e-book

Statistics for engineers and scientists

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The idea for this book grew out of discussions between the statistics faculty and the
engineering faculty at the Colorado School of Mines regarding our introductory statistics
course for engineers. Our engineering faculty felt that the students needed substantial
coverage of propagation of error, as well as more emphasis on model-fitting
skills. The statistics faculty believed that students needed to become more aware of
some important practical statistical issues such as the checking of model assumptions
and the use of simulation.

My view is that an introductory statistics text for students in engineering and science
should offer all these topics in some depth. In addition, it should be flexible
enough to allow for a variety of choices to be made regarding coverage, because there
are many different ways to design a successful introductory statistics course. Finally,
it should provide examples that present important ideas in realistic settings. Accordingly,
the book has the following features:
• The book is flexible in its presentation of probability, allowing instructors wide latitude
in choosing the depth and extent of their coverage of this topic.
• The book contains many examples that feature real, contemporary data sets, both
to motivate students and to show connections to industry and scientific research.
• The book contains many examples of computer output and exercises suitable for
solving with computer software.
• The book provides extensive coverage of propagation of error.
• The book presents a solid introduction to simulation methods and the bootstrap,
including applications to verifying normality assumptions, computing probabilities,
estimating bias, computing confidence intervals, and testing hypotheses.
• The book provides more extensive coverage of linear model diagnostic procedures
than is found in most introductory texts. This includes material on examination of
residual plots, transformations of variables, and principles of variable selection in
multivariate models.
• The book covers the standard introductory topics, including descriptive statistics,
probability, confidence intervals, hypothesis tests, linear regression, factorial
experiments, and statistical quality control.

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Ketersediaan

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Informasi Detail

Judul Seri

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No. Panggil

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Penerbit

New York : The McGraw-Hill Companies, Inc.., 2010

Deskripsi Fisik

QA276.4.N38 - 519.5—dc22

Bahasa

English

ISBN/ISSN

978-0-07-337633-2

Klasifikasi

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Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

3rd ed.

Subjek

STATISTIK

Info Detail Spesifik

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Pernyataan Tanggungjawab

agus

Versi lain/terkait

Lampiran Berkas

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