JMP 14 Quality and Process Methods describes tools for evaluating and improving processes. The book begins by discussing creating control charts, which let you visualize process measurements over time, quantify common cause variation, and identify special cause variation. Details about estimating your process capability based on measurement systems analysis studies are included. Lastly, the book discusses Pareto plots and cause-and-effect diagrams to identify root causes of variability.
Quality and Process Methods describes tools for evaluating and improving processes. The book begins by discussing creating control charts, which let you visualize process measurements over time, quantify common cause variation, and identify special cause variation. Details about estimating your process capability based on measurement systems analysis studies are included. Lastly, the book discusses Pareto plots and cause-and-effect diagrams to identify root causes of variability.
JMP 14 Multivariate Methods describes techniques for analyzing several variables simultaneously. The book covers descriptive measures, such as correlations. It also describes methods that give insight into the structure of the multivariate data, such as clustering, latent class analysis, principal components, discriminant analysis, and partial least squares.
JMP 14 Reliability and Survival Methods provides details about evaluating and improving reliability in a product or system and analyzing survival data for people and products. The book explains how to fit the best distribution to your time-to-event data or analyze destruction data. A few other topics include analyzing competing causes of failure, modeling reliability as improvements are made over time, and analyzing recurring events.
Using JMP 14 shows you how to perform common tasks such as importing data, setting column properties, exporting analyses as graphics or HTML, and modifying JMP preferences. Details about connecting to SAS and working in the Formula Editor are also provided.
Master Statistical Quality Control using JMP ! Using examples from the popular textbook by Douglas Montgomery, Introduction to Statistical Quality Control: A JMP Companion demonstrates the powerful Statistical Quality Control (SQC) tools found in JMP. Geared toward students and practitioners of SQC who are using these techniques to monitor and improve products and processes, this companion provides step-by-step instructions on how to use JMP to generate the output and solutions found in Montgomery’s book. The authors combine their many years of experience as passionate practitioners of SQC and their expertise using JMP to highlight the recent advances in JMP’s Analyze menu, and in particular, Quality and Process. Key JMP platforms include: Control Chart Builder CUSUM Control Chart Control Chart (XBar, IR, P, NP, C, U, UWMA, EWMA, CUSUM) Process Screening Process Capability Measurement System Analysis Time Series Multivariate Control Chart Multivariate and Principal Components Distribution For anyone who wants to learn how to use JMP to more easily explore data using tools associated with Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Advanced Statistical Process Control, and Process Health Assessment, this book is a must!
JMP 14 Basic Analysis covers the initial types of analyses that you often perform in JMP, such as univariate, bivariate, and oneway analyses. Creating tables of summary statistics with the Tabulate platform is included along with approximating sampling distributions using bootstrapping. Find information about how to clean up your data before performing analyses. Read about performing powerful parametric and nonparametric simulation capability using Simulation.
The industry's top guide to software quality -- completely updated! Practical techniques for mission-critical and commercial software. Build a great software quality organization. Prepare for ASQ Software Quality Engineer Certification. Software quality assurance has never been more challenging -- nor more business-critical. In this completely updated guide, sixteen of the world's leading SQA experts share their practical experience with the full range of techniques available for managing software quality. Discover the best ways to organize, staff and improve your software quality organization. Learn how to make the most of inspections, software configuration management, Pareto charts, metrics, statistical methods, CASE tools and other key SQA tools and approaches. "Handbook of Software Quality Assurance, Third Edition "shows you how to: Hire the right software quality professionals -- and get the best from them Structure your software quality program for maximum effectiveness Understand the role of software quality assurance in supporting the SEI Capability Maturity Model Leverage proven quality techniques from other fields Learn today's best practices for managing SQA in commercial software, customized mission-critical software, and embedded systems. Master the specialized techniques, standards, guidelines and rules for managing software safety, and walk through a state-of-the-art SQA case study at Boeing Space Transportation's Systems Software organization. Whether you're a software developer or customer, if you want more reliable software, this end-to-end guide will help you get it.
9th International Meeting, CIBB 2012, Houston, TX, USA, July 12-14, 2012. Revised Selected Papers
Author: Leif E Peterson
This book constitutes the refereed proceedings of the 9th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2012, held in Houston, TX, USA during in July 2012. The 16 revised full papers presented were carefully reviewed and selected from 23 submissions. The papers are organized in topical sections on relativistic heavy ions and DNA damage; image segmentation; proteomics; RNA and DNA sequence analysis; RNA, DNA, and SNP microarrays; semi-supervised/unsupervised cluster analysis.
With a growing number of scientists and engineers using JMP software for design of experiments, there is a need for an example-driven book that supports the most widely used textbook on the subject, Design and Analysis of Experiments by Douglas C. Montgomery. Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP meets this need and demonstrates all of the examples from the Montgomery text using JMP. In addition to scientists and engineers, undergraduate and graduate students will benefit greatly from this book. While users need to learn the theory, they also need to learn how to implement this theory efficiently on their academic projects and industry problems. In this first book of its kind using JMP software, Rushing, Karl and Wisnowski demonstrate how to design and analyze experiments for improving the quality, efficiency, and performance of working systems using JMP. Topics include JMP software, two-sample t-test, ANOVA, regression, design of experiments, blocking, factorial designs, fractional-factorial designs, central composite designs, Box-Behnken designs, split-plot designs, optimal designs, mixture designs, and 2 k factorial designs. JMP platforms used include Custom Design, Screening Design, Response Surface Design, Mixture Design, Distribution, Fit Y by X, Matched Pairs, Fit Model, and Profiler. With JMP software, Montgomery’s textbook, and Design and Analysis of Experiments by Douglas Montgomery: A Supplement for Using JMP, users will be able to fit the design to the problem, instead of fitting the problem to the design. This book is part of the SAS Press program.
