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Statistics for experimenters design,...

Box, George E. P.

Statistics for experimenters design, innovation, and discovery

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	519.5
書名/作者:	Statistics for experimenters : design, innovation, and discovery / George E.P. Box, J. Stuart Hunter, William G. Hunter.
作者:	Box, George E. P.
其他作者:	Hunter, J. Stuart,
出版者:	Hoboken, N.J. : Wiley-Interscience, c2005.
面頁冊數:	xvii, 633 p. : ill. ; 25 cm.
標題:	Experimental design.
標題:	Analysis of variance.
標題:	Mathematical statistics.
標題:	Analysis of Variance.
標題:	Research Design.
標題:	Plan d'expérience.
標題:	Analyse de variance.
標題:	Statistique mathématique.
標題:	Onderzoeksontwerp.
標題:	Data-analyse.
標題:	Statistische methoden.
標題:	Variantieanalyse.
ISBN:	0471718130 (acid-free paper)
ISBN:	9780471718130 (acid-free paper)
書目註:	Includes bibliographical references and indexes.
內容註:	Catalizing the generation of knowledge -- Basics (probability, parameters and statistics) -- Comparing two entities : relevant reference distributions, tests, and confidence intervals -- Comparing a number of entities, randomized blocks and Latin squares -- Factorial designs at two levels -- Fraction factorial designs -- Additional fractionals and analysis -- Factorial designs and data transformation -- Multiple sources of variation -- Least squares and why we need designed experiments -- Modeling, geometry, and experimental design -- Some applications of response surface methods -- Designing robust products and processes --Process control, forecasting, and times series : an introduction -- Evolutionary process operation.
摘要、提要註:	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.
電子資源:	http://www.loc.gov/catdir/toc/wiley051/2004063780.html
電子資源:	http://www.loc.gov/catdir/enhancements/fy0619/2004063780-b.html
電子資源:	http://www.loc.gov/catdir/enhancements/fy0619/2004063780-d.html

Statistics for experimenters design, innovation, and discovery
Box, George E. P.

Statistics for experimenters design, innovation, and discovery George E.P. Box, J. Stuart Hunter, William G. Hunter. - 2nd ed. - Hoboken, N.J. Wiley-Intersciencec2005. - xvii, 633 p. ill. 25 cm. - Wiley series in probability and statistics. - Wiley series in probability and statistics..

Includes bibliographical references and indexes.

Catalizing the generation of knowledge -- Basics (probability, parameters and statistics) -- Comparing two entities : relevant reference distributions, tests, and confidence intervals -- Comparing a number of entities, randomized blocks and Latin squares -- Factorial designs at two levels -- Fraction factorial designs -- Additional fractionals and analysis -- Factorial designs and data transformation -- Multiple sources of variation -- Least squares and why we need designed experiments -- Modeling, geometry, and experimental design -- Some applications of response surface methods -- Designing robust products and processes --Process control, forecasting, and times series : an introduction -- Evolutionary process operation.

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.

ISBN: 0471718130 (acid-free paper)NTD 6,661Subjects--Topical Terms:

172416
Experimental design.

Dewey Class. No.: 519.5

Statistics for experimenters design, innovation, and discovery
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245 1 0 $a Statistics for experimenters $b design, innovation, and discovery $c George E.P. Box, J. Stuart Hunter, William G. Hunter.
250 $a 2nd ed.
260 # $a Hoboken, N.J. $b Wiley-Interscience $c c2005.
300 $a xvii, 633 p. $b ill. $c 25 cm.
490 1 $a Wiley series in probability and statistics
504 $a Includes bibliographical references and indexes.
505 0 # $a Catalizing the generation of knowledge -- Basics (probability, parameters and statistics) -- Comparing two entities : relevant reference distributions, tests, and confidence intervals -- Comparing a number of entities, randomized blocks and Latin squares -- Factorial designs at two levels -- Fraction factorial designs -- Additional fractionals and analysis -- Factorial designs and data transformation -- Multiple sources of variation -- Least squares and why we need designed experiments -- Modeling, geometry, and experimental design -- Some applications of response surface methods -- Designing robust products and processes --Process control, forecasting, and times series : an introduction -- Evolutionary process operation.
520 # $a 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.
650 # 0 $a Experimental design. $3 172416
650 # 0 $a Analysis of variance. $3 344489
650 # 0 $a Mathematical statistics. $3 171875
650 # 2 $a Analysis of Variance. $3 344490
650 # 2 $a Research Design. $3 344491
650 # 6 $a Plan d'expérience. $3 344492
650 # 6 $a Analyse de variance. $3 344493
650 # 6 $a Statistique mathématique. $3 344494
650 1 7 $a Onderzoeksontwerp. $2 gtt $3 344495
650 1 7 $a Data-analyse. $2 gtt $3 337215
650 1 7 $a Statistische methoden. $2 gtt $3 344496
650 1 7 $a Variantieanalyse. $2 gtt $3 344497
700 1 # $a Hunter, J. Stuart, $d 1923- $3 344487
700 1 # $a Hunter, William Gordon, $d 1937- $3 344488
830 0 $a Wiley series in probability and statistics. $3 337869
856 4 1 $3 Table of contents only $u http://www.loc.gov/catdir/toc/wiley051/2004063780.html
856 4 2 $3 Contributor biographical information $u http://www.loc.gov/catdir/enhancements/fy0619/2004063780-b.html
856 4 2 $3 Publisher description $u http://www.loc.gov/catdir/enhancements/fy0619/2004063780-d.html

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http://www.loc.gov/catdir/enhancements/fy0619/2004063780-d.html

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