了解兩兩參數之間的相關性:JMP Fit Y by X
JMP Fit Y by X 平台,包含了 T test、ANOVA 及Unequal Variance等兩群體間的檢定工具,一鍵就能將相關性由大到小排序。您可以利用此平台快速的找尋關鍵影響參數,以及判別失誤率較大的群體。觀看影片,看看顧問怎麼巧妙使用Fit Y by X 快速節省分析時間
JMP Fit Y by X 平台,包含了 T test、ANOVA 及Unequal Variance等兩群體間的檢定工具,一鍵就能將相關性由大到小排序。您可以利用此平台快速的找尋關鍵影響參數,以及判別失誤率較大的群體。觀看影片,看看顧問怎麼巧妙使用Fit Y by X 快速節省分析時間
With Discovery Summit Americas 2022 only a few months away, we’re more excited than ever to discover with you both in-person and online! No matter how you plan to join in, this year’s plenaries are some you won’t want to miss.
There’s an exclusive in-person option. Save your spot! Register today.
隨著時代的進步,產品製作的時間跟發展的期間也大幅的縮減,這也意味業界在做風險評估以及產線監控,必須更準確,即早偵測產線的失控,減少可能造成的損失。這樣的趨勢下,如何迅速的發現異常的產品,並且將不良品盡量在製作前期抓下來,避免製作出不符合規格產品,也是各產業中產線及品質管理部門所面臨的重中之重。今天就要來分享如何使用JMP進行半導體落塵分析。
We take a lighter approach this month and show where the worst states are for living a comfortable retirement. This data comes from a Bankrate article and is based on combination of several factors including cost of living, crime, culture, health care quality, taxes, weather, and overall well-being. We added an aggregate score that helps build perspective for what might be important as you conside...
Paneles de información dinámicos para impulsar la colaboración.
在進行線性迴歸多因素分析前,往往需要先進行單因素分析。但是,目前常用的大多數軟體操作單因素分析比較繁瑣,需要不斷替換自變量來重複操作,才能進行多個自變量的單因素分析。今天的文章就要來分享如何透過JMP完成一次性多變量的單因子分析。
El constructor de gráficos en JMP lo ayuda a generar visualizaciones interactivamente para explorar y describir los datos. El constructor de gráficos le permite graficar una o mas variables a la vez, incluso gráficos de líneas, gráficos de cajas, histogramas, gráficos de mosaico, mapas, y mucho más. El siguiente video le ofrece una breve demostración, y las instrucciones y pautas a seguimiento lo ...
With JMP’s Recode Platform, an hour of data cleanup becomes seconds!
Graph Builder 做為 JMP 長年以來受到用戶喜愛的工具,是如何透過簡單幾個步驟完成晶圓圖的繪製,並且輕鬆判別哪些 Lot wafer 有較差的表現。
使用 JMP 7 種 Table 整理工具,簡單設定幾個按鈕就能夠將資料堆疊、合併及分割等,幫你省下大量的工作時間。
常常聽到JMP的實驗設計(DOE)很好用,但是與其他軟體比較起來贏在哪裡呢?今天就從實驗設計流程開始,一一介紹DOE在不同實驗設計流程中脫穎而出的亮點為何。
Experts share the why and the how of green chemistry. Watch our Green Chemistry event on demand anytime.
Experts explain how these topics come together to make the world a better place. Join us for an event that is relevant to everyone, since we all use products make from chemicals.
Do you have large datasets that contain many input variables…maybe dozens or even hundreds of input variables!? JMP's Predictor Screening platform allows you to quickly determine which of these large number of candidates are the most significant in their ability to predict an outcome!
Just look at the list of Character functions available in the JMP Formula Editor. Not that anyone is counting, but that's 42 functions! Needless to say, if you've got a character column and want to change it somehow, JMP probably has a function to do it for you. Notice, though, that nine of those functions are all – or mostly – about extracting some portion of a character value. Admittedly,...
It should not take minutes to extract summary statistics! Learn how to extract any desired summary statistics for as many variables as you want in a matter of seconds!
Too many rows of data clouding your discoveries? Do you only want to focus on a very specific subset of your data? Learn how to filter and extract your desired data in a matter of seconds!
Phil Kay explains why OFAT is such a waste of time and effort.