試驗(yàn)設(shè)計(jì)與分析

前言

　　AUDIENCE　　This is an introductory textbook dealing with the design and analysis of experiments．It is based on college level courses in design of experiments that I have taught nearly 30 years at Anzona State University，the University of Washington，and t

內(nèi)容概要

本書是關(guān)于試驗(yàn)設(shè)計(jì)與分析的名著,是作者在亞利桑那州立大學(xué)、華盛頓大學(xué)和佐治亞理工學(xué)院三所大學(xué)近30年試驗(yàn)設(shè)計(jì)教學(xué)經(jīng)驗(yàn)和多年專業(yè)顧問經(jīng)驗(yàn)的基礎(chǔ)上編寫的，內(nèi)容包括簡(jiǎn)單比較試驗(yàn)、2k因素設(shè)計(jì)、響應(yīng)曲面方法和設(shè)計(jì)、穩(wěn)健參數(shù)設(shè)計(jì)和過程穩(wěn)健性研究、隨機(jī)因素試驗(yàn)、巢和分圖設(shè)計(jì)等?！　”緯m合作為統(tǒng)計(jì)人員、自然科學(xué)研究人員、工程技術(shù)人員、管理人員和教師進(jìn)行科學(xué)試驗(yàn)設(shè)計(jì)與分析的參考書，也可用于農(nóng)業(yè)類、生物類、統(tǒng)計(jì)類的高年級(jí)本科生、研究生的教學(xué)參考用書。

書籍目錄

Chpter1 Introduction  1.1 Strategy of Experimentation  1.2 Some Typical Applications of Experimental Design  1.3 Basic Principles  1.4 Guidelines for Desiging Experiments  1.5 A Brief History of Statistical Design  1.6 Summary：Using Statistical Techniques in Experimentation  1.7 ProblemsChapter2 Simple Comparative Experiments  2.1 Introduction  2.2 Basic Statical Concepts  2.3 Sampling and Sampling Distributions   2.4 Inferences about the Differenecs in Means，Randomized Designs  2.5 Inferences about the Differences in Means，Paired Comparison Designs    2.6 Inferences about the Variances of Normal Distributions  2.7 Problems Chapter3 Experiments with a Single Factor：The Analysis of Variance  3.1 An Example  3.2 The Analysis of Variance  3.3 Analysis of the Fixed Effects Model  3.4 Model Adequacy Checking  3.5 Practical Interpretation of Results  3.6 Sample Computer Output  3.7 Determining Sample Size  3.8 Discovering Dispersion Effects   3.9 The Regression Approach to the Analysis of Variance  3.10 Nonparametric Methods in the Analysis of Variance  3.11 ProblemsChapter4 Randomized Blocks，Latin Squares，and Related Designs  4.1 The Randomized Complete Block Design  4.2 The Latin Square Design  4.3 The Graeco-Latin Square Design  4.4 Balanced Incomplete Block Designs  4.5 ProblemsChapter5 Introduction to Factiorial DesignsChapter6 The 2k Factorial DesignChapter7 Blocking and Confounding in the 2k Factorial DesignChapter8 Two-Level Fractional Factiorial DesignsChapter9 Three-Level and Mixed-Level Factorial and Fractional Factiorial DesignsChapter10 Fitting Regression ModelsChapter11 Response Surface Methods and EesignsChapter12 Robust Parameter Design and Process Robustness StudiesChapter13 Experiments with Random FactorsChapter14 Nested and Split-Plot DesignsChapter15 Other Design and Analysis TopicsBibliography AppendixIndex

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