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• Fluxo de Análise do JMP - Menus e Tabelas

  Aprenda neste vídeo como funciona o fluxo de Análise no JMP. Saiba como funciona o menu do JMP e como acessar o help.

  WesleySantos

  JMP Blog |

  Sep 23, 2024 6:30 AM

  569 조회수 | 0 회신
  

• Iniciando com o JMP

  Tópicos para você iniciar no JMP  

  WesleySantos

  JMP Blog |

  Sep 20, 2024 7:00 AM

  700 조회수 | 0 회신
  

• What is Software Testing?

  In our first of a series relevant to anyone creating or testing software applications, we begin with "What is Software Testing?"

  Ryan_Lekivetz

  JMP Blog |

  Sep 4, 2024 7:00 AM

  1928 조회수 | 1 회신
  

• Innovative applications in designed experiments

  anne_milley

  JMP Blog |

  Aug 28, 2024 7:00 AM

  992 조회수 | 0 회신
  

• Automatización de Datos con Python y JMP 18: Una Sinergia Poderosa

  Hoy, quiero compartir una emocionante actualización: un script en Python que permite guardar transcripciones de videos de YouTube directamente en una tabla de datos de JMP. Esta integración no solo ahorra tiempo, sino que también mejora la precisión y la eficiencia en la gestión de datos.

  MarilynWheatley

  JMP Blog |

  Aug 8, 2024 11:00 AM

  1550 조회수 | 0 회신
  

• Analyzing Chemometric Data – What’s New in JMP® 18

  Analyzing chemometric data continues to evolve in JMP, and JMP 18 has some great new additions. New tools like Multivariate Curve Resolution and import of .spa and .spc file types are just some of the options you will learn about in this blog.

  Bill_Worley

  JMP Blog |

  Aug 2, 2024 12:04 PM

  2806 조회수 | 2 회신
  

• From Jarmo's desk: Using the Scripting Index as your JMP® search

  Have you ever wondered if JMP has a specific feature? Or perhaps you wanted to open the Big Class sample data set? Have you needed a reminder of how to use that Col Moving Average() function? Or which messages could be sent to a data table? How Cpk is calculated? The Scripting Index is able to answer – or at least guide you toward the answer – all of these questions if you know how to use it.

  jthi

  JMP Blog |

  Aug 2, 2024 7:39 AM

  1620 조회수 | 1 회신
  

• Nick Desbarats on choosing a chart type

  Nick Desbarats, Independent educator and best-selling data visualization author  

  anne_milley

  JMP Blog |

  Jul 30, 2024 10:38 AM

  1048 조회수 | 0 회신
  

• Customer Voices on Shoes: Text Mining for Quality Insights

  Showing features in JMP that help analyze unstructured text data

  natalieneal

  JMP Blog |

  Jul 24, 2024 7:44 AM

  1417 조회수 | 1 회신
  

• Nuevas funcionalidades de JMP 18 (video en español)

  Esta presentación introduce las nuevas funcionalidades de JMP 18 en español, incluso:   Detección de picosConectores de datos configurablesMejoras la importación de datos en servidores PIPreajustes de plataformaMejoras en le perfilador de predicción, incluso visualizar los intervalos de predicción, las interacciones superpuestas, y la habilidad de ver las observaciones individuales.Mejoras en la i...

  MarilynWheatley

  JMP Blog |

  Jul 19, 2024 6:00 AM

  1246 조회수 | 1 회신
  

• Using JMP to Complete and Track FMEA Work

  Often, JMP users tend to think of the data table as just the place where data is stored, with all the fun things happening in the platforms and reports that JMP has. After a recent discussion with a colleague, I realized that the JMP data table is a great place to do FMEA work, especially given some of the new features in JMP 18. Read on to find out more, and to download a JMP FMEA Template.  

  Jed_Campbell

  JMP Blog |

  Jul 18, 2024 8:00 AM

  3081 조회수 | 2 회신
  

• 實驗設計 (DOE)入門：經典篩選設計與全因子設計

    實驗設計(DOE) 常應用在醫療、生技製藥及高科技製造等產業，做為降低實驗次數及成本的一種方法，在進行實驗設計時有哪些重要原則與步驟？傳統實驗方法中的經典篩選設計與全因子設計的概念與應用有哪些？本篇文章將介紹DOE基本原則、經典篩選設計與全因子設計方法的概念與應用案例。

  JMP_Taiwan

  JMP Blog |

  Jul 10, 2024 5:10 AM

  95168 조회수 | 3 회신
  

• Introducing the JMP Wish List Prioritization Survey!

