This Club is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE), Bayesian Optimization, and other advanced optimization strategies in JMP. Whether you’re exploring experimental design or looking to optimize complex processes, this is the ...
See how to combine experiment design with predictive modeling to support process understanding and optimization. Learn how to design an experiment, explore factor-response relationships, assess tradeoffs, and identify settings that achieve desired performance objectives. This webinar covers: JMP Easy DOE and JMP Pro predictive modeling. Suggested Prerequisites Basic understanding of experiment d...
(Présenté en français) Recommandations pour la conception optimale d’expériences Gagnez en rapidité analytique : élaborez une stratégie expérimentale pour un impact maximal.Maîtrisez les bases des plans d’expériences.Apprendre des essais précédents grâce à l’optimisation bayésienne ?Quelle approche utiliser, et quand ?
This Club is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE), Bayesian Optimization, and other advanced optimization strategies in JMP. Whether you’re exploring experimental design or looking to optimize complex processes, this is the ...
Click here to register JMP software is used extensively by the world’s major pharmaceutical companies for statistical analysis in R&D, quality by design (QbD), manufacturing, and clinical trial analysis. This makes JMP Student Edition a natural choice to teach statistical methods in pharmaceutical sciences. This webinar provides a survey of relevant JMP capabilities, so that if you’re considering ...
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This workshop is designed for intermediate to advanced JMP users who are familiar with basic statistical modeling (ANOVA and regression) and are interested in learning about design of experiments (DOE) in JMP. Attendees gain a deeper understanding of DOE through demonstrations and activities using the Custom Design platform. The workshop also c...
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This workshop is designed for intermediate to advanced JMP users who are familiar with basic statistical modeling (ANOVA and regression) and are interested in learning about design of experiments (DOE) in JMP. Attendees gain a deeper understanding of DOE through demonstrations and activities using the Custom Design platform. The workshop also c...
2026年5月28日に実施したベイズ最適化セミナーのオンデマンド版です。
セミナーの録画内容を編集し、セミナー内容を5つのパートに分けています。
※本セミナーは、セミナー時点での最新バージョン「JMP Pro 19.1.2」を用いています。バージョンアップによって、レポートや操作方法等が変更される可能性があります。
JMP Proのベイズ最適化について
（目次）
1. 最適化していくイメージ
2. Bayes最適化の基本概念
3. 実験計画法（DOE）を用いた最適化とBayes最適化との対比
3-1. DOEによる最適化
3-2 Bayes最適化による最適化
4. JMP Pro 「Bayes最適化」プラットフォームの特徴
5. Bayes最適化の実践例
5-1 事例1:酵素触媒反応の収率最適化
5-2 事例2:プラスチック射出成形の最適化
イントロダクション（8分19秒）
(view in ...
Gain analytical speed: develop an experimental strategy for maximum impact. Master the basics of design of experimentsLearn from previous trials with Bayesian optimizationWhich approach to use, and when? Video 1: Introduction (view in My Videos) Video 2: Demonstration (view in My Videos) Video 3: Conclusion (view in My Videos) More resources on Easy DOE, how to do DOE's and Bayesian Optimization...
Sample size is a major consideration when designing experiments or other research studies, and JMP Student Edition has a suite of interactive tools for calculating sample size and power. This webinar shows you how to use JMP Student Edition to teach foundational power analysis techniques taught in design of experiments and research methods courses. Topics include: Power analysis for one- and tw...
JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to use JMP Student Edition to teach modern algorithmic techniques for design of experiments. Topics include: JMP's Custom Designer for algorithmically created, statisti...
JMP Student Edition provides state-of-the-art design of experiments capabilities, including classical, algorithmic, and many specialized designs, as well as interactive tools for analysis of DOE data. This webinar shows you how to teach classical design of experiments techniques with JMP Student Edition. Topics include: Classical screening designs (e.g., fractional factorial).Classical response...
Video using JMP 19 was posted in March 2026. Designed experiments are powerful, structured tests that reveal how your factors truly drive the responses you care about. Using Easy DOE Guided Mode, you can build and explore experiments effortlessly using an intuitive sequence of tabs, interactive profilers, and automated reports. Whether you're new to DOE or a seasoned pro, this session will give yo...
This Club is is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE). What can you expect? Quarterly meetingsLightly structured discussions about design of experiments in JMP.Experts and novices are welcome. Be ready to share and ready to l...
