Introduction To Design Of Experiments With Jmp Examples

Download Introduction To Design Of Experiments With Jmp Examples full books in PDF, epub, and Kindle. Read online Introduction To Design Of Experiments With Jmp Examples ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Design and Analysis of Experiments by Douglas Montgomery

Author : Heath Rushing
Publisher : SAS Institute
ISBN 13 : 1612908012
Total Pages : 302 pages
Book Rating : 4.6/5 (129 download)

DOWNLOAD NOW!

Book Synopsis Design and Analysis of Experiments by Douglas Montgomery by : Heath Rushing

Download or read book Design and Analysis of Experiments by Douglas Montgomery written by Heath Rushing and published by SAS Institute. This book was released on 2014-11-12 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Design and Analysis of Experiments

Author : Douglas C. Montgomery
Publisher : Wiley
ISBN 13 : 9780471661597
Total Pages : 0 pages
Book Rating : 4.6/5 (615 download)

DOWNLOAD NOW!

Book Synopsis Design and Analysis of Experiments by : Douglas C. Montgomery

Download or read book Design and Analysis of Experiments written by Douglas C. Montgomery and published by Wiley. This book was released on 2005 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

Optimal Design of Experiments

Author : Peter Goos
Publisher : John Wiley & Sons
ISBN 13 : 1119976162
Total Pages : 249 pages
Book Rating : 4.1/5 (199 download)

DOWNLOAD NOW!

Book Synopsis Optimal Design of Experiments by : Peter Goos

Download or read book Optimal Design of Experiments written by Peter Goos and published by John Wiley & Sons. This book was released on 2011-06-28 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

Biostatistics Using JMP

Author : Trevor Bihl
Publisher : SAS Institute
ISBN 13 : 1635262410
Total Pages : 472 pages
Book Rating : 4.6/5 (352 download)

DOWNLOAD NOW!

Book Synopsis Biostatistics Using JMP by : Trevor Bihl

Download or read book Biostatistics Using JMP written by Trevor Bihl and published by SAS Institute. This book was released on 2017-10-03 with total page 472 pages. Available in PDF, EPUB and Kindle. Book excerpt: Analyze your biostatistics data with JMP! Trevor Bihl's Biostatistics Using JMP: A Practical Guide provides a practical introduction on using JMP, the interactive statistical discovery software, to solve biostatistical problems. Providing extensive breadth, from summary statistics to neural networks, this essential volume offers a comprehensive, step-by-step guide to using JMP to handle your data. The first biostatistical book to focus on software, Biostatistics Using JMP discusses such topics as data visualization, data wrangling, data cleaning, histograms, box plots, Pareto plots, scatter plots, hypothesis tests, confidence intervals, analysis of variance, regression, curve fitting, clustering, classification, discriminant analysis, neural networks, decision trees, logistic regression, survival analysis, control charts, and metaanalysis. Written for university students, professors, those who perform biological/biomedical experiments, laboratory managers, and research scientists, Biostatistics Using JMP provides a practical approach to using JMP to solve your biostatistical problems.

Introduction to Biostatistics with JMP

Author : Steve Figard
Publisher : SAS Institute
ISBN 13 : 1635267188
Total Pages : 239 pages
Book Rating : 4.6/5 (352 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Biostatistics with JMP by : Steve Figard

Download or read book Introduction to Biostatistics with JMP written by Steve Figard and published by SAS Institute. This book was released on 2019-10-04 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore biostatistics using JMP® in this refreshing introduction Presented in an easy-to-understand way, Introduction to Biostatistics with JMP® introduces undergraduate students in the biological sciences to the most commonly used (and misused) statistical methods that they will need to analyze their experimental data using JMP. It covers many of the basic topics in statistics using biological examples for exercises so that the student biologists can see the relevance to future work in the problems addressed. The book starts by teaching students how to become confident in executing the right analysis by thinking like a statistician then moves into the application of specific tests. Using the powerful capabilities of JMP, the book addresses problems requiring analysis by chi-square tests, t tests, ANOVA analysis, various regression models, DOE, and survival analysis. Topics of particular interest to the biological or health science field include odds ratios, relative risk, and survival analysis. The author uses an engaging, conversational tone to explain concepts and keep readers interested in learning more. The book aims to create bioscientists who can competently incorporate statistics into their investigative toolkits to solve biological research questions as they arise.

