An edition of Statistics for experimenters (1978)

Statistics for experimenters

design, innovation, and discovery

2nd ed.
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Last edited by MARC Bot
November 9, 2025 | History
An edition of Statistics for experimenters (1978)

Statistics for experimenters

design, innovation, and discovery

2nd ed.
  • 13 Want to read
  • 1 Have read

The second edition of Statistics for Experimenters focuses on applications in the physical, engineering, biological, and social sciences. From the beginning, the book's source of ideas is the scientific method itself and the need of the investigator to make his or her research as effective as possible through proper choice and conduct of experiments and appropriate analysis of data. After a problem is stated, appropriate statistical methods of design and analysis are discussed. And frequently, examples are presented for which standard mathematical assumptions are wrong, thus forcing the reader's attention onto the essential precautions necessary in the conduct of the experiment to ensure valid conclusions.

Publish Date
Publisher
Wiley-Interscience
Language
English
Pages
633

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Previews available in: English

Edition Availability
Cover of: Statistics for experimenters
Statistics for experimenters: design, innovation, and discovery
2005, Wiley-Interscience
in English - 2nd ed.
Cover of: Statistics for experimenters

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Book Details


Edition Notes

Includes bibliographical references and indexes.

Published in
Hoboken, N.J
Series
Wiley series in probability and statistics

Classifications

Dewey Decimal Class
519.5
Library of Congress
QA279 .B69 2005, QA279.B69 2005

The Physical Object

Pagination
xvii, 633 p. :
Number of pages
633

Edition Identifiers

Open Library
OL3311833M
ISBN 10
0471718130
ISBN 13
9780471718130
LCCN
2004063780
OCLC/WorldCat
57286064
LibraryThing
243620
Goodreads
815344

Work Identifiers

Work ID
OL2181531W

Work Description

Introduces the philosophy of experimentation and the part that statistics play in experimentation. Emphasizes the need to develop a capability for "statistical thinking" by using examples drawn from actual case studies.

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