JMP Blog

Latest Posts

• How long will it last? Getting bonds into the retirement portfolio

  Does a mix of stocks and bonds circumvent the drawbacks of the previous two approaches?

  DonMcCormack

  JMP Blog |

  Apr 4, 2022 2:34 PM

  3290 views | 0 replies
  

• 2大バンド「The Beatles」 と 「Queen」 の心の叫びとは！ ～　Part3. 単語選択分析　バンドを特徴づけるキーワードは？　～

   

  Masukawa_Nao

  JMP Blog |

  Mar 31, 2022 7:51 AM

  2150 views | 0 replies
  

• 樣本數愈多愈好嗎？樣本數與power值的計算

  在進行研究時，很多研究人員會思考一個問題：「我取的樣本數足夠嗎？」由於樣本數會直接影響到研究的嚴謹性及研究結論的可靠性。當樣本數太小時，研究結果不穩定，得到「假陰性」結果的風險也大；當樣本數太大，又會增加研究成本和實驗難度。 到底該如何確定研究的樣本數是否合理呢？今天JMP就要來介紹如何透過Power analysis去取得合適的樣本數。

  JMP_Taiwan

  JMP Blog |

  Mar 31, 2022 7:50 AM

  35092 views | 0 replies
  

• World Water Day cleanup activity during Discovery Summit Europe

  Join us for our World Water Day Cleanup activity. Clean up litter around your home and let us analyze the data. 

  nina_chan

  JMP Blog |

  Mar 28, 2022 10:58 AM

  5421 views | 8 replies
  

• JMP Discovery Europe continues this week

  We are already to the halfway point of Discovery Summit Europe, but there is so much more in store for 22 and 24 March!

  AllisonHines

  JMP Blog |

  Mar 21, 2022 5:29 AM

  1325 views | 0 replies
  

• 如何快速識別晶圓缺陷？高科技半導體下的資料分析

  電子製造業的零件尺寸較小、生産周期較短，使得設備及産品的異常診斷能力變得非常重要，其辨識能力的強弱甚至成爲了企業競爭力的一部分。如何快速、高效地識別這些異常，以及做好提前預警和分析，是提高良率不可或缺的一大環節。   今天我們以高科技中的案例爲例，來看看如何透過JMP強大的神經網絡建模與資料視覺化，幫助數據分析人員大幅减少異常芯片的識別與偵測時間，幫助企業提高生產效率與品質。  

  JMP_Taiwan

  JMP Blog |

  Mar 11, 2022 7:18 AM

  16149 views | 0 replies
  

• 如何在JMP中進行相關分析(Correlation Analysis) ？

  相關分析，是常見的統計分析方法，目的是在研究兩個或多個變量之間是否存在某種相關性，該如何判斷變量之間的相關性為正還是負？如何使用JMP中進行相關分析？今天的文章我們就來一起探索相關分析，包含Pearson相關、Spearman相關以及偏相關。  

  JMP_Taiwan

  JMP Blog |

  Mar 11, 2022 7:17 AM

  18876 views | 0 replies
  

• Discovery Summit Europe starts March 8

  We’re excited that Discovery Summit Europe is here. We hope you are, too!  

  AllisonHines

  JMP Blog |

  Mar 7, 2022 2:14 PM

  1608 views | 0 replies
  

• Cosmos Q&A with Dr. Katie Mack and Dr. JJ Hermes

      We had so many great questions from our Statistically Speaking audience.  

  anne_milley

  JMP Blog |

  Feb 22, 2022 7:04 AM

  2250 views | 0 replies
  

• Discovery Summit is in sight!

  We’re less than one month away from JMP Discovery Summit Europe 2022.

  AllisonHines

  JMP Blog |

  Feb 17, 2022 5:51 AM

  1231 views | 0 replies
  

• What will it take to achieve gender equality in science?

  For International Day of Women and Girls in Science, I asked JMP colleagues who studied and worked in various STEM fields -- and who are all agents of change in their own ways -- this question: In your experience, what will it take to achieve gender equality in science? Here are their responses.   Laura Castro-Schilo with her daughter at a conference

  arati_mejdal

  JMP Blog |

  Feb 11, 2022 7:40 AM

  3549 views | 3 replies
  

• Call for abstracts for Advanced Manufacturing & Processing Conference

  Do you have a particular use of JMP in a manufacturing or process setting that you are particularly proud of and would like to share? If so, check out the Advanced Manufacturing & Processing Conference. There is a call for abstracts for the upcoming June conference. Abstracts are due by March 7, 2022.

