JMP Blog

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• Expert insights from Professor William Q. Meeker, part 2

  Reliability expert William Q. Meeker, Professor of Statistics and Distinguished Professor of Liberal Arts at Iowa State University, reflects on statistics and stat education with Chris Gotwalt. Statistics is at the core of disciplines seeking to make sense of data, says Prof. Meeker in his interview with Chris Gotwalt of JMP.

  anne_milley

  JMP Blog |

  Apr 8, 2025 6:24 AM

  1039 views | 0 replies
  

• Expert insights from Professor William Q. Meeker, part 3

  Reliability expert William Q. Meeker, Professor of Statistics and Distinguished Professor of Liberal Arts at Iowa State University, and Chris Gotwalt ponder the growing importance of Bayesian methods. Meeker discusses the growing importance of Bayesian methods and the scenarios in which a Bayesian approach is warranted.

  anne_milley

  JMP Blog |

  Apr 8, 2025 6:24 AM

  858 views | 0 replies
  

• Expert insights from Professor William Q. Meeker, part 4

  Reliability expert William Q. Meeker, Professor of Statistics and Distinguished Professor of Liberal Arts at Iowa State University, chats with Chris Gotwalt about his motivation to write this book. Meeker talks about writing a book on statistical intervals and an exchange he had with W. Edwards Deming.  

  anne_milley

  JMP Blog |

  Apr 8, 2025 6:24 AM

  1513 views | 3 replies
  

• Statistics celebrities Rob and Ryan Tibshirani share recent statistical innovations

  What do Multiview analysis and tracking and forecasting epidemics have in common? Two brilliant statisticians innovating new methods.  

  anne_milley

  JMP Blog |

  Apr 8, 2025 6:15 AM

  2093 views | 0 replies
  

• Data integrity challenges and solutions: Expert insights from Chandramouli Ramnarayanan

  Data integrity is essential for accurate predictive modeling, regulatory compliance, and business efficiency. I spoke with Chandramouli Ramnarayanan, Global Technical Enablement Engineer at JMP, about the biggest data challenges companies face and the best strategies for improving data quality. From statistical monitoring to design of experiments (DOE) and anomaly detection, Chandra shares expert ...

  carla_paquet1

  JMP Blog |

  Apr 3, 2025 11:00 AM

  1184 views | 0 replies
  

• 手機螢幕耐久性研究：跌落測試與統計分析揭示耐用性差異

  手機螢幕的耐用性對消費者和製造商至關重要。本研究透過跌落測試與統計分析，評估兩種鋁矽酸鹽玻璃螢幕的耐久性，探討是否達到97%成功率標準，並比較其性能差異。

  JMP_Taiwan

  JMP Blog |

  Mar 26, 2025 6:48 AM

  1056 views | 0 replies
  

• RUTF食品研發案例：使用混料設計實驗精準改善配方

  對食品研發來說，每一次實驗都可能浪費原料與時間。透過有系統的實驗設計與數據分析，這家公司做到了「用最少的試驗，得到最多的資訊」。

  JMP_Taiwan

  JMP Blog |

  Mar 26, 2025 6:48 AM

  1159 views | 1 replies
  

• JMP® Marketplace Feature: Analytics Maturity Assessment

  Adoption of analytics across teams is key to organizational growth. Evaluating progress toward this objective is critical to organizational alignment and efficiency. The free Analytics Maturity Assessment (AMA) helps organizations evaluate their progress by identifying: Analytic successes.Training opportunities.Potential gains in efficiency.New ways to standardize and automate processes.Analytic g...

  LandraRobertson

  JMP Blog |

  Mar 10, 2025 2:31 PM

  549 views | 0 replies
  

• JMP® Marketplace Feature: S3 Data Connector

  The JMP S3 Data Connector in the JMP® Marketplace uses JMP's powerful Python integration to provide seamless access to Amazon Web Services (AWS) S3. You can configure your AWS credentials within the data connector editor and quickly import files that are compatible with JMP and are hosted on Amazon S3 remote connections. This integration streamlines data retrieval processes, enhancing your workflo...

  LandraRobertson

  JMP Blog |

  Feb 19, 2025 6:07 PM

  526 views | 0 replies
  

• Accessing SAS using JMP 18, Python, and SASPy

  Using the scripting environment and a python package called SASPy, JMP 18 can interface with SAS instances, import data sets, export data sets, and run SAS code.

  chrishesser

  JMP Blog |

  Feb 19, 2025 6:00 AM

  1606 views | 0 replies
  

• 如何高效提升原物料建模效率、降低實驗成本？定量構效關係 (QSAR) 性能優化 4 步驟

  在化工或材料企業工作的你，如何有效提升新材料研發效率、降低實驗成本？透過QSAR方法，化工工程師可將多水準類別因子轉換為連續因子，並利用主成分分析減少變因數量，降低實驗次數與成本。結合JMP的Custom Design與PLS建模，可快速建立高效預測模型，優化材料選擇與製程設計。了解如何運用數據分析提升研發效率，探索更多實驗設計與建模技巧！

  JMP_Taiwan

  JMP Blog |

  Feb 18, 2025 5:00 PM

  1119 views | 0 replies
  

• Control de Procesos y Automatización del SPC con JMP Live: Una Guía Práctica

  Descubre cómo JMP y JMP Live pueden transformar la gestión de datos en tu empresa mediante la automatización del SPC y las alertas automáticas en gráficos de control.