JMP Start Statistics

Author : John Sall
Publisher : SAS Institute
ISBN 13 : 1629608785
Total Pages : 660 pages
Book Rating : 4.6/5 (296 download)

DOWNLOAD NOW!

Book Synopsis JMP Start Statistics by : John Sall

Download or read book JMP Start Statistics written by John Sall and published by SAS Institute. This book was released on 2017-02-21 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides hands-on tutorials with just the right amount of conceptual and motivational material to illustrate how to use the intuitive interface for data analysis in JMP. Each chapter features concept-specific tutorials, examples, brief reviews of concepts, step-by-step illustrations, and exercises. Updated for JMP 13, JMP Start Statistics, Sixth Edition includes many new features, including: The redesigned Formula Editor. New and improved ways to create formulas in JMP directly from the data table or dialogs. Interface updates, including improved menu layout. Updates and enhancements in many analysis platforms. New ways to get data into JMP and to save and share JMP results. Many new features that make it easier to use JMP.

Practical Data Analysis with JMP, Third Edition

Author : Robert Carver
Publisher : SAS Institute
ISBN 13 : 1642956120
Total Pages : 530 pages
Book Rating : 4.6/5 (429 download)

DOWNLOAD NOW!

Book Synopsis Practical Data Analysis with JMP, Third Edition by : Robert Carver

Download or read book Practical Data Analysis with JMP, Third Edition written by Robert Carver and published by SAS Institute. This book was released on 2019-10-18 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the concepts and techniques of statistical analysis using JMP Practical Data Analysis with JMP, Third Edition, highlights the powerful interactive and visual approach of JMP to introduce readers to statistical thinking and data analysis. It helps you choose the best technique for the problem at hand by using real-world cases. It also illustrates best-practice workflow throughout the entire investigative cycle, from asking valuable questions through data acquisition, preparation, analysis, interpretation, and communication of findings. The book can stand on its own as a learning resource for professionals, or it can be used to supplement a college-level textbook for an introductory statistics course. It includes varied examples and problems using real sets of data. Each chapter typically starts with an important or interesting research question that an investigator has pursued. Reflecting the broad applicability of statistical reasoning, the problems come from a wide variety of disciplines, including engineering, life sciences, business, and economics, as well as international and historical examples. Application Scenarios at the end of each chapter challenge you to use your knowledge and skills with data sets that go beyond mere repetition of chapter examples. New in the third edition, chapters have been updated to demonstrate the enhanced capabilities of JMP, including projects, Graph Builder, Query Builder, and Formula Depot.

Introduction to Design of Experiments with JMP Examples

Author : Jacques Goupy
Publisher : SAS Press
ISBN 13 : 9781599944227
Total Pages : 0 pages
Book Rating : 4.9/5 (442 download)

DOWNLOAD NOW!

Book Synopsis Introduction to Design of Experiments with JMP Examples by : Jacques Goupy

Download or read book Introduction to Design of Experiments with JMP Examples written by Jacques Goupy and published by SAS Press. This book was released on 2007 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Illustrated with numerous real-world examples borrowed from a broad base of industries, this updated edition employs a gentle, progressive approach to using designed experiments. It covers basic ideas, terminology, and the application of techniques necessary to conduct a study using the design of experiments (DOE) framework.

The Design and Analysis of Computer Experiments

Author : Thomas J. Santner
Publisher : Springer
ISBN 13 : 1493988476
Total Pages : 446 pages
Book Rating : 4.4/5 (939 download)

DOWNLOAD NOW!

