標題: Titlebook: Design and Analysis of Experiments; Angela Dean,Daniel Voss,Danel Dragulji? Textbook 2017Latest edition Springer International Publishing [打印本頁] 作者: fathom 時間: 2025-3-21 16:13
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書目名稱Design and Analysis of Experiments讀者反饋
書目名稱Design and Analysis of Experiments讀者反饋學科排名
作者: optional 時間: 2025-3-21 21:24
Planning Experiments,nce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.作者: 金哥占卜者 時間: 2025-3-22 02:03 作者: Monolithic 時間: 2025-3-22 04:51 作者: 游行 時間: 2025-3-22 09:18
Checking Model Assumptions,g such assumptions for the one-way analysis of variance model, including checking the normality, constant variance, and independence of the errors. In this chapter, and throughout the book, the model assumption checks are made by examining residual plots. In the case of unequal variances, a transfor作者: Locale 時間: 2025-3-22 15:35 作者: Locale 時間: 2025-3-22 20:38 作者: 首創(chuàng)精神 時間: 2025-3-22 22:16
Polynomial Regression,estimated via least squares and the fit of the model is assessed with a lack-of-fit test. The simple linear regression model is examined in detail and confidence intervals and hypothesis tests about the parameter values are developed. The investigation of linear and quadratic trends in the data via 作者: 暴發(fā)戶 時間: 2025-3-23 02:02 作者: somnambulism 時間: 2025-3-23 09:20 作者: frenzy 時間: 2025-3-23 12:17 作者: 訓誡 時間: 2025-3-23 15:33
Designs with Two Blocking Factors, as simple examples of row-column designs. The model and an overview of analysis of variance, confidence intervals, and multiple comparisons for general row-column design is provided. The analysis simplifications that occur in Latin square and Youden designs are then described. The chapter provides 作者: 鋼筆尖 時間: 2025-3-23 20:27 作者: 蚊子 時間: 2025-3-23 22:30 作者: sinoatrial-node 時間: 2025-3-24 05:55
Fractional Factorial Experiments,combinations. Some main-effect and interaction contrasts cannot then be distinguished and are said to be aliased. Such fractional factorial experiments form the topic of in this chapter 15, where two methods of design construction are discussed to enable minimum aliasing between important contrasts.作者: epicardium 時間: 2025-3-24 08:47
Response Surface Methodology,e surface methodology include the determination of variable settings for which the mean response is optimized and the estimation of the response surface in the vicinity of this good location. The first part this chapter discusses first-order designs and first-order models, including lack of fit and 作者: 機構 時間: 2025-3-24 11:02
Random Effects and Variance Components,r are known as random effects. Random-effects models are discussed in this chapter. Of main concern is the variability of the effects of all the levels in the population rather than comparison of the effects of the few levels observed. The sample size calculation and modeling are introduced via expe作者: STEER 時間: 2025-3-24 15:23
Nested Models,hapter discusses how to recognize nesting when it occurs, how to formulate the associated models, and how to analyze the effects in these models. For fixed-effects nested models, the estimable contrasts are identified and the corresponding confidence intervals and hypothesis tests are developed. Est作者: 怪物 時間: 2025-3-24 22:15
Split-Plot Designs,n a split-plot design, the experimental units are called split plots, and are nested within whole plots, which themselves may or may not be nested within blocks. The split plots within each whole plot are assigned at random to the levels of one or more of the treatment factors. The levels of other t作者: 開花期女 時間: 2025-3-25 01:42
https://doi.org/10.1007/978-3-319-52250-0Analysis of Experiments; Analysis of covariance; Blocking factors; Design of Experiments; Factorial expe作者: 文藝 時間: 2025-3-25 05:46 作者: oblique 時間: 2025-3-25 10:59 作者: fleeting 時間: 2025-3-25 14:31
Simmel’s Life and the Context of His Workoduced as design tools for decreasing variability. Randomization is introduced as a tool for eliminating systematic and personal biases. A brief distinction between exploratory and confirmatory analysis is provided.作者: 你敢命令 時間: 2025-3-25 17:34
Simmel’s Life and the Context of His Worknce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.作者: remission 時間: 2025-3-25 23:45 作者: 發(fā)酵 時間: 2025-3-26 03:45
Planning Experiments,nce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.作者: 宏偉 時間: 2025-3-26 04:50
Simmel’s Life and the Context of His Workoduced as design tools for decreasing variability. Randomization is introduced as a tool for eliminating systematic and personal biases. A brief distinction between exploratory and confirmatory analysis is provided.作者: 草率女 時間: 2025-3-26 10:37
Simmel’s Life and the Context of His Worknce of the guide is illustrated with real experiments. The chapter also briefly introduces some standard experimental designs, such as completely randomized designs, block designs, and split-plot designs, whose detailed descriptions are provided in later chapters.作者: 解開 時間: 2025-3-26 13:16 作者: misshapen 時間: 2025-3-26 19:08
https://doi.org/10.1057/9781137276025tment-versus-control comparisons, trends, and difference of averages are introduced and examined in detail in this chapter. Confidence intervals and hypothesis testing for these contrasts are developed for the one-way analysis of variance model. The necessity for a multiplicity adjustment when exami作者: calamity 時間: 2025-3-27 00:15 作者: incisive 時間: 2025-3-27 04:49 作者: Perennial長期的 時間: 2025-3-27 08:01
