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Design of Experiments : A Modern Approach by Bradley Jones and Douglas C. Montgomery (2020, Trade Paperback)

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About this product

Product Identifiers

PublisherWiley & Sons, Incorporated, John

ISBN-101119746019

ISBN-139781119746010

eBay Product ID (ePID)18050092397

Product Key Features

Number of Pages272 Pages

LanguageEnglish

Publication NameDesign of Experiments : a Modern Approach

SubjectIndustrial Engineering

Publication Year2020

TypeTextbook

Subject AreaTechnology & Engineering

AuthorBradley Jones, Douglas C. Montgomery

FormatTrade Paperback

Dimensions

Item Height0.5 in

Item Weight16.8 Oz

Item Length9.9 in

Item Width7.9 in

Additional Product Features

Intended AudienceCollege Audience

Dewey Edition23

IllustratedYes

Dewey Decimal519.538

SynopsisDesign 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.

LC Classification NumberQA279.J66 2020