Video using JMP 19 was posted November 2025. This session is for JMP users who want to effectively create high-quality designed experiments. A key benefit of simulating the response when designing your experiment is that you can be confident that the data will support your modeling and testing goals before conducting actual experiments. Most JMP DOE options allow users to manually enter coefficie...
If you teach with JMP Student Edition, don’t miss JMP’s wide range of freely available teaching resources that you can use to enrich your course. This webinar, the first of a two-part series, reviews several JMP teaching resources and how to use them effectively, including: The Learning Library: A collection of quick video tutorials and one-page guides that teach students how to use JMP (so you...
Jump into DOE
Date: Wednesday, July 9
Time: 1:00 – 2:30 p.m. ET
Duration: 90 minutes
Registration: FREE
Hosted via Zoom
This workshop is designed for intermediate to advanced JMP users who are familiar with basic statistical modeling (ANOVA and regression) and are interested in learning about design of experiments (DOE) in JMP. Attendees gain a deeper understanding of DOE through demonstrations a...
測定システム分析（MSA）について、考え方や概念とともに、JMPでの操作方法、結果の見方などを解説したセミナーです。ゲージR&RやEMP分析、測定システム計画分析、バイアスと直線性などについて、JMPのデモとともに紹介しています。 ※本セミナーは、動画作成時点での最新バージョン「JMP 18.2.1」を使用しています。 ※プレゼン資料（Power Point）、Part 4で使用したデータは、本ページからダウンロードできます。 目次 Part 1. イントロダクション Part 2. 測定システム分析：ゲージR&Rにおける交差モデルと枝分かれモデル Part 3. EMP分析 Part 4. 実施例：測定システム分析計画から分析まで Part 5. バイアスと直線性 Part 1. イントロダクション（7分0秒） とりあえずゲージR&Rを実施してみるこの後のパートで説明すること...
https://www.jmp.com/en_us/events/users-groups/users-group-meetings/jmp-pharmabio-club-05jun25.html
DOE Club This Club is is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE). What can you expect? Quarterly meetings held in English at 15:00 CET (09:00 am ET).Lightly structured discussions about design of experiments in JMP.Exper...
Video was recorded in March 2025 using JMP 18. Are you looking for ways to determine an effective way to trade off power and speed to find a sweet spot for your semiconductor chip design? Are you an engineer responsible for designing or doing validation testing to assure that your hardware solutions satisfy the requirements or your customers? Do you seek efficient ways to predict the behavior of a...
Video was recorded in February 2025 using JMP 18. Do you need to formulate drug products to match a specific dissolution profile? Do you need to re-formulate or validate that changes in raw material suppliers do not change a drug's dissolution profile? Do you develop dissolution methods for product release? In this session, we will: Compare a new formulation's dissolution profile to an existing ...
https://www.jmp.com/en_us/events/users-groups/users-group-meetings/ba-jug-11feb25.html
Video was recorded in January 2025 using JMP 18. Do you have historical or real time production data? Have you wondered how to leverage these data to design high value, efficient, cost-effective experiments? In this session, we will use the following steps to find an optimal process recipe for a plasma enhanced chemical vapor deposition (PECVD) tool that is used to deposit an insulative layer on a...
This Club is is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE). What can you expect? Quarterly meetings at 15:00 CET (09:00 am ET).Lightly structured discussions about design of experiments in JMP.Experts and novices are welcome. B...
A variety of JMP mixture designs options support experimental situations where properties of a blend of components depend more on the relative proportions than on the absolute amounts being mixed. See how to create, analyze and interpret the results of several types of mixture designs. (view in My Videos) See how to: Understand the definition of Design of Experiments (DOE) and how experiment des...
Learn about the variety of JMP mixture designs options that support experimental situations where properties of a blend of components depend more on the relative proportions than on the absolute amounts being mixed. See how to create, analyze and interpret the results of several types of mixture designs. (view in My Videos)
Erfahren Sie mehr über die vielfältigen JMP-Optionen für Mischungsdesigns, zur Unterstützung von Experimentanordnungen, in denen die Eigenschaften einer Zusammenstellung von Komponenten stärker von den relativen Anteilen als von den absoluten gemischten Mengen abhängen. Finden Sie heraus, wie Sie die Ergebnisse verschiedener Arten von Mischungsdesigns erstellen, analysieren und interpretieren. (...
(view in My Videos) Découvrez la variété des options de plans de mélanges JMP qui prennent en charge les situations expérimentales où les propriétés d'un mélange de composants dépendent davantage des proportions relatives que des quantités absolues du mélange. Découvrez comment créer, analyser et interpréter les résultats de plusieurs types de plans de mélanges.
