Design and Analysis of Experiments by Douglas Montgomery : A Supplement for Using JMP / Heath Rushing, Andrew Karl, and James Wisnowski.

Format:

Book

Author/Creator:

Rushing, Heath, author.

Karl, Andrew, author.

Wisnowski, James, author.

Contributor:

SAS Institute.

Language:

English

Subjects (All):

Data mining.

JMP (Computer file).

Physical Description:

1 online resource (1 volume) : illustrations

Edition:

First edition.

Place of Publication:

Cary, North Carolina : SAS Institute Inc., [2013]

Language Note:

English

System Details:

text file

Summary:

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.

Contents:

Introduction

Simple comparative experiments

Experiments with a single factor : the analysis of variance

Randomized blocks, Latin squares, and related designs

Introduction to factorial designs

The 2k factorial design

Blocking and confounding in the 2k factorial design

Two-level fractional factorial designs

Three-level and mixed-level factorial and fractional factorial designs

Fitting regression models

Response surface methods and designs

Robust parameter design and process robustness studies

Experiments with random factors

Nested and split-plot designs

Other design and analysis topics.

Notes:

Bibliographic Level Mode of Issuance: Monograph

Description based on print version record.

ISBN:

9781612908014

1612908012

OCLC:

900192815