Form and Function in the Diary Novel for such factorial experiments form the topic of this chapter. Several different models are examined and, in the case of equal sample sizes per treatment combination, formulas for confidence intervals and hypothesis tests are developed. Since the total number of treatment combinations can become la作者: jocular 時間: 2025-3-27 12:00 作者: 效果 時間: 2025-3-27 14:38
On Simple Theories of a Complex Worldof the experiment can be analyzed by the technique of analysis of covariance. This technique adjusts the treatment parameter estimates for the estimated values of the covariates. This chapter describes standard analysis of covariance models. Treatment parameter estimates are obtained via least squar作者: 他很靈活 時間: 2025-3-27 20:19 作者: LEERY 時間: 2025-3-28 00:12
Aristotle’s Syllogistic and its Extensions treatments, incomplete block designs can be used instead. Basic design issues of block size, connectedness, and randomization are discussed in this chapter. Balanced incomplete block designs, group divisible designs, and cyclic designs, which are three efficient types of incomplete block designs, a作者: 咯咯笑 時間: 2025-3-28 04:00 作者: Charade 時間: 2025-3-28 09:36 作者: pacifist 時間: 2025-3-28 12:27
Datengrundlage und Auswertungsmethodelevelled factors is considered and the techniques are then adapted to handle m-levelled factors, where m is a prime number. Next, pseudofactors are introduced to facilitate confounding for factors with non-prime numbers of levels. Asymmetrical experiments involving factors or pseudofactors at both t作者: Cardioplegia 時間: 2025-3-28 15:33 作者: 平躺 時間: 2025-3-28 19:32 作者: famine 時間: 2025-3-28 23:39 作者: 廚師 時間: 2025-3-29 07:03 作者: IRS 時間: 2025-3-29 09:14 作者: 誰在削木頭 時間: 2025-3-29 13:36 作者: Graves’-disease 時間: 2025-3-29 18:24 作者: 清晰 時間: 2025-3-29 22:24 作者: cringe 時間: 2025-3-30 01:06
Analysis of the Conductive Part of Lung, confidence intervals and hypothesis tests about the parameter values are developed. The investigation of linear and quadratic trends in the data via orthogonal polynomials is also discussed. The concepts introduced in this chapter are illustrated through a real experiment and with the use of SAS and R software.作者: 鐵砧 時間: 2025-3-30 06:15
Aristotle’s Syllogistic and its Extensions block design models, model assumption checks, multiple comparisons, sample size calculations, and analysis of variance. The analyses of complete block designs are illustrated through two real experiments, one having factorial treatment combinations. The use of R and SAS software is described.作者: Accolade 時間: 2025-3-30 12:16 作者: 詩集 時間: 2025-3-30 13:07
Checking Model Assumptions,mation of data is suggested as well as methods for data analysis which incorporate unequal variances. The normality assumption is checked through construction of half-normal probability plots. A real experiment illustrates the techniques, and the use of SAS and R software is illustrated.作者: VOK 時間: 2025-3-30 18:42 作者: mosque 時間: 2025-3-30 22:22
Analysis of Covariance,es, and analysis of covariance tests and confidence interval methods for the comparison of treatment effects are also developed. The concepts introduced in this chapter are illustrated through examples and use of SAS and R software.作者: 刺耳 時間: 2025-3-31 03:31
Designs with Two Blocking Factors,a brief description of model assumption checking as well as an extension of the model to cover factorial experiments in row-column designs. The concepts introduced in this chapter are illustrated through examples and through the use of SAS and R software.作者: arthroplasty 時間: 2025-3-31 08:00 作者: 無可爭辯 時間: 2025-3-31 13:04
Random Effects and Variance Components,riments containing one random effect and are then extended to experiments with two or more random effects. The analysis of mixed-effects models is also discussed in which both fixed effects and random effects are present. The concepts introduced in this chapter are illustrated through examples and the use of SAS and R software.作者: 下邊深陷 時間: 2025-3-31 15:23
Polynomial Regression, confidence intervals and hypothesis tests about the parameter values are developed. The investigation of linear and quadratic trends in the data via orthogonal polynomials is also discussed. The concepts introduced in this chapter are illustrated through a real experiment and with the use of SAS and R software.作者: Genome 時間: 2025-3-31 20:21 作者: debacle 時間: 2025-4-1 00:31 作者: 欺騙手段 時間: 2025-4-1 03:20
Simmel’s Life and the Context of His Workmation of data is suggested as well as methods for data analysis which incorporate unequal variances. The normality assumption is checked through construction of half-normal probability plots. A real experiment illustrates the techniques, and the use of SAS and R software is illustrated.作者: 存在主義 時間: 2025-4-1 08:25
Form and Function in the Diary Novelrge, methods are presented for analyzing experiments with a single observation per treatment combination and no degrees of freedom for error. The concepts introduced in this chapter are illustrated through a real experiment and with the use of SAS and R software.作者: Synovial-Fluid 時間: 2025-4-1 13:33 作者: 溝通 時間: 2025-4-1 17:16 作者: 壁畫 時間: 2025-4-1 22:17 作者: Palate 時間: 2025-4-1 23:33 作者: ATP861 時間: 2025-4-2 04:53
Simmel’s Life and the Context of His Work of the calculation of sample sizes in a one-way analysis of variance model setting using the power of a test. The concepts introduced in this chapter are illustrated through a real experiment and with the use of SAS and R software.作者: 1分開 時間: 2025-4-2 09:30