Book Synopsis The Design and Analysis of Computer Experiments by : Thomas J. Santner

Download or read book The Design and Analysis of Computer Experiments written by Thomas J. Santner and published by Springer. This book was released on 2019-01-08 with total page 446 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes methods for designing and analyzing experiments that are conducted using a computer code, a computer experiment, and, when possible, a physical experiment. Computer experiments continue to increase in popularity as surrogates for and adjuncts to physical experiments. Since the publication of the first edition, there have been many methodological advances and software developments to implement these new methodologies. The computer experiments literature has emphasized the construction of algorithms for various data analysis tasks (design construction, prediction, sensitivity analysis, calibration among others), and the development of web-based repositories of designs for immediate application. While it is written at a level that is accessible to readers with Masters-level training in Statistics, the book is written in sufficient detail to be useful for practitioners and researchers. New to this revised and expanded edition: • An expanded presentation of basic material on computer experiments and Gaussian processes with additional simulations and examples • A new comparison of plug-in prediction methodologies for real-valued simulator output • An enlarged discussion of space-filling designs including Latin Hypercube designs (LHDs), near-orthogonal designs, and nonrectangular regions • A chapter length description of process-based designs for optimization, to improve good overall fit, quantile estimation, and Pareto optimization • A new chapter describing graphical and numerical sensitivity analysis tools • Substantial new material on calibration-based prediction and inference for calibration parameters • Lists of software that can be used to fit models discussed in the book to aid practitioners

Design of Experiments

Author : Bradley Jones
Publisher : Wiley Global Education
ISBN 13 : 1119611237
Total Pages : 275 pages
Book Rating : 4.1/5 (196 download)

DOWNLOAD NOW!

Book Synopsis Design of Experiments by : Bradley Jones

Download or read book Design of Experiments written by Bradley Jones and published by Wiley Global Education. This book was released on 2019-12-12 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design of Experiments: A Modern Approach introduces readers to planning and conducting experiments, analyzing the resulting data, and obtaining valid and objective conclusions. This innovative textbook uses design optimization as its design construction approach, focusing on practical experiments in engineering, science, and business rather than orthogonal designs and extensive analysis. Requiring only first-course knowledge of statistics and familiarity with matrix algebra, student-friendly chapters cover the design process for a range of various types of experiments. The text follows a traditional outline for a design of experiments course, beginning with an introduction to the topic, historical notes, a review of fundamental statistics concepts, and a systematic process for designing and conducting experiments. Subsequent chapters cover simple comparative experiments, variance analysis, two-factor factorial experiments, randomized complete block design, response surface methodology, designs for nonlinear models, and more. Readers gain a solid understanding of the role of experimentation in technology commercialization and product realization activities—including new product design, manufacturing process development, and process improvement—as well as many applications of designed experiments in other areas such as marketing, service operations, e-commerce, and general business operations.

Modern Experimental Design

Author : Thomas P. Ryan
Publisher : John Wiley & Sons
ISBN 13 : 0470074345
Total Pages : 620 pages
Book Rating : 4.4/5 (7 download)

DOWNLOAD NOW!

Book Synopsis Modern Experimental Design by : Thomas P. Ryan

Download or read book Modern Experimental Design written by Thomas P. Ryan and published by John Wiley & Sons. This book was released on 2006-12-22 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete and well-balanced introduction to modern experimental design Using current research and discussion of the topic along with clear applications, Modern Experimental Design highlights the guiding role of statistical principles in experimental design construction. This text can serve as both an applied introduction as well as a concise review of the essential types of experimental designs and their applications. Topical coverage includes designs containing one or multiple factors, designs with at least one blocking factor, split-unit designs and their variations as well as supersaturated and Plackett-Burman designs. In addition, the text contains extensive treatment of: Conditional effects analysis as a proposed general method of analysis Multiresponse optimization Space-filling designs, including Latin hypercube and uniform designs Restricted regions of operability and debarred observations Analysis of Means (ANOM) used to analyze data from various types of designs The application of available software, including Design-Expert, JMP, and MINITAB This text provides thorough coverage of the topic while also introducing the reader to new approaches. Using a large number of references with detailed analyses of datasets, Modern Experimental Design works as a well-rounded learning tool for beginners as well as a valuable resource for practitioners.