This Club is is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE). What can you expect? Quarterly meetings at 15:00 CET (09:00 am ET).Lightly structured discussions about design of experiments in JMP.Experts and novices are welcome. B...
Get JMP software free for academic use at jmp.com/student Following on the previous webinar, Designing and Analyzing Experiments, Pt. 1: An Introduction, this webinar introduces a selection of intermediate and advanced concepts and techniques in the design of experiments (DOE) and how to apply them in JMP. Topics include: Statistically optimal designs that are custom-built to unique experim...
Get JMP software free for academic use at jmp.com/student Design of experiments (DOE) is a foundational statistical skill in science and engineering. Using DOE, researchers can develop efficient plans for collecting data to reveal causal relationships between factors and responses. This webinar, intended for those with little-to-no DOE background, introduces fundamental DOE techniques and how...
JMPに搭載されている実験計画の作成方法「決定的スクリーニング計画（DSD）」は、多くの因子を少ない実験回数でスクリーニングでき、スクリーニングの段階で二乗効果を特定できるという特長があります。近年、さまざまな業界で活用されています。 本セミナーでは、この「決定的スクリーニング計画」の概要や特長を説明し、実施例をもとに重要因子のスクリーニングを行うデモを行います。 動画は3つのチャプター（Chapter1、Chapter2、Chapter 3）で構成され、Chapter2、Chapter 3はいくつかの2つのセクション（Section）に分かれております。 Chapter 1: イントロダクションChapter 2: スクリーニング計画とはSection1: スクリーニング計画の実験点と直交計画について（14分26秒）Section2: 交絡について（13分32秒）Chapter ...
半導体業界（素材、製造装置も含む）では、研究開発、品質・信頼性管理、製造、検査の各フェーズで活用できるJMPの機能があります。本動画では、JMPの概要や半導体業界での利用事例を紹介し、データ解析および統計解析におけるJMPの機能とその活用例についてデモンストレーションを交えて紹介します。最後にJMPを活用するためのリソースも紹介しています。半導体業界向けの事例の紹介、データ例になっていますが、製造業（電子部品、自動車、半導体以外の素材など）の研究、品質管理、製造などに従事されている方でも役立つ内容になっています。 スクリーンショット 2024-06-12 160427.png ※本動画、資料は、製作時点（2024年6月）での最新バージョン「JMP（JMP Pro）18.0.1」を用いています。 ※このページから、セミナーで使用した資料（pdf）をダウンロードできます。 目次 は...
Put your analytics power into practice You're invited to attend the upcoming virtual meeting of the Semiconductor JMP Users Group. You will exercise your analytic power and enhance your work performance by examining best practices with presenters and fellow JMP users. The Semiconductor JMP Users Group provides education, networking and support to users of JMP software. All interested JMP users are...
Orthogonal Mixed-level Screening Designs introduced in JMP 18 are useful for JMP DOE users who need to test the effectiveness of many interventions simultaneously in a single experiment with minimal runs. See how to use JMP 18 orthogonal mixed-level screening designs to mix continuous and two-level categorical factors and use special constructions for mixed-level screening designs where continuous...
Accelerated Life Testing is useful to evaluate product reliability for parts that need to perform for long periods and can’t afford to wait for failures to occur at their normal rate. The new JMP 18 Constant Stress Accelerated Lifetime Testing (CSALT) special-purpose DOE capability lets you create and evaluate multi-factor designs for up to 3 acceleration factors and then use a JMP script to launc...
JMP 17 propose un profileur interactif qui permet d'explorer l'impact des limites de facteurs sur le taux de réussite attendu des futures exécutions par rapport aux spécifications (taux de conformité aux spécifications) des réponses. Découvrez comment utiliser le profileur d'espace expérimental sur les facteurs qui respectent les limites de spécification des réponses et comment configurer un es...
Mit JMP 17 wurde ein neuer interaktiver Profiler eingeführt, um die Auswirkungen von Faktorgrenzen auf die erwartete Rate zukünftiger Läufe zu untersuchen, die die Spezifikationen (In-Spec-Rate) der Antworten erfüllen. Erfahren Sie, wie Sie mit dem Design Space Profiler Spezifikationsgrenzen für die Faktoren festlegen, die die Spezifikationsgrenzen für die Antworten einhalten, und einen Design ...
