White Paper e Capitoli di Libri
-
Esplorare i minimi quadrati parziali con JMPI minimi quadrati parziali (PLS) sono una tecnica statistica flessibile applicabile a dati di qualsiasi forma.
-
I progetti Six Sigma diventano "Visual"Negli ultimi decenni, il programma Six Sigma ha sempre dato prova di essere il modello di riferimento incontrastato nel settore della gestione della qualità aziendale. Utilizzando un processo snello ma molto efficace per lavorare con i dati, Visual Six Sigma si differenzia dagli approcci di analisi più semplicistici, solitamente disponibili nei programmi Six Sigma, rendendo i risultati molto più rilevanti e appropriati rispetto alle situazioni reali.
-
- All Application Areas
- Academic
- Analisi statistica, modelli predittivi e data mining
- Analytical Application Development
- Creazione di dashboard
- Disegno di esperimenti (DOE)
- Life Sciences
- Ricerca sui consumatori e di mercato
- Tecnica della qualità, affidabilità e Six Sigma
- Visualizzazione e analisi esplorativa dei dati
-
Advantages of Bootstrap Forest for Yield AnalysisMaintain a high level of quality and control (in less time) with the bootstrap forest method. Here’s how!
-
Analyzing and Interpreting Continuous Data Using JMPDownload a complimentary chapter from Analyzing and Interpreting Continuous Data Using JMP by Brenda Ramirez and Jose Ramirez.
-
Building Better Models with JMP ProDiscover the “what, why and how” of neural networks through case studies, figures and exercises. Examples demonstrate how models are used for both classification and prediction across an array of applications.
-
Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order EffectsIntroducing….a class of economical three-level designs for screening quantitative factors.
-
Classification of Breast Cancer Cells Using JMPSee how the Wisconsin Breast Cancer Diagnostic Data Set is being used to classify malignant and benign tumors.
-
Component Integrated Importance: Modeling Complex Aging SystemsLearn about the two alternative methods that are better suited to evaluate aging systems.
-
Data Mining Techniques, Third EditionData Miners, Inc. co-founders explain how to create derived variables through a study on modeling customer attrition.
-
Definitive Screening Designs with Added Two-Level Categorical FactorsInventors of Definitive Screening designs share a new development in this reprint from the Journal of Quality Technology.
-
Detecting Fraud at the Clinical SiteOrganizations find a better way to protect participants in clinical trials. Learn the graphical and statistical approaches being used to identify site- and patient-perpetrated fraud.
-
Efficient Modeling & Simulation of Biological Warfare Using Innovative Design of Experiments MethodsSee how proven DOE methods can be used to model complex scenarios involving many variables – such as biological warfare attacks.
-
Evaluating the Measurement Process: A Better Way to Do Reliability & Reproducibility StudiesStatistician, author and quality expert Donald J. Wheeler, explains data collection strategy in the context of a basic EMP and gage R&D study.
-
Generating Adverse Event Narratives Using JMP ClinicalNew analytical process available to streamline the time-consuming task of creating patient narratives. Learn more about this function in JMP Clinical.
-
Implementing CDISC Using SAS: An End-to-End ApproachJMP Clinical automates the data review process for you. Learn about new built-in processes for evaluating patient demographics, constructing patient profiles and event narratives, summarizing adverse events and exploring and reviewing safety data.
-
Import and Analysis of Summarized Data from Sequencing Studies with JMP Genomics 5.1Analyze, visualize and discover hidden patterns within variant and count data. Learn how JMP Genomics provides tertiary statistical analysis for data generated from high-throughput sequencing studies.
-
Improving Processes with Statistical ModelsHow, when and where do I apply statistical modeling to a problem? Find out in these two real-world case studies.
-
Information Quality: The Potential of Data and Analytics to Generate Knowledge.New case studies: find out how Information Quality was used as a guide to predict water quality and control a film deposition process.
-
JMP Extensibility Synergy with MATLABLearn how to integrate JMP with MATLAB. Three case studies show how to best take advantage each tool's strengths.