Response Surface Methodology

Author : Raymond H. Myers
Publisher : John Wiley & Sons
ISBN 13 : 1118916034
Total Pages : 854 pages
Book Rating : 4.1/5 (189 download)

DOWNLOAD NOW!

Book Synopsis Response Surface Methodology by : Raymond H. Myers

Download or read book Response Surface Methodology written by Raymond H. Myers and published by John Wiley & Sons. This book was released on 2016-01-04 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for the Third Edition: “This new third edition has been substantially rewritten and updated with new topics and material, new examples and exercises, and to more fully illustrate modern applications of RSM.” - Zentralblatt Math Featuring a substantial revision, the Fourth Edition of Response Surface Methodology: Process and Product Optimization Using Designed Experiments presents updated coverage on the underlying theory and applications of response surface methodology (RSM). Providing the assumptions and conditions necessary to successfully apply RSM in modern applications, the new edition covers classical and modern response surface designs in order to present a clear connection between the designs and analyses in RSM. With multiple revised sections with new topics and expanded coverage, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition includes: Many updates on topics such as optimal designs, optimization techniques, robust parameter design, methods for design evaluation, computer-generated designs, multiple response optimization, and non-normal responses Additional coverage on topics such as experiments with computer models, definitive screening designs, and data measured with error Expanded integration of examples and experiments, which present up-to-date software applications, such as JMP®, SAS, and Design-Expert®, throughout An extensive references section to help readers stay up-to-date with leading research in the field of RSM An ideal textbook for upper-undergraduate and graduate-level courses in statistics, engineering, and chemical/physical sciences, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, Fourth Edition is also a useful reference for applied statisticians and engineers in disciplines such as quality, process, and chemistry.

A First Course in Design and Analysis of Experiments

Author : Gary W. Oehlert
Publisher : W. H. Freeman
ISBN 13 : 9780716735106
Total Pages : 600 pages
Book Rating : 4.7/5 (351 download)

DOWNLOAD NOW!

Book Synopsis A First Course in Design and Analysis of Experiments by : Gary W. Oehlert

Download or read book A First Course in Design and Analysis of Experiments written by Gary W. Oehlert and published by W. H. Freeman. This book was released on 2000-01-19 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Oehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.

Experimental Design for Formulation

Author : Wendell F. Smith
Publisher : SIAM
ISBN 13 : 9780898718393
Total Pages : 386 pages
Book Rating : 4.7/5 (183 download)

DOWNLOAD NOW!

Book Synopsis Experimental Design for Formulation by : Wendell F. Smith

Download or read book Experimental Design for Formulation written by Wendell F. Smith and published by SIAM. This book was released on 2005-01-01 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many products, such as foods, personal-care products, beverages, and cleaning agents, are made by mixing ingredients together. This book describes a systematic methodology for formulating such products so that they perform according to one's goals, providing scientists and engineers with a fast track to the implementation of the methodology. Experimental Design for Formulation contains examples from a wide variety of fields and includes a discussion of how to design experiments for a mixture setting and how to fit and interpret models in a mixture setting. It also introduces process variables, the combining of mixture and nonmixture variables in a designed experiment, and the concept of collinearity and the possible problems that can result from its presence. Experimental Design for Formulation is a useful manual for the formulator and can also be used by a resident statistician to teach an in-house short course. Statistical proofs are largely absent, and the formulas that are presented are included to explain how the various software packages carry out the analysis. Many examples are given of output from statistical software packages, and the proper interpretation of computer output is emphasized. Other topics presented include a discussion of an effect in a mixture setting, the presentation of elementary optimization methods, and multiple-response optimization wherein one seeks to optimize more than one response.