  We are thrilled to invite you to take part in the pilot of the JMP Wish List Prioritization Survey, set to launch on July 3! Your feedback is invaluable as it will play a pivotal role in shaping the future of JMP by highlighting the ideas that hold the most significance to you.   Survey overview
  
  Within this survey, you will be provided with 100 "coins" to allocate to your preferred ideas. You have...

  LandraRobertson

  JMP Blog |

  Jul 3, 2024 6:18 AM

  2931 조회수 | 7 회신
  

• JMP 18 y Python: Así como a mí me gusta

  JMP facilita el análisis de texto libre, y hace fácil usar código de fuente abierta mediante su integración con Python. Fácil, así como a mí me gusta.       Siendo que también me gusta la comida Mexicana y el programa de YouTube De mi Rancho a Tu Cocina, decidí combinar mi amor por JMP y por la comida Mexicana en este blog. Para personas que no conocen a Doña Angela y su programa “De Mi Rancho a ...

  MarilynWheatley

  JMP Blog |

  Jul 2, 2024 2:06 PM

  1346 조회수 | 0 회신
  

• Julia O’Neill shares strategies to accelerate development

  Julia O’Neill knows what it takes to speed life-saving treatments to market.  

  anne_milley

  JMP Blog |

  Jun 20, 2024 5:43 AM

  1093 조회수 | 0 회신
  

• 提升產品品質：深入解析六標準差DMAIC方法在品質改善的應用（分析流程全解析）

  了解六標準差中的DMAIC方法，如何通過定義、測量、分析、改進和控制階段，幫助半導體行業實現持續改進產品質量。學習如何運用JMP工具進行統計分析和實驗設計，解決品質問題並優化製程。    

  JMP_Taiwan

  JMP Blog |

  Jun 18, 2024 5:00 PM

  28214 조회수 | 1 회신
  

• Can today’s cyclists be trusted or are they pedaling through deceit? A statistical analysis of cheating in the Tour de France's history

  The quest for Tour de France glory has driven cyclists to transcend the boundaries of human potential. Transcending those boundaries has led some cyclists down the unscrupulous path of winning at any cost. This blog looks at past winners – both scrupulous and unscrupulous – to determine if today’s cyclists can be trusted.

  Peter_Hersh

  JMP Blog |

  Jun 3, 2024 6:00 AM

  24167 조회수 | 22 회신
  

• 機器學習入門：通俗易懂解讀決策樹

  當今製造業的競爭激烈，企業需要不斷尋求創新的方法來提高效率、降低成本並保持產品品質。在這個動態且複雜的環境中，統計分析工具成為了業界的一大利器，而其中一個廣泛應用的工具就是決策樹。決策樹是一種強大的統計模型，能夠幫助製造業解決各種問題，從產品缺陷分析到生產效率優化，再到供應鏈管理和品質控制。在這篇文章中，我們將探討何謂決策樹，其有哪些應用場景與使用技巧，以應對日益變化的市場需求。  

  JMP_Taiwan

  JMP Blog |

  May 20, 2024 1:40 PM

  19417 조회수 | 0 회신
  

• 什麼是SPC(統計製程控制)？減少製程變異的分析流程解說與數據解讀

  實現卓越製造是每個企業追求的目標。為了達到這個目標，品質部門必須不斷努⼒識別製程變化的來源，並採取適當的措施來控制⽬標。 透過數據分析理解製程⽣產過程，不僅可以增加⽣產的靈活性，⽽且能確保產品更好地符合客戶要求。如何基於科學的數據分析實現卓越製造，是每家企業都面臨到了難題，本篇文章就要透過應用工程統計的角度，分享如何透過SPC來減少品質管理中的製程變異。  

  JMP_Taiwan

  JMP Blog |

  May 20, 2024 6:39 AM

  82236 조회수 | 0 회신
  

• May 21: International Day of Statistical Literacy

   

  curt_hinrichs

  JMP Blog |

  May 17, 2024 8:29 AM

  1335 조회수 | 0 회신