DOE Club This Club is is a participant-driven meeting designed to encourage attendee involvement and knowledge sharing. Join us for these lightly structured discussions to share your ideas and learn more about Design of Experiments (DOE). What can you expect? Quarterly meetings held in English at 15:00 CET (09:00 am ET).Lightly structured discussions about design of experiments in JMP.Exper...
Presenter: @Phil_Kay Learn about the variety of JMP mixture designs options that support experimental situations where properties of a blend of components depend more on the relative proportions than on the absolute amounts being mixed. See how to create, analyze and interpret the results of several types of mixture designs. (view in My Videos) More ressources: Mastering JMP Desig...
Presenter: @MassimoMartucci Scoprite la varietà di opzioni di disegni sperimentali per miscele in JMP, quando le proprietà di una miscela di fattori dipendono più dalle proporzioni relative che dalle quantità assolute miscelate. Scoprite come creare, analizzare e interpretare i risultati di diversi tipi di disegni degli esperimenti per miscele. (view in My Videos)
Get JMP software free for academic use at jmp.com/student JMP’s interactive, no-code interface makes it an excellent choice for teaching statistics to future engineers. Its use by engineers at leading companies around the world makes it a valuable career skill, too. This JMP Academic webinar reviews the use of JMP to teach engineering statistics, from basic techniques such as regression and A...
JMP特有の計画である「カスタム計画」について学ぶことができるオンデマンドセミナーです。実験計画法の初心者を対象としています。 動画は3つのチャプター（Chapter1、Chapter2、Chapter 3）で構成され、各チャプターはいくつかのセクション（Section）に分かれております。Chapter 1は、2023年10月に実施した「ビギナー向け 実験計画法の概要とJMPを使った実施例（全3回）*」の第2回"JMPに搭載されている「カスタム計画」の概要と利用例（10/12実施）" の録画を再編集したオンデマンドバージョンです。（実際に実施したセミナーに対し、一部内容を割愛しています。）Chapter 2はカスタム計画と関係する「拡張計画」について、Chapter 3ではカスタム計画を使った「配合計画」を扱います。これら2つのチャプターはオンデマンド用に作成したものです。 Ch...
NOTE: Easy DOE Flexible Mode is most useful for users already familiar with using JMP DOE and/or need to go beyond the more basic Easy DOE Guided Mode. If you are relatively new to DOE, consider first viewing the Mastering JMP Video Easy DOE - Guiding New Users Through Designing and Analyzing an Experiment. Often you may start in DOE Guided Mode and determine that you need more capabilites, s...
This US session is held in English, 2:00 pm US Eastern Time. Easy DOE can be used in Guided or Flexible Mode. Guided Mode gives new users access to key JMP DOE capabilities that should accommodate most situations. Flexible mode provides more experienced users full access to the conventional JMP platforms, such as Custom DOE and Definitive Screening Designs. Learn how to use advanced Flexible M...
Get JMP software free for academic use at jmp.com/student Designing research studies involves important statistical considerations regarding study structure, sample size, accounting for covariates, and more. In this webinar, we demonstrate several methods useful in research study design: determining the amount of data to collect, designing multifactor experiments, and sequential experimen...
See how to describe the goal, specify effects for an assumed model, generate a design, collect experimental run data, create, and fit a model incorporating experimental data, and use factors to optimize and improve settings. With Design Space Profiler, interactively find limit of failure regions (operational ranges) inside the factor space where the model(s) predict that the response(s) will be wi...
Découvrez comment décrire un objectif, spécifier les coefficients d'un modèle supposé, générer un plan, recueillir les données d'expériences, créer et ajuster un modèle comprenant des données expérimentales et utiliser des facteurs pour optimiser les paramètres. Grâce au profileur d'espace expérimental, trouvez de manière interactive la limite des régions de défaillance (portées opérationnelles) à...
Impara a descrivere il tuo obiettivo, specificare gli effetti per un modello ipotizzato, generare un disegno, raccogliere dati di esecuzione sperimentali, creare e stimare un modello contenente dati sperimentali e a usare questi fattori per migliorare e ottimizzare le impostazioni. Con il Profiler dello spazio del piano trova in modo interattivo il limite delle regioni di fallimento (intervalli op...
Erfahren Sie, wie Sie das Ziel beschreiben, Effekte für ein angenommenes Modell angeben, einen Versuchsplan erzeugen, Ausführungsdaten zum Versuch erfassen, ein Modell für die Versuchsdaten erstellen und anpassen sowie Faktoren nutzen, um die Einstellungen zu optimieren. Mit Design Space Profiler können Sie interaktiv die Grenzen der Fehlerregionen (Betriebsbereiche) innerhalb des Faktorraums ermi...
