JMP Blog

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• Do look up! Exploring the cosmos near and far

  Astrophysicists Katie Mack and JJ Hermes share some of what they have learned from studying the cosmos.  

  anne_milley

  JMP Blog |

  Dec 19, 2023 12:36 PM

  1865 views | 0 replies
  

• IC產品如何進行可靠度測試？JMP可靠度加速分析應用

  現代生活對IC的依賴已越來越深，從消費型手機到電動車產業皆脫離不了IC，而未來IC產品朝向體積小，線路更細的製程發展，但是隨著品質要求越來越嚴格，可靠度的標準和要求也越來越細，如何巧妙利用數據分析進行可靠度分析，檢測產品失效度? 本篇文章就帶你瞭解如何善用JMP數據分析進行可靠度分析。

  JMP_Taiwan

  JMP Blog |

  Dec 19, 2023 12:36 PM

  11310 views | 0 replies
  

• Who is going to watch the college football national title game?

  .We look at the data to estimate how many viewers the game will have.

  Peter_Hersh

  JMP Blog |

  Dec 19, 2023 12:36 PM

  3236 views | 3 replies
  

• 卡方檢定的延伸：等級資料秩和檢定、趨勢卡方和配對卡方

  在上篇文章中，我們認識了基本的卡方檢定。至於今天要介紹的文章，則是 Pearson 卡方以外的延伸內容。本篇文章主要介紹三種場景： 用於等級資料組間比較的秩和檢定用於觀察趨勢變化的趨勢卡方檢定用於配對資料的配對卡方檢定   用於「兩組或多組等級資料比較」的秩和檢定 上一篇文章已經提到過，如果結局是有序分類資料（等級資料），為了比較兩組或多組等級資料是否有統計學差異，這時一般不用卡方檢定，因為卡方檢定無法表現出等級順序，而是用秩和檢定。   關於秩和檢定，主要是組或多組偏態分佈資料的比較，而不是等級資料。儘管都是秩和檢定，但由於連續資料和等級資料格式不同，在JMP上的操作也有所不同，因此本文重在介紹等級資料的秩和檢定操作。   例1：圖1資料中，想要比較肥胖和不肥胖患者的扁桃體大小是否有差異。資料的分組指標是二分類變數，結局指標則為等級資料。   此時若使用卡方檢定，只能說明組間的構成比是否...

  JMP_Taiwan

  JMP Blog |

  Dec 19, 2023 12:36 PM

  6437 views | 0 replies
  

• 認識卡方檢定：分類資料組間比較的分析神器

  在前幾期的文章中，我們分別介紹了 t 檢定 、變異數分析 (ANOVA) 等用於組間均值比較的方法。今天的文章，本文主要來介紹何謂卡方檢定以及卡方檢定如何用於組間比較。  什麼是卡方檢定? 據維基百科解釋，卡方檢定（Chi-Squared Test) 常用於組間率或比例比較，是一種統計量的分布在虛無假說成立時近似服從卡方分布的假說檢定 。在沒有其他的限定條件或說明時，卡方檢定一般代指的是皮爾森卡方檢定。   在使用卡方檢定前，有兩點需要注意： 1. 卡方檢定僅適用於結局為二分類或無序多分類的變數；如果結局是等級資料，通常不會使用卡方檢定，而是用秩和檢定，詳細使用方式我們將會在接下來的系列文章再介紹。 2. 卡方檢定除了能用於率或比例的比較，還經常用於擬合優度檢定，比較實際值與理論值（或預測值）的差異，所以常用於檢定某一樣本是否滿足特定分佈、某一模型的預測效果好不好等。   常用於卡方檢定的...

  JMP_Taiwan

  JMP Blog |

  Dec 19, 2023 12:36 PM

  113898 views | 0 replies
  

• Machine learning and AI - careful thinking required

    David Hand delivers an insightful plenary: Assessing the Performance of Machine Learning Algorithms.

  anne_milley

  JMP Blog |

  Dec 19, 2023 12:36 PM

  2609 views | 0 replies
  

• We’re doing things a little differently with Discovery Summit Europe

  Save the date(s)! We’re changing things up.  

  AllisonHines

  JMP Blog |

  Dec 19, 2023 12:36 PM

  2919 views | 0 replies
  

• JMP para optimización, fabricación y calidad de fármacos: Parte 3

  Este video es parte de una serie de tres presentaciones para la industria farmacéutica.   En el primer video (JMP para optimización, fabricación y calidad de fármacos: Parte 1 - JMP User Community), mostramos el diseño de experimentos, el ajuste de un modelo estadístico, y finalmente optimizamos el proceso a partir del modelo. En la segunda sesión (JMP para optimización, fabricación y calidad de f...