Fundamentals of Statistical Experimental Design and Analysis

Author : Robert G. Easterling
Publisher : John Wiley & Sons
ISBN 13 : 1118954637
Total Pages : 268 pages
Book Rating : 4.1/5 (189 download)

DOWNLOAD NOW!

Book Synopsis Fundamentals of Statistical Experimental Design and Analysis by : Robert G. Easterling

Download or read book Fundamentals of Statistical Experimental Design and Analysis written by Robert G. Easterling and published by John Wiley & Sons. This book was released on 2015-09-08 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: Professionals in all areas – business; government; the physical, life, and social sciences; engineering; medicine, etc. – benefit from using statistical experimental design to better understand their worlds and then use that understanding to improve the products, processes, and programs they are responsible for. This book aims to provide the practitioners of tomorrow with a memorable, easy to read, engaging guide to statistics and experimental design. This book uses examples, drawn from a variety of established texts, and embeds them in a business or scientific context, seasoned with a dash of humor, to emphasize the issues and ideas that led to the experiment and the what-do-we-do-next? steps after the experiment. Graphical data displays are emphasized as means of discovery and communication and formulas are minimized, with a focus on interpreting the results that software produce. The role of subject-matter knowledge, and passion, is also illustrated. The examples do not require specialized knowledge, and the lessons they contain are transferrable to other contexts. Fundamentals of Statistical Experimental Design and Analysis introduces the basic elements of an experimental design, and the basic concepts underlying statistical analyses. Subsequent chapters address the following families of experimental designs: Completely Randomized designs, with single or multiple treatment factors, quantitative or qualitative Randomized Block designs Latin Square designs Split-Unit designs Repeated Measures designs Robust designs Optimal designs Written in an accessible, student-friendly style, this book is suitable for a general audience and particularly for those professionals seeking to improve and apply their understanding of experimental design.

Designed Experiments for Science and Engineering

Author : Michael D. Holloway
Publisher : CRC Press
ISBN 13 : 1040186130
Total Pages : 949 pages
Book Rating : 4.0/5 (41 download)

DOWNLOAD NOW!

Book Synopsis Designed Experiments for Science and Engineering by : Michael D. Holloway

Download or read book Designed Experiments for Science and Engineering written by Michael D. Holloway and published by CRC Press. This book was released on 2024-12-19 with total page 949 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed Experiments for Science and Engineering is a versatile and overarching toolkit that explores various methods of designing experiments for over 20 disciplines in science and engineering. Designed experiments provide a structured approach to hypothesis testing, data analysis, and decision‐making. They allow researchers and engineers to efficiently explore multiple factors, interactions, and their impact on outcomes, ultimately leading to better‐designed processes, products, and systems across a wide range of scientific and engineering disciplines. Each discipline covered in this book includes the key characteristics of the steps in choosing and executing the experimental designs (one factor, fractional factorial, mixture experimentation, factor central composite, 3‐factor + central composite, etc.) and reviews the various statistical tools used as well as the steps in how to utilize each (standard deviation analysis, analysis of variance [ANOVA], relative standard deviation, bias analysis, etc.). This book is essential reading for students and professionals who are involved in research and development within various fields in science and engineering, such as mechanical engineering, environmental science, manufacturing, and aerospace engineering.

Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications

Author : Carrillo-Cedillo, Eugenia Gabriela
Publisher : IGI Global
ISBN 13 : 179981520X
Total Pages : 429 pages
Book Rating : 4.7/5 (998 download)

DOWNLOAD NOW!

Book Synopsis Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications by : Carrillo-Cedillo, Eugenia Gabriela

Download or read book Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications written by Carrillo-Cedillo, Eugenia Gabriela and published by IGI Global. This book was released on 2019-12-13 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.