Scopri come utilizzare la progettazione, l'analisi e la sperimentazione attraverso una sequenza di tab, report e profiler che ti guideranno tra i vari passaggi. Impara a utilizzare la semplice interfaccia della modalità guidata, a comprendere le impostazioni predefinite per ogni passaggio e come queste dipendono dalle scelte effettuate nelle fasi precedenti, a interpretare i suggerimenti che guid...
Découvrez comment utiliser les plans puis analysez et expérimentez à l'aide d'une série d'onglets, de rapports et de profileurs pour vous guider à travers les étapes. Apprenez à utiliser l'interface intuitive du mode guidé ; à comprendre les valeurs par défaut de chaque étape et comment elles dépendent des choix effectués lors des étapes précédentes ; à mettre en œuvre les conseils qui orientent ...
Erfahren Sie, wie Sie mithilfe einer Reihe von Registerkarten, Berichten und Profilern spielend leicht die einzelnen Schritte beim Entwurf und der Analyse eines Experiments erledigen können. Lernen Sie, wie Sie die einfache Benutzeroberfläche des geführten Modus verwenden, die Standardeinstellungen für jeden Schritt verstehen und wie diese von den in den vorherigen Schritten getroffenen Entschei...
実験計画法をナビを使って簡単に！ 「ナビ付きDOE」は、実験計画法に詳しくない方でも、実験計画のフレームワーク（流れ）に対し、ナビを参考に段階を追って実施できます。さらに、実験データや実験の情報、結果のレポートを一つのファイルにまとめて保存することができ、実験計画の一連の手順をトレースする、または組織内で共有するといったことが容易になりました。 naohiro_masu_0-1674621832886.png 本動画では、「ナビ付きDOE」の」特徴を説明し、実験計画法の実施例を挙げ、簡単に実験計画法ができることをデモにて説明しています。 動画の説明で用いている資料（pdf形式）をダウンロードできます。この資料では、ナビ付きDOEの操作手順や参考となる情報を詳しく記載しています。動画中に実験計画法の例として紹介している計画のjmpdoeファイルをダウンロードできます。zipファイルで...
Screening designs are among the most popular designs for industrial experimentation. Typically used in the initial stages of experimentation, they examine many factors in order to identify those factors that have the greatest effect on the response. The factors that are identified are then studied using more sensitive designs. Because screening designs generally require fewer experimental runs tha...
Scopri come il nostro framework in sei fasi può aiutarti a creare un disegno di esperimenti efficace che ti consenta di determinare la relazione tra i fattori che influiscono su un dato processo e di ottenere un risultato ottimale. Impara a descrivere il tuo obiettivo, specificare gli effetti per un modello ipotizzato, generare un disegno, raccogliere dati di esecuzione sperimentali, creare e stim...
Lernen Sie die Benutzung des 6-Schritt-Frameworks zur erfolgreichen Versuchsplanung. Damit können Sie die Beziehung zwischen den Faktoren feststellen, die einen Prozess beeinflussen, und die optimale Prozessausgabe ermitteln. Erfahren Sie, wie Sie das Ziel beschreiben, Effekte für ein angenommenes Modell angeben, einen Versuchsplan erzeugen, Ausführungsdaten zum Versuch erfassen, ein Modell für di...
Apprenez à utiliser le framework en six étapes pour créer un plan d'expériences permettant de déterminer la relation entre les facteurs ayant une incidence sur les processus et l'obtention de résultats optimaux. Découvrez comment décrire un objectif, spécifier les coefficients d'un modèle supposé, générer un plan, recueillir les données d'expériences, créer et ajuster un modèle comprenant des don...
(view in My Videos) Note: All the capabilities shown are in JMP 17, although JMP Pro 17 is used for the demo. The video includes Q&A and comments from the presenter Caleb King @calking about how MSA works plus plans for possible enhacements. See how to: Understand basics of MSA Design MSA primary focus is on decomposing variation in product measurements into distinct sources, with the go...
(view in My Videos) See how to: Understand three families of designs and when you might use them: optimal, classical and modern (space filling) Create a mixture-process experiment for mixtures with a continuous variable (process factor) using Custom Design Create a mixture-process experiment using Space Filling Design Contrast Custom and Space Filling Designs Questions answered by S...
Mixtures are compositions where the total quantity of the system is fixed, but the relative proportions of the components can change. They are relevant to a variety of industries, including food, plastics and rubber, personal care, pharmaceutical, and metallurgy. Products in these industries are typically developed with multipole components, where each brings a particular performance attribute th...
