백서 및 참고서적 발췌

• JMP 실험계획법의 장점이 백서에서는 JMP가 제공하는 최첨단 DOE 기능에 대해 자세히 설명합니다.이 기능을 통해 특정 문제 및 리소스 제한에 맞게 설계를 조정할 수 있습니다.
• QbD(Quality by Design) 방법을 사용한 의약품 생산 공정 최적화이 백서는 제약 제조 프로세스의 설계, 개발 및 모니터링에서 품질 관리 방식을 사용하는 방법을 보여줍니다.
• 분석 라이프사이클 도구 키트조직에서 분석을 효과적으로 사용할 수 있는 프레임 워크를 제공하는 분석 라이프사이클 도구 키트의 무료 참고서적 발췌를 다운로드하십시오.
• 실험계획법(DOE)을 사용한 공정 최적화실험계획법(DOE)이란 무엇이며 어떻게 가치를 제공합니까? 사례 연구를 통해 이 백서는 이러한 질문에 대한 답을 제공합니다.
• 통계 모형을 사용한 공정 개선문제에 어떻게, 언제 그리고 어디에서 통계 모델링을 적용합니까? 이 두 가지 실제 사례 연구에서 알아보십시오.

• Advantages of Bootstrap Forest for Yield AnalysisMaintain a high level of quality and control (in less time) with the bootstrap forest method. Here’s how!
• Building Better Models with JMP ProDiscover the “what, why and how” of neural networks through case studies, figures and exercises. Examples demonstrate how models are used for both classification and prediction across an array of applications.
• Class of Three-Level Designs for Definitive Screening in the Presence of Second-Order EffectsIntroducing….a class of economical three-level designs for screening quantitative factors.
• Data Exploration in Preparation for ModelingCase study: uncover the process a leading catalog retailer uses to prep data before building response models.
• Data Mining Techniques, Third EditionData Miners, Inc. co-founders explain how to create derived variables through a study on modeling customer attrition.
• Definitive Screening Designs with Added Two-Level Categorical FactorsInventors of Definitive Screening designs share a new development in this reprint from the Journal of Quality Technology.
• Detecting Fraud at the Clinical SiteOrganizations find a better way to protect participants in clinical trials. Learn the graphical and statistical approaches being used to identify site- and patient-perpetrated fraud.
• Discovering Partial Least Squares with JMPSee how Partial Least Squares (PLS) is used to solve a drug development dilemma. You'll also learn how this flexible statistical technique can be used to models relationships--even those with noisy inputs and multiple outputs
• Effective Visualization Techniques for Data Discovery and AnalysisHow do you communicate highly technical data to a non-analytical audience? Find out how in this paper on best practices in data visualization.
• Evaluating the Measurement Process: A Better Way to Do Reliability & Reproducibility StudiesStatistician, author and quality expert Donald J. Wheeler, explains data collection strategy in the context of a basic EMP and gage R&D study.
• Explaining Reliability GrowthLearn about statistical techniques used to improve product and process reliability over time, and see specific examples using JMP software.
• Information Quality: The Potential of Data and Analytics to Generate Knowledge.New case studies: find out how Information Quality was used as a guide to predict water quality and control a film deposition process.
• Moving from Minitab to JMP: A Transition GuideA practitioner's review of JMP vs. Minitab: unearth two different approaches to common statistical techniques and principles.
• Optimal Design of Experiments: A Case Study ApproachWhat is a blocked experiment? When is one used and how is it constructed? Find out in this case study.
• Predictive Analytics Via Text MiningDownload a complimentary chapter about text mining for predictive analytics.
• Problem Solving for New Engineers: What Every Engineering Manager Wants You to KnowDownload a complimentary chapter about the strategy and tools needed to solve problems through experimentation.
• Risk-Based Monitoring of Clinical Trials Using JMP ClinicalClinicians discover a better way to protect the well-being of patients by reviewing trial data remotely.
• Split-Plot Designs: What, Why, and HowLearn how to design and analyze split-plot experiments and why split-plot designs are often cheaper and more efficient than other methods.
• Statistical Intervals: Confidence, Prediction, EnclosureThis paper uses a manufacturing example to describe the differences between confidence, prediction and tolerance intervals.
• Statistics with JMP: Graphs, Descriptive Statistics and ProbabilityNeed a better understanding of basic statistical theory and its applications? Let Professors Peter Goos and David Meintrup be your guide! An overview of descriptive statistics for nominal, ordinal and quantitative data, with particular attention to graphical representations is provided.
• Statistics with JMP: Hypothesis Tests, ANOVA and RegressionAnother great instruction guide by Professors Peter Goos and David Meintrup! This chapter specifically covers discrete and continuous random variables, with a focus on bivariate probability distributions and densities.
• Survey Data Analysis: The FundamentalsNew case study demonstrates best practices for survey analysis in JMP (including tips for dealing with missing data).
• Tap Into Unstructured DataThis white paper discusses ways to explore, analyze and use insights from unstructured text data.
• The Improbability PrincipleDownload a complimentary chapter from David Hand's well-known book, The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day.
• Visual Six Sigma: Making Data Analysis LeanThis paper introduces the idea of "Visual Six Sigma," a practical, pragmatic and yes, visual approach to data analysis and process improvement.
• Visual Six Sigma: Making Data Analysis LeanFind out how Visual Six Sigma was used to discover what was plaguing a plastic manufacturer’s polymer production for nearly 20 years.
• Visualizing Change: An Innovation in Time-Series AnalysisData in motion: how good interactive graphs illustrate the shape, velocity and direction of change.
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