  MarilynWheatley

  JMP Blog |

  Feb 18, 2025 5:58 AM

  818 views | 0 replies
  

• Eficiencia sin código: Automatiza con el Constructor de flujo de trabajo de JMP

  El constructor de flujo de trabajo de JMP permite grabar los pasos que se toman haciendo clic en la interfaz de JMP, para que el trabajo sea repetible, para que los pasos se puedan aplicar cuando hay datos nuevos, o el flujo de trabajo entero se puede compartir con otras personas.

  MarilynWheatley

  JMP Blog |

  Feb 11, 2025 1:22 PM

  987 views | 0 replies
  

• New features in JMP Clinical 18.1.2 and JMP Clinical 18.2

  JMP Clinical 18.1.2 (released on January. 21) and JMP Clinical 18.2 (which will be released in March) comes with several important features, including data quality reports, a configuration checking tool, autosaving and restoring the review builder templates.

  Valerie_Nedbal

  JMP Blog |

  Jan 22, 2025 9:53 AM

  1280 views | 0 replies
  

• 製造業品質提升指南：圖解FMEA失效模式分析與工具應用

  本篇文章深入探討如何運用JMP工具進行FMEA（失效模式與影響分析），有效管理製造業品質問題。了解多重回應、儲存格著色及Dashboard等功能如何助力品質分析與改進，讓失效分析更高效、更直觀。

  JMP_Taiwan

  JMP Blog |

  Jan 22, 2025 5:43 AM

  2701 views | 0 replies
  

• 從根本解決品質難題？解構製造業背後的品質控制秘密！

  深入解構製造業品質控制的挑戰與解決方案：從資料分析到製程優化，揭示如何利用數據分析工具解決製造業常遇到的品質管理與品質改善問題，提升產品穩定性與競爭力。

  JMP_Taiwan

  JMP Blog |

  Jan 14, 2025 5:00 PM

  1494 views | 0 replies
  

• JMP® Marketplace feature: Torch add-in

  The Torch Deep Learning add-in for JMP® Pro is a no-code interface to the PyTorch library for predictive modeling with deep neural networks. The add-in lets you train and deploy predictive models that use image, text, or tabular features as inputs to predict binary, continuous, or nominal targets.    A helpful feature of the add-in is its storybook, which offers example starting points for finding...

  russ_wolfinger

  JMP Blog |

  Jan 13, 2025 5:45 PM

  819 views | 0 replies
  

• From Picture to Data: Extracting graph data from a picture into a JMP Table for analysis

  Have you ever needed to import the data contained in an image of a graph into JMP? It turns out JMP can do this rather easily. Read on to find out how.  

  Jed_Campbell

  JMP Blog |

  Jan 9, 2025 10:58 AM

  2891 views | 3 replies
  

• Moving beyond one-factor-at-a-time (OFAT) testing

  In previous blog posts, we talked about breaking down one aspect of the testing challenge, dealing with multiple inputs as a designed experiment where we can start by focusing on one input at a time. A later blog post revisited the fundamental principles of factorial effects in designed experiments. Now, we’ll combine these ideas and discuss what we might want in designing an experiment to be used...

  Ryan_Lekivetz

  JMP Blog |

  Dec 12, 2024 10:03 AM

  1299 views | 0 replies
  

• 活动回顾 | JMP 走进华东师范大学，大话 DOE 实验设计的行业应用

  对于研究人员来说，掌握更高效的数据分析方法、使用数据思维解决难题可以达到事半功倍的效果。JMP 学术团队一直在为此不懈努力。11月19日，JMP 应邀走进华东师范大学，携带丰富的行业应用案例，为华师大的师生们呈现了精彩的DOE案例分享。     JMP 数据分析顾问 Jacky Zhang 老师从理论出发，结合生动的行业应用案例，详细讲解了 DOE在多个领域的广泛应用。通过咖啡店经营管理、芯片制造行业产率分析、教育行业真实实验过程等多个实例，Jacky Zhang 老师从不同角度阐释了该技术在实际操作中的价值与应用。     部分学生表示，这些案例不仅通俗易懂，更让他们深刻认识到所学知识的重要性。   此次活动充分展示了如何将学术知识与实际应用紧密结合，帮助同学们了解日常所学知识如何推动实际业务发展。同时，也为同学们启发了就业方向与个人发展的潜力领域。  

  Jing-APxJ

  JMP Blog |

  Dec 12, 2024 5:21 AM

  724 views | 0 replies