(view in My Videos) See how to: Understand the principles and benefits of designing experiments Understand importance of Multiple Response Optimization, Trade Space Analysis Answer important questions as design prerequisites Examine first example - four continuous factors, three responses, and 2nd order RSM model Build second example - continuous, discrete numeric, categorical, and ha...
Presenter: @Phil_Kay What you can learn from your experiments has taken a leap forward with functional Design of Experiments. This novel and cutting-edge approach allows you to understand what drives the behavior of a functional response, such as a curve, profile or waveform. Applications include understanding the factors that drive the best chromatography method, or particle size distributio...
DOE allows multiple input factors to be manipulated, determining their effect on a desired output (response). By manipulating multiple inputs at the same time, DOE can identify important interactions that may be missed when experimenting with one factor at a time. Generalized Regression used in conjunction with a designed experiment may provide answers to questions such as: What are the key fac...
(view in My Videos) What is a Covariate? Input variable(s) we want to account for, but don't have complete control.Uncontrolled, but observable ahead of time."Candidate Set" approach. Why does it matter to Custom Design? Coordinate-Exchange (Custom Design) Start with a "random" design.Go through design element-by-element, make a switch if it improves criterion.Repeat.No requirement for a c...
(view in My Videos) Scopri come iniziare con la progettazione di esperimenti grazie a due case study che dimostrano come risolvere in maniera pratica ed efficace problemi scientifici e ingegneristici esplorando lo spazio di opportunità in maniera strategica. Impara come progettare un insieme controllato di esperimenti per modellare ed esplorare il rapporto tra input e output di un processo. Rispo...
Apprenez à concevoir une série de tests contrôlés afin de modéliser et d'explorer la relation entre les entrées et les sorties de vos processus. Ce webinaire aborde notamment les sujets suivants : terminologie importante, y compris les facteurs, réponses, traitements, essais, effets et interactions; plans d'expérience pour des problèmes simples ; construction et interprétation de modèles statisti...
Präsenter: @martindemel In diesem Webinar erfahren Sie, wie Sie effizient wissenschaftliche und Engineering-Herausforderungen lösen, indem Sie gezielt vorgehen, um einen kompletten Parameterraum zu erforschen. Finden Sie heraus, wie Sie eine kontrollierte Testreihe erstellen, um die Beziehung zwischen den Eingaben und Ausgaben Ihres Prozesses zu modellieren und zu untersuchen. (view in My Vi...
(view in My Videos) By sequentially running High Performance Computer (HPC) simulations in Design of Experiments (DOE) blocks, one can quickly increase the accuracy of fast surrogate models. When sufficiently precise surrogates have been obtained, HPC resources can sooner be made available to other Modeling & Simulation (M&S) projects. See how to: Understand why to create a designe...
(view in My Videos) (view in My Videos) See how to examine: Margin of Error for One Sample MeanMargin of Error for One Sample ProportionMargin of Error for One Sample VarianceMargin of Error for Two Independent Sample MeansTwo Independent Sample ProportionsMargin of Error for Two Independent Sample Variances Power for One Sample Mean Effect of N trials on designed experiments and compare result...
JMP 16 ist vollgepackt mit neuen und hilfreichen Verbesserung der vorhandenen Funktionen. Neben einigen Highlights wie Aktions-Aufzeichnung und Log-Modus und Modell-Screening lernen Sie in diesem Mastering JMP über individuelle Datumsformate, neue Visualisierungs- und Organisations-funktionen, sowie Analyse von Parametern mit Nachweisgrenzen.(view in My Videos)
(view in My Videos) See how to: Understand the sequence of basic DOE capabilities (set up design, save/load factors and responses, simulate responses, select D- A- I- or Alias-Optimal criteria, ID number of starts, add interaction terms, modify number of JMP-recommended runs, run the design, make the design table)Understand the basic design types (classical, mixture, optimal, supersaturated scr...
(view in My Videos) See how to: Define split-plot designs as one where treatment is applied to more than one experimental unit because one or more factors are associated with batch processing or are difficult, expensive or time consuming to changeRecognize some types of industrial situations where split plots are appropriateDifferentiate potential split-split-plot designs from strip-plot...
See how to: Design an experiment that has linear constraints that eliminate a corner of the design space Determine the values for constraints Determine when to treat factors as blocking or hard-to-change, depending on the type of variability you want to characterize Build a design that incorporates one and two random b...