  MarilynWheatley

  JMP Blog |

  Dec 19, 2023 12:36 PM

  2095 views | 0 replies
  

• Cringeworthy statistics statement #2 explained: Statistical significance vs practical importance

  "It's statistically significant! We should go devote resources to the problem!" Does this statement make you cringe? Have a look at why I think this is a cringeworthy statement, in this summary of my second discussion topic.    

  JerryFish

  JMP Blog |

  Dec 19, 2023 12:36 PM

  4561 views | 3 replies
  

• Tomorrow, and tomorrow, and tomorrow … finding significance and meaning in repeated measures data

    Repeat anything enough times and it becomes meaningless. The repeated use of the word “tomorrow” in the first line foreshadows the conclusion of the famous soliloquy whereby Macbeth, upon learning of the death of his wife, searches the entirety of the temporal universe (from “all our yesterdays” right through to “the last syllable of recorded time”) for life’s significance and finds nothing. Ye...

  HadleyMyers

  JMP Blog |

  Dec 19, 2023 12:36 PM

  6070 views | 1 replies
  

• 画期的なコロナ飲み薬、重症化を89%減少させるってどのような根拠から？

   

  Masukawa_Nao

  JMP Blog |

  Dec 19, 2023 12:36 PM

  1952 views | 0 replies
  

• Celebrating Dyslexia Awareness Month — and neurodiversity in general

  anne_milley

  JMP Blog |

  Dec 19, 2023 12:36 PM

  2792 views | 0 replies
  

• 秩和檢定與兩兩比較的思考脈絡與分析方法

  在之前的文章中，我們介紹了兩組和多組常態分佈資料的組間比較方法。在本文中，我們將要講解的則是用於檢定非常態分佈資料差異的統計方法，也就是「秩和檢定」。本文將重點介紹以下：獨立樣本秩和檢定、單樣本秩和檢定和配對樣本秩和檢定。

  JMP_Taiwan

  JMP Blog |

  Dec 19, 2023 12:36 PM

  5520 views | 0 replies
  

• Top papers and posters at Discovery Summit Americas 2021

  And the winners are...  

  arati_mejdal

  JMP Blog |

  Dec 19, 2023 12:36 PM

  4334 views | 2 replies
  

• 評估SMT供應商品質有困難？使用JMP讓分析變簡單

  現代化產業無論是OEM專業代工，或是ODM原廠委託設計，甚至是委外代工都會有一個共通點，一般來說工廠生產產品，最重視的是產品的良率，也就是落在規格內的百分比，但是如果要評估產品的好壞，良率並不是唯一的指標，最常評估的就是「製程能力優劣」本篇文章將介紹一個分析SMT供應商品質的實際案例，並以JMP進行分析步驟說明。

  JMP_Taiwan

  JMP Blog |

  Dec 19, 2023 12:36 PM

  3953 views | 0 replies
  

• So little to lose, so much to gain at Discovery Summit Americas

  Registration is open! Sign up today and invest in you!  

  Diana_Levey

  JMP Blog |

  Dec 19, 2023 12:36 PM

  2343 views | 0 replies
  

• Predictive models save the day(ta): Well log interpretation and prediction are easier than you think

  Gathering remotely sensed data is tough. Gathering remotely sensed data miles below the earth's surface, under thousands of feet of seawater, in high pressure, high temperature environments is REALLY tough -- and you usually get only one shot! So what do you do when the data comes back...um...less than stellar? Take what you have and let the power of JMP Pro's predictive modeling tools get you the...

  Peter_Polito

  JMP Blog |

  Dec 19, 2023 12:36 PM

  4852 views | 5 replies
  

• Analyzing spectral data: Multivariate methods and advanced pre-processing

  Learn more about visualizing and pre-processing spectral data in JMP and JMP Pro.  

  Bill_Worley

  JMP Blog |

  Dec 19, 2023 12:35 PM

  12163 views | 0 replies
  

• Illuminating results from a failed analysis

  How much can I save by automating my outdoor spotlights?  

  roger_alford

  JMP Blog |

  Dec 19, 2023 12:35 PM

  4781 views | 1 replies
  

• Statistically Speaking: Demystifying Machine Learning and Artificial Intelligence answers to audience questions

    Many people tuned in to watch David Hand, Imperial College London; Lene Bjørg Cesar, Novozyme; Francisco Navarro, Solvay; and Aziza Yormirzaeva, Corning Environmental Technologies; discuss machine learning and artificial intelligence. The viewers asked a lot of great questions, but, due to time constraints, host Malcolm Moore from JMP wasn’t able to get to all of them during the event. We felt ...

  HadleyMyers

  JMP Blog |

  Dec 19, 2023 12:35 PM

  5894 views | 1 replies