Design of Experiments Statistical Principles of Research Design and Analysis
Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic sett...
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Main Author: | |
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Format: | Book |
Language: | English |
Published: |
Australia
Brooks/Cole Cengage Learning
2000
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Edition: | SECOND EDITION |
Subjects: | |
Online Access: | Click Here to View Status and Holdings. |
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001 | wils-217135 | ||
005 | 2018721155542 | ||
020 | # | # | |a 0534368344 |q hardback |
020 | # | # | |a 9780534368340 |q hardback |
040 | # | # | |a UiTM |d UiTM |e rda |
041 | 0 | # | |a eng |
090 | 0 | 0 | |a Q182.3 |b .K84 2000 |
100 | 1 | # | |a Kuehl, Robert O. |e author |
245 | 1 | 0 | |a Design of Experiments |b Statistical Principles of Research Design and Analysis |c Robert O. Kuehl, The University of Arizona |
250 | # | # | |a SECOND EDITION |
264 | # | 1 | |a Australia |b Brooks/Cole Cengage Learning |c 2000 |
264 | # | 4 | |c ©2000 |
300 | # | # | |a xvi, 666 pages |b illustrations |c 24 cm |
336 | # | # | |a text |2 rdacontent |
337 | # | # | |a unmediated |2 rdamedia |
338 | # | # | |a volume |2 rdacarrier |
500 | # | # | |a Includes index |
504 | # | # | |a Includes bibliographical references and indexes (page 661-666) |
520 | # | # | |a Robert Kuehl's DESIGN OF EXPERIMENTS, Second Edition, prepares students to design and analyze experiments that will help them succeed in the real world. Kuehl uses a large array of real data sets from a broad spectrum of scientific and technological fields. This approach provides realistic settings for conducting actual research projects. Next, he emphasizes the importance of developing a treatment design based on a research hypothesis as an initial step, then developing an experimental or observational study design that facilitates efficient data collection. In addition to a consistent focus on research design, Kuehl offers an interpretation for each analysis. |
650 | # | 0 | |a Research |x Statistical methods |
650 | # | 0 | |a Numerical analysis |
650 | # | 0 | |a Science |x Experiments |x Statistical methods |
650 | # | 0 | |a Statistics |
856 | 4 | 0 | |z Click Here to View Status and Holdings. |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=217135 |