-
Lean Data Analysis: Simplifying the Analysis and Presentation of Data for Manufacturing Process ImprovementPredict, analyze, improve and control the quality of your product with helpful tips in this article on data analysis maturity models.
-
Moving From Minitab to JMP: A Transition GuideA practitioner's review of JMP vs. Minitab: unearth two different approaches to common statistical techniques and principles.
-
Moving from SPSS to JMP: A Transition GuideSPSS vs. JMP: What are the key differences between these two data analysis tools?
-
Optimal Design of Experiments: A Case Study ApproachWhat is a blocked experiment? When is one used and how is it constructed? Find out in this case study.
-
Optimizing Pharmaceutical Production Processes Using Quality by Design MethodsGood news! Did you know that your quality by design goals can be derived in a straightforward way, the results can be easy to verify and that this method allows for further improvement of the processes without the need for re-registration? Find out more with this case study from pharma.
-
Optimizing Processes with Design of ExperimentsWhat is design of experiments (DOE), and how does it deliver value? Through a case study approach, this white paper answers these questions and more.
-
Predictive Analytics for the Eyes and MindWhat makes for great data visualization? Find out from expert Stephen Few, IT Innovator, Author and Prinicipal of Perceptual Edge.
-
Predictive Analytics Via Text MiningDownload a complimentary chapter about text mining for predictive analytics.
-
Problem Solving for New Engineers: What Every Engineering Manager Wants You to KnowDownload a complimentary chapter about the strategy and tools needed to solve problems through experimentation.
-
Risk-Based Monitoring and Fraud Detection in Clinical Trials Using JMP and SASCreate a centralized view of trial data to alert you to quality and safety issues with this introductory guide.
-
Risk-Based Monitoring of Clinical Trials Using JMP ClinicalClinicians discover a better way to protect the well-being of patients by reviewing trial data remotely.
-
SPC Data Visualization of Seasonal and Financial Data Using JMPVoila: how to access your Shewhart, CUSUM and moving average charts with a simple drag and drop interface.
-
Split-Plot Designs: What, Why, and HowLearn how to design and analyze split-plot experiments and why split-plot designs are often cheaper and more efficient than other methods.
-
Spreadsheets: Friend or Foe? A Best Practice Approach for Conducting Your What-if AnalysesThis paper highlights the inherent risks and compromises in using a spreadsheet tool like Excel to analyze data. There’s a better way!
-
Statistical Intervals: Confidence, Prediction, EnclosureThis paper uses a manufacturing example to describe the differences between confidence, prediction and tolerance intervals.
-
Statistics with JMP: Graphs, Descriptive Statistics and ProbabilityNeed a better understanding of basic statistical theory and its applications? Let Professors Peter Goos and David Meintrup be your guide! An overview of descriptive statistics for nominal, ordinal and quantitative data, with particular attention to graphical representations is provided.
-
Statistics with JMP: Hypothesis Tests, ANOVA and RegressionAnother great instruction guide by Professors Peter Goos and David Meintrup! This chapter specifically covers discrete and continuous random variables, with a focus on bivariate probability distributions and densities.
-
Survey Data Analysis: The FundamentalsNew case study demonstrates best practices for survey analysis in JMP (including tips for dealing with missing data).
-
Tap Into Unstructured DataThis white paper discusses ways to explore, analyze and use insights from unstructured text data.
-
The Improbability PrincipleDownload a complimentary chapter from David Hand's well-known book, The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day.
-
The JMP Design of Experiments AdvantageThis paper details the state-of-the-art DOE capabilities offered by JMP to help you tailor designs to your specific problem and resource limitations.
-
The State of Market ResearchWhat are the top two tools market researchers need to turn data into information through analysis? Find out in this chapter that outlines the state of market research.
-
Visual Six Sigma: Making Data Analysis LeanThis paper introduces the idea of "Visual Six Sigma," a practical, pragmatic and yes, visual approach to data analysis and process improvement.