cross section of JSL users. These include expression handling functions, xpath support, namespaces and others. This tutorial will focus on JSL constructs that can prove invaluable when developing efficient, robust, production-ready applications. Joseph Morgan, JMP Principal Research Statistician Developer, SAS Using JSL to Develop Efficient, Robust Applications You can sign up for tutorials when you register for the conference. #Joseph morgan sas jmp software#You’ll learn about some of the core tenets of JMP and see the software in action. Presented by JMP developers and members of the technical staff, these 90-minute tutorials are a rare opportunity for you to go in-depth on selected topics.
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