  Bill_Worley

  JMP Blog |

  Feb 9, 2022 9:38 AM

  2223 views | 2 replies
  

• Retirement income: What you can expect yearly and monthly

  OK, so you have decided it’s time to retire, and you know how much you have in your retirement nest egg. You been good and you have saved what you could, but there are two big question that always come up. Did I save enough and how long will my nest egg last?  This is not the end-all and be-all guide to retirement, but coupled with a post on what to expect from Social Security that I co-wrote with...

  Bill_Worley

  JMP Blog |

  Dec 15, 2021 5:47 AM

  4919 views | 3 replies
  

• JSL自動化分析，4步驟讓你的報告自動「跑」起來！

  近來有不少使用JMP程式設計語言（JMP Script Language，JSL）的朋友向JMP諮詢：   「我的日常報告非常多，是否可以自動地運行編譯好的JSL分析程式？ 這樣就可以每次需要運行JSL程式的時候不必長時間耗在電腦面前，打開JMP程式，點擊自訂的菜單就行了。更重要的是，有時分析程式的運算量比較大，耗時長，為了避免需要使用報告時不必等待太久，就不得不提前執行分析程式。」-- 來自頭疼的Peter   以上的情境是不是很似曾相識呢？為了減輕日常工作繁重的工程師們，本篇文章就要來分享，JMP軟體內的強大功能 – JSL 自動化，幫助你自動化產出分析報表。先來看一下在半導體產業工作的工程師Peter，最近遇到了哪些問題：   Peter手上有個需要通過JSL執行分析的品質報告，需要每天8:30上班時就向管理層彙報，但JSL運行所需時間的約為1小時，為了安全起見，他在每天早上7:00...

  JMP_Taiwan

  JMP Blog |

  Nov 15, 2021 6:34 AM

  5098 views | 0 replies
  

• 雙十一數據解密：電商銷售額與哪些因素有關？數據分析告訴你

  雙十一做為電商零售一年一度的促銷大季，各家電商和品牌方都在摩拳擦掌，火力全開，品牌方想要在電商大戰中拔得頭籌，對於消費者洞察就必不可少，品牌方對消費者的購買行為瞭解地越透徹，就越能有效地幫助企業更有針對性地開展市場行銷活動。   本篇文章透過數據分析的方式，針對電商的幾個關鍵因子作分析，解釋哪些可能因子影響銷售額，幫助電商零售找到提升銷售額的洞察。

  JMP_Taiwan

  JMP Blog |

  Nov 12, 2021 6:56 AM

  4508 views | 0 replies
  

• 運用JMP淨化離群值，以半導體分析WAT資料為例

  當您分析資料時，第一個步驟是什麼？ 是使用能力強大的互動性JMP Graph  builder (圖形生成器) 做視覺化分析？ 或是利用JMP的Distribution (分佈) 平台做敘述統計量分析？ 又或是利用JMP多樣的預測建模工具，找到最適當的預測模型？ 雖然這些都是為人所樂道的JMP功能，但是做為使用JMP分析的第一步，除了上述的平台外，您不妨考慮利用Explore Outliers (探索離群值)及 Explore Missing Values (探索遺失值)平台，清潔整理您的資料。

  JMP_Taiwan

  JMP Blog |

  Nov 8, 2021 5:48 AM

  6906 views | 0 replies
  

• Cycling up a mountain with design of experiments

  Cycling up a mountain 12 times to test out performance really helped me appreciate the value of each run in a DOE. The mountain in question is Lookout Mountain which is perched above Golden Colorado. Rising nearly 1,300 feet (400m) in about 4.5 miles (7.25km) to add to the challenge the climb starts at an elevation above 6,000 feet (1850m). For fans of cycling, this is a class 2 climb, which is a ...

  Peter_Hersh

  JMP Blog |

  Oct 11, 2021 7:07 AM

  15669 views | 26 replies
  

• DOE-ing Myself: Using design of experiments to run more efficiently

  I use DOE to identify how variables related to food, drink, what I wear, and even how I prepare to train, to maximize the little time I have to run. 

  Peter_Polito

  JMP Blog |

  Oct 8, 2021 8:39 AM

  11562 views | 14 replies
  

• We're name dropping so you don't miss out on Discovery Summit Americas

  Once you know who will be there, we think you’ll want to be there, too.

  Diana_Levey

  JMP Blog |

  Sep 16, 2021 7:51 AM

  2970 views | 0 replies
  

• 資料清理之「拆分」：在 JMP 快速實現一欄拆分為多欄

  在資料分析的過程中，你可能需要將一欄或多欄指標細拆成多欄指標。例如在人口普查結果中瞭解男女性在不同年齡區段的分布情形；又或者，出於分析或做圖需要，依據性別將身高拆分別兩列等。今天就要帶你瞭解如何在 JMP 實踐將一欄資料拆分成多欄。

  JMP_Taiwan

  JMP Blog |

  Aug 30, 2021 8:20 AM

  4886 views | 0 replies