nav[aria-label="Primary Navigation"] { padding: 0; & ul { list-style: none; width: 100%; display: flex; flex-direction: row; justify-content: start; align-items: start; gap: 30px; padding: 0; & li { margin: 0; } & ul li { list-style: none; } } }

Discovery Summit Munich 2020 Presentations

Recent Discussions

Biological Products and Stability : Linear and Nonlinear Modeling (2020-EU-30MP-471)
Level: Intermediate Thomas Brisset, Stability Platform Manager, Stallergenes Greer Stability studies are a key part of pharmaceutical product development. They help justify shelf and storage conditions. By using a stability data modeling approach, the laboratory can characterize its product and perform shelf life…
Calculating Nonparametric Tolerance Intervals for Small Sample Sizes (2020-EU-30MP-343)
Level: Advanced Oliver Thunich, Consultant, STATCON GmbH In industry production, tolerance intervals are widely used to determine the quality of a process.The commonly used tolerance intervals, however, assume normal distribution of the data, which is problematic for many processes. Following a request of a client, we came…
Using FDE and DOE to Help Build Predictive Models for Spectral Data (2020-EU-30MP-410)
Level: Intermediate Bill Worley, JMP Senior Global Enablement Engineer, SAS In the recent past Partial Least Squares (PLS) has been used to build predictive models for spectral data. A newer approach using Functional Data Explorer (FDE) and Covariate Design of Experiments (DOE) will be shown that will allow for fewer…
Making Your Forecast Faster and Easier: Introducing New Time Series Forecast Platform in JMP(R) 15 (2020-EU-45MP-390)
Level: Intermediate Peng Liu, PhD, JMP Principal Research Statistician Developer, SAS Jian Cao, PhD, JMP Principal Systems Engineer, SAS A new Time Series Forecast platform has been developed to enable users to build forecasting models for multiple time series easily and fast. In comparison to the conventional univariate…
Using the Functional Data Explorer to Combine Online With Offline Data for Statistical Analysis
The ability to explore the knowledge behind data will be an important strategic asset in the future. For offline data, statistical analysis are well established and are used extensively. The statistical analysis of online data and its correlation to the respective offline data is highly complex. However, the implementation…
Using REST API Through HTTP Request and JMP Maps to Understand German Brewery Density (2020-EU-EPO-388)
Level: Intermediate Alexa Baltazar, JMP Data Scientist, JMP Andy Zhou, JMP Technical Intern, SAS Did you know that there are approximately 1,300 breweries in Germany producing over 5,000 brands of beer? With enough beer options to drink a different German beer every day for 15 years, we want to use JMP to understand the…
The Role of Perception in Statistics-Based Decisions (2020-EU-45MP-367)
Level: Beginner Bryan Fricke, JMP Principal Software Developer, SAS JMP is a powerful tool for generating statistical reports for evaluation by decision makers. However, when it comes to preparing reports, accuracy and comprehensibility are only part of the story. For example, psychologists Amos Tversky and Daniel Kahneman…
Pictures From the Gallery 5: Select Advanced Graph Builder Views (2020-EU-45MP-320)
Level: Beginner Job Function: Analyst / Scientist / Engineer Scott Lee Wise, Senior Manager, JMP Education Team, SAS Intro Video: Click Here First Main Presentation Video: Click Here Next The Pictures From the Gallery 5: A picture is said to be worth a thousand words, and the visuals that can be created in JMP Graph…
The Art of Statistics - Spiegelhalter
The Art of Statistics Sir David Spiegelhalter Winton Professor of the Public Understanding of Risk, University of Cambridge David Spiegelhalter's most recent book is The Art of Statistics: How to Learn from Data.
Thank You to the Discovery Summit Munich Steering Committee!

Welcome!

It looks like you're new here. Sign in or register to get started.