Process and Product Optimization Using Designed Experiments
Author: Raymond H. Myers
Publisher: John Wiley & Sons
Praise for the Second Edition: "This book [is for] anyone who would like a good, solid understanding of response surface methodology. The book is easy to read, easy to understand, and very applicable. The examples are excellent and facilitate learning of the concepts and methods." ?Journal of Quality Technology Complete with updates that capture the important advances in the field of experimental design, Response Surface Methodology, Third Edition successfully provides a basic foundation for understanding and implementing response surface methodology (RSM) in modern applications. The book continues to outline the essential statistical experimental design fundamentals, regression modeling techniques, and elementary optimization methods that are needed to fit a response surface model from experimental data. With its wealth of new examples and use of the most up-to-date software packages, this book serves as a complete and modern introduction to RSM and its uses across scientific and industrial research. This new edition maintains its accessible approach to RSM, with coverage of classical and modern response surface designs. Numerous new developments in RSM are also treated in full, including optimal designs for RSM, robust design, methods for design evaluation, and experiments with restrictions on randomization as well as the expanded integration of these concepts into computer software. Additional features of the Third Edition include: Inclusion of split-plot designs in discussion of two-level factorial designs, two-level fractional factorial designs, steepest ascent, and second-order models A new section on the Hoke design for second-order response surfaces New material on experiments with computer models Updated optimization techniques useful in RSM, including multiple responses Thorough treatment of presented examples and experiments using JMP 7, Design-Expert Version 7, and SAS software packages Revised and new exercises at the end of each chapter An extensive references section, directing the reader to the most current RSM research Assuming only a fundamental background in statistical models and matrix algebra, Response Surface Methodology, Third Edition is an ideal book for statistics, engineering, and physical sciences courses at the upper-undergraduate and graduate levels. It is also a valuable reference for applied statisticians and practicing engineers.
This book examines statistical techniques that are critically important to Chemistry, Manufacturing, and Control (CMC) activities. Statistical methods are presented with a focus on applications unique to the CMC in the pharmaceutical industry. The target audience consists of statisticians and other scientists who are responsible for performing statistical analyses within a CMC environment. Basic statistical concepts are addressed in Chapter 2 followed by applications to specific topics related to development and manufacturing. The mathematical level assumes an elementary understanding of statistical methods. The ability to use Excel or statistical packages such as Minitab, JMP, SAS, or R will provide more value to the reader. The motivation for this book came from an American Association of Pharmaceutical Scientists (AAPS) short course on statistical methods applied to CMC applications presented by four of the authors. One of the course participants asked us for a good reference book, and the only book recommended was written over 20 years ago by Chow and Liu (1995). We agreed that a more recent book would serve a need in our industry. Since we began this project, an edited book has been published on the same topic by Zhang (2016). The chapters in Zhang discuss statistical methods for CMC as well as drug discovery and nonclinical development. We believe our book complements Zhang by providing more detailed statistical analyses and examples.
Published in association with the Society for Vascular Surgery, Rutherford’s Vascular Surgery presents state-of-the-art updates on all aspects of vascular health care. Extensively revised by many new authors to meet the needs of surgeons, interventionalists, and vascular medicine specialists, this medical reference book incorporates medical, endovascular and surgical treatment, as well as diagnostic techniques, decision making and fundamental vascular biology. Consult this title on your favorite e-reader, conduct rapid searches, and adjust font sizes for optimal readability. Master the latest developments, techniques, and approaches with thorough updates on endovascular applications, vascular access, imaging, non-operative management, and much more. View clinical and physical findings and operative techniques more vividly with a full-color layout and images. Get answers you can depend on. Rutherford's delivers the world’s most trusted information on all major areas of vascular health care, is written by international experts, and includes up-to-date bibliographies and annotated recommended references. Discover emerging techniques in rapidly advancing topics, with special emphasis on endovascular coverage, vascular imaging, angiography, CT and MRI. Explore brand new chapters on dialysis catheters, renovascular disease, and management of branches during endovascular aneurysm. Stay up-to-date with the latest coverage of endovascular procedures that reflects the changing practices and techniques in vascular surgery. Access videos at Expert Consult.
Chemical Carcinogenesis, Hazard Evaluation, and Risk Quantification
Author: Ching-Hung Hsu
Publisher: John Wiley & Sons
With a weight-of-the-evidence approach, cancer risk assessment indentifies hazards, determines dose-response relationships, and assesses exposure to characterize the true risk. This book focuses on the quantitative methods for conducting chemical cancer risk assessments for solvents, metals, mixtures, and nanoparticles. It links these to the basic toxicology and biology of cancer, along with the impacts on regulatory guidelines and standards. By providing insightful perspective, Cancer Risk Assessment helps researchers develop a discriminate eye when it comes to interpreting data accurately and separating relevant information from erroneous.