Plenary: Tim Harford on The Art of Adapting
Tim Harford, The Undercover Economist “If at first you don’t succeed, try again.” We’re so often told to learn from our mistakes that it’s become a cliché....
Tim Harford, The Undercover Economist “If at first you don’t succeed, try again.” We’re so often told to learn from our mistakes that it’s become a cliché....
Level: Beginner
Job Function: Analyst / Scientist / Engineer
Scott Wise, JMP Global Enablement and Training Manager, SAS
If a picture is worth a thousand words, then the visuals that can be created in JMP Graph Builder could be considered fine art works with their powerful ability to convey compelling information to the viewer.
This journal presentation features how to build popular and captiva...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Scott Wise, JMP Global Enablement and Training Manager, SAS
With the increasing amount of warranty/performance data available, we have a golden opportunity to learn much more about our designs/products and come up with better reliability/maintainability models. However, this additional information often comes in the form of unstructure...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Per Vase, Managing Partner, NNE
Torben Bygvraa Rasmussen, Principal Consultant, NNE
Health authorities demand statistical assurance that batches after validation have sufficient quality. The Mixed Models platform in JMP can, from validation data, predict future batch performance using individual confidence intervals by setting batch as ...
Level: Beginner
Job Function: Analyst / Scientist / Engineer
Daniel Valente, JMP Senior Product Manager, SAS
Jon Weisz, JMP Senior VP of Sales and Marketing, SAS
JMP Public is a website for sharing JMP graphs, reports and dashboards. Prepare your reports in JMP 14.2 and publish them to JMP Public at public.jmp.com to share your results with the world. JMP Public offers the visual interactivity of JMP...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Markus Schafheutle, Associate Research Fellow, Chemometrics, allnex
Mahmoud Hammoud, JMP Senior Systems Engineer, SAS
Johann Billiani, R&D Group Leader for WB Topcoat Technology, allnex
Recent advances in processor technology have made possible the analysis of large amounts of free-form text data, which requires computationally intensive...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
John Salmon, Assistant Professor, Brigham Young University
JMP offers some exceptional visualization and scripting capabilities to teach students about topics outside of the typical statistical courses. This paper presents 10 tools used in mechanical engineering lectures to help students understand and explore course material from sy...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Robert Reul, Managing Director, Isometric Solutions
This work sheds light on the importance of latent drivers addressing both how consumer choices can inform business choices and how latent drivers can inform marketing strategy. In our study, a smart home security provider is competing in a crowded marketplace against both highly estab...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Philip Ramsey, Owner and Professor, North Haven Group and University of New Hampshire
Best Contributed Paper Finalist
Although important to process/product development or improvement, constrained mixture and mixture process experiments have been challenging to analyze due to large effect correlations caused by regional and linear c...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Milo Page, JMP Research Statistician Developer, SAS
JMP Pro 14 includes a new Automated Data Imputation (ADI) utility, a versatile, empirically tuned, streaming, missing data imputation method. We recommend it for handling missing data as a pre-processing step to predictive model fitting. It empirically tunes to your data set to extrac...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Martin Owen, Consultant, Insight by Design
This presentation shows how we have applied Quality by Design principles to assess risk, identify potential failure modes and determine a control strategy. We are doing this to optimize the continuous manufacture of a hot-melt extrusion process to produce medicines. Previously we have shown ho...
Level: Beginner
Job Function: Analyst / Scientist / Engineer
Mike Muhlada, JMP Senior Test Engineer, SAS
Audrey Shull, JMP Senior Testing Manager
This demo will use examples to explain Formula Editor mechanics, to investigate and fix common errors, and to solidify best practices and useful tricks for formula creation. A detailed walk-through will cover various aspects of the formula builder, includin...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Somaieh Mohammadi, Process Statistician, Fujifilm Diosynth Biotechnologies
The demand of high-throughput approaches in biopharmaceutical for process development are increasing. Development of a robust biopharmaceutical manufacturing process plays an important role in early phase development, which leads to a shorter time scale for anti...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Kelci Miclaus, Senior Manager Advanced Analytics R&D, JMP Life Sciences, SAS
Valérie Nedbal, JMP Senior Systems Engineer, SAS
The latest JMP Clinical version 7.0 was released in fall of 2018. JMP Clinical is a vertical solution leveraging JMP capabilities and an extensive JSL infrastructure to create a customized interface for clinical ...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
William Q. Meeker, Distinguished Professor of Statistics, Iowa State University
Christopher Gotwalt, JMP, Director of Statistical Research and Development, SAS
The development of theory and application of Monte Carlo Markov Chain methods, vast improvements in computationally capabilities and emerging software alternatives, especially ...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Kathryn Haydon, Student, University of Arkansas,
Andy Mauromoustakos, Professor, University of Arkansas
JMP Text Explorer is a very powerful, hands-on tool that can be used to gain insights from unstructured text data and can tell stories in a quantitative way. In this presentation, we will introduce a rich data set of rice recipes fo...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Peng Liu, JMP Principal Research Statistician Developer, SAS
Leo Wright, JMP Principal Product Manager, SAS
Repairable Systems Simulation (RSS) is a new addition to JMP reliability engineering capabilities. RSS is designed to solve both simple and very sophisticated problems. The innovative graphical user interface of the platform offer...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Laura Lancaster, JMP Principal Research Statistician Developer, SAS
In this age of big data and complex manufacturing there is often an enormous amount of process data that regularly needs to be monitored and analyzed to maintain or improve quality. It can be difficult for analysts to keep up with the demands of monitoring so much data...
Level: Beginner
Job Function: Analyst / Scientist / Engineer
Bradley Jones, JMP Distinguished Research Fellow, SAS
Designed experimentation is the best way to learn about industrial processes. But, in the long history of the design of experiments, most experimenters learned methods that focused on conforming the experiment to classical designs. The need to understand these constraints limited the nu...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Lasse Hylleberg, Mechanical Design Engineer, Coloplast
This paper presents a study on how prototyping and design of experiments principles can be applied in the early stages of product development. We explore how four design parameters affect the perceived desirability of a physical alarm device development by a small startup company. ...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Laura Higgins, JMP Global Technical Enablement Engineer, SAS
The world is full of unstructured text, and most of it goes unexplored. To further complicate this, extracting meaning and value from text required special tools until recently. Text Explorer in JMP Pro has many powerful options for bringing insight into text data and using t...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Troy Hickey, Senior Yield Engineer, Intel Ireland
Best Contributed Paper Finalist
For many, JMP is the critical, first-line tool for data analysis and visualization. JSL, its companion programming language, is sometimes used in conjunction with JMP to assist in standardizing analysis, automating repetitive tasks and generating cons...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Peter Hersh, JMP Senior Systems Engineer, SAS
One of the marquee features in JMP Pro 14 is the Functional Data Explorer (FDE). But what is "functional data" and how exactly do we "explore" it? Functional data is everywhere. It takes the form of sensor data, transactional data, chemical spectra – the list goes on. The common thread is t...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Anne Hasted, Senior Consultant, Qi Statistics
As members of European Sensory Network (ESN), we were fortunate to be able to access data from a large multinational survey investigating people's perceptions of well-being both in general and in relation to food and beauty products. We have used this data to compare the results obtained by...
Level: Intermediate
Job Function: Analyst / Scientist / Engineer
Drew Foglia, JMP Life Sciences Principal Software Developer, SAS
Evan McCorkle, JMP Software Developer
From reproducing simple tasks to automating daily processes to sharing scripts with colleagues to deploying full applications across your organization, challenges exist at every level that can limit the efficiency and reliability of yo...