High correlation in predictor variables can harm your linear regression model. This problem is called collinearity or multi-collinearity. The first video is an overview of collinearity, how to understand it, how to detect it, how it is related to the VIF (Variance Inflation Factor) shown in JMP reports and how to interpret VIF. The second video shows how to use Principal Components Analysis to b...
Di_Michelson
This series of videos covers reliability analysis of repairable systems. You'll learn about descriptive and inferential statistics for reliability using both the Recurrence and Reliability Growth platforms in JMP. Knowledge of measuring lifetime of components (non-repairable system reliability) is a prerequisite. Follow along with the demonstration videos using the data in the attached JMP journ...
Di_Michelson
This workshop was presented at Discovery Summit Americas 2023 and Discovery Summit Europe 2024. There are nine videos in this deeper dive, both lecture and JMP demonstrations. You can view these in order or pick and choose which videos to watch. The attached journal contains the data tables needed for you to follow along with the demonstrations. Basic modeling (06:32)Demonstration: Oneway ANOVA wi...
Di_Michelson
A Wavelet model is a type of basis function model that is useful for data that contain a lot of peaks. This option requires data to be on an evenly spaced grid. If data is not evenly spaced, a grid is automatically created before the wavelet routine. JMP Pro Functional Data Explorer handles and creates reports for Wavelet models. See how Wavelet models work, and why they work so well for modeli...
Di_Michelson
All of the model fits in the JMP Pro Functional Data Explorer platform rely on basis function expansion, a method for capturing non-linear relationships using a set of independent functions. See how basis function models work for modeling functional data. The videos cover: B-Splines - Fits a basis spline (B-Spline) model to the data. Use the B-Spline model for non-periodic data.P-Splines - Fits a...
Di_Michelson
Likelihood is seen in many places in JMP reports. But, what does it mean? These videos introduce the likelihood function, and then show how JMP uses the likelihood function for estimation, inference and model comparison. The Likelihood Function (8:33)Maximum Likelihood Estimation (8:44) Likelihood Ratio Tests (9:56) Model Comparison (8:08)
Di_Michelson
Stability analysis and shelf life estimation are common tasks in the pharmaceutical and biotechnology industries. It is a form of degradation analysis. This series illustrates how JMP can be used to set or check shelf life for a number of common situations. ICH Q1E Stability analysis using the Degradation platform (3:05)ICH Q1E Stability analysis using the Fit Model platform (4:05)Multifactor st...
DonMcCormack
(view in My Videos) Additional resources: Understanding and Modeling Response CurvesA Deeper Dive into Basis Function Expansion Models for Functional Data AnalysisA Deeper Dive into Wavelet Models for Functional Data Analysis
DonMcCormack
Unlock the Power of Python Integration in JMP® 18 Welcome to the world of JMP 18, where one of the standout features is the enhanced Python integration capabilities. This article is designed to help you understand the value of this powerful tool, along with offering best practices for maximizing its benefits in your data analysis workflows. What Does Python Integration Mean in JMP? (view in My ...
Brad_Norris
JMP visually and interactively performs advanced statistical analysis, predictive models, design of experiments (DOE), quality and process control, and more to help organizations understand and leverage their data. In this video I cover how to manage connections with JMP Live.
ryandewitt
(view in My Videos) Additional Reliability Resources Life Distribution Blog Post Reliability Club
DonMcCormack
To change the format of values and their confidence intervals in Prediction Profilers, change the format of the response column in the associated data table. In a data table, right-click the response column and select Column Info.Change the format and click OK.Run the Prediction Profiler report. In the examples below, the initial format is updated from Best, Width 10 to Fixed Dec, Width 10 Dec 2 (...
ruthhummel
The enhanced log shows summary information in an interactive table and scripting details in a text pane. To open the log, select View > Log (Windows) or Window > Log (macOS). Tip: If you do not see the enhanced log, check the mode setting under Preferences > Log. Enhanced Log This log shows that the following actions were performed: The Nicardipine Lab Patterns.jmp data table was openedA column na...
ruthhummel
Create a new column that contains a value for selected and deselected rows. In this example, the height column contains the measured heights (in inches) of students in a study. Heights over 60 inches are considered tall, and heights below 60 inches are considered short. You can select the tall data in a report and then create a new column that assigns a value of Tall to the selected students and...
ruthhummel
Al colocar sus informes en un navegador, usted puede compartir sus resultados con cualquier persona, incluso si ellos no tienen JMP. Aprender más
gail_massari
Aprenda a guardar scripts en una tabla de datos y como exportar a Excel o PowerPoint. Aprender más
gail_massari
Obtenga una imagen completa utilizando el flujo de trabajo completo para crear paneles de control de manera rápida y sencilla. Aprender más
gail_massari
Una vez que aprenda a construir mejores modelos, utilice el perfilador de predicción de JMP para compararlos y contrastarlos. Aprender más
gail_massari
Familiarícese con el menú del triángulo rojo, vea cómo se vinculan los gráficos y las tablas de datos y descubra cómo seleccionar puntos para ocultar/excluir. Aprender más
gail_massari