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Design and analysis of experiments

Design and analysis of experiments (3회 대출)

자료유형
단행본
개인저자
Dean, Angela (Angela M.) Voss, Daniel.
서명 / 저자사항
Design and analysis of experiments / Angela Dean, Daniel Voss.
발행사항
New York :   Springer ,   1999.  
형태사항
xix, 740 p. : ill. ; 24 cm.
총서사항
Springer texts in statistics
ISBN
0387985611 (acid-free paper)
서지주기
Includes bibliographical references (p. [725]-730) and indexes.
일반주제명
Experimental design.
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245 1 0 ▼a Design and analysis of experiments / ▼c Angela Dean, Daniel Voss.
260 ▼a New York : ▼b Springer , ▼c 1999.
300 ▼a xix, 740 p. : ▼b ill. ; ▼c 24 cm.
440 0 ▼a Springer texts in statistics
504 ▼a Includes bibliographical references (p. [725]-730) and indexes.
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700 1 ▼a Voss, Daniel.
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소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 001.434 D281d 등록번호 111157692 (3회 대출) 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

책소개

The design and analysis of experiments is an essential part of investigation and discovery in science, of process and product improvement in manufacturing, and of comparison of competing protocols or treatments in the applied sciences. This book offers a step by step guide to the experimental planning process and the ensuing analysis of normally distributed data. Design and Analysis of Experiments emphasizes the practical considerations governing the design of an experiment based on the objectives of the study and a solid statistical foundation for the analysis. Almost all data sets in the book have been obtained from real experiments, either run by students in statistics and the applied sciences, or published in the scientific literature. Details of the planning stage of numerous different experiments are discussed. The statistical analysis of experimental data is based on estimable functions and is developed with some care. Design and Analysis of Experiments starts with basic principles and techniques of experimental design and analysis of experiments. It provides a checklist for the planning of experiments, and explains the estimation of treatment contrasts and analysis of variance. These basics are then applied in a wide variety of settings. Designs covered include completely randomized designs, complete and incomplete block designs, row-column designs, single replicate designs with confounding, fractional factorial designs, response surface designs, and designs involving nested factors and factors with random effects, including split-plot designs. The book is accessible to all readers who have a good basic knowledge of expected values, confidence intervals and hypothesis tests. It is ideal for use in the classroom at both the senior undergraduate and the graduate level. A guide to the use of the SAS System computer


정보제공 : Aladin

목차

Principles and Techniques.- Planning Experiments.- Designs with One Source of Variation.- Inferences for Contrasts and Treatment Means.- Checking Model Assumptions.- 6 Experiments with Two Crossed Treatment Factors.- Several Crossed Treatment Factors.- Polynomial Regression.- Analysis of Covariance.- Complete Block Designs.- Incomplete Block Designs.- Designs with Two Blocking Factors.- Confounded Two-Level Factorial Experiments.- Confounding in General Factorial Experiments.- Fractional Factorial Experiments.- Response Surface Methodology.- Random Effects and Variance Components.- Nested Models.- Split-Plot Designs.


정보제공 : Aladin

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