標(biāo)題: Titlebook: Experimental Design; With Application in Paul D. Berger,Robert E. Maurer,Giovana B. Celli Textbook 2018Latest edition Springer Internation [打印本頁(yè)] 作者: Systole 時(shí)間: 2025-3-21 17:39
書目名稱Experimental Design影響因子(影響力)
書目名稱Experimental Design影響因子(影響力)學(xué)科排名
書目名稱Experimental Design網(wǎng)絡(luò)公開度
書目名稱Experimental Design網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Experimental Design被引頻次
書目名稱Experimental Design被引頻次學(xué)科排名
書目名稱Experimental Design年度引用
書目名稱Experimental Design年度引用學(xué)科排名
書目名稱Experimental Design讀者反饋
書目名稱Experimental Design讀者反饋學(xué)科排名
作者: inflame 時(shí)間: 2025-3-21 20:58 作者: Hdl348 時(shí)間: 2025-3-22 03:54
Some Further Issues in One-Factor Designs and ANOVA made about the probability distribution of the .’s in our statistical model. Next, we discuss a nonparametric test that is appropriate if the assumption of normality, one of the standard assumptions, is seriously violated. We then review hypothesis testing, a technique that was briefly discussed in作者: 貿(mào)易 時(shí)間: 2025-3-22 07:30
Multiple-Comparison Testing or accept ..(..?=?..?=?..?=?…?=?..); however, they do not show how the means differ, if, indeed, they do differ. In this chapter, we will discuss the logic and Type I errors in multiple-comparison testing. We then present several procedures which can be used for multiple comparison of means, such a作者: Capitulate 時(shí)間: 2025-3-22 12:09
Orthogonality, Orthogonal Decomposition, and Their Role in Modern Experimental Designares (TSS), the variability in the original data, into two components – the sum of squares between columns (SSB.), attributable to the factor under study, and the sum of squares within a column (SSW), the variability not explained by the factor under study, and instead explained by “everything else.作者: intercede 時(shí)間: 2025-3-22 15:41
Two-Factor Cross-Classification Designs value of some quantity of interest, the dependent variable. By way of example, we considered whether device/usage influences battery life. We expanded on this initial analysis by introducing multiple-comparison testing and orthogonal breakdowns of sums of squares.作者: intercede 時(shí)間: 2025-3-22 18:06 作者: omnibus 時(shí)間: 2025-3-22 22:57 作者: HALO 時(shí)間: 2025-3-23 01:58
Two-Level Factorial Designsveral chapters, we consider designs in which all factors have two levels. Many experiments are of this type. This is because two is the minimum number of levels a factor can have and still be studied, and by having the . (2), an experiment of a certain size can include the .. After all, an experimen作者: Crepitus 時(shí)間: 2025-3-23 07:23
Confounding/Blocking in 2, Designsin Chap... Imagine coming to a point in designing our experiment where we have settled on the factors and levels of each factor to be studied. Usually this will not be an exhaustive list of all the factors that might possibly influence the experimental response, but a bigger list would likely be pro作者: CLOWN 時(shí)間: 2025-3-23 12:24 作者: CHOKE 時(shí)間: 2025-3-23 17:46
Designs with Factors at Three Levelsrmine the differences in quality among three suppliers, one would consider the factor “supplier” at three levels. However, for factors whose levels are measured on a numerical scale, there is a major and conceptually-different reason to use three levels: to be able to study not only the linear impac作者: enumaerate 時(shí)間: 2025-3-23 19:51 作者: 泥土謙卑 時(shí)間: 2025-3-24 01:19 作者: 缺陷 時(shí)間: 2025-3-24 04:54 作者: Sinus-Node 時(shí)間: 2025-3-24 10:31 作者: FAWN 時(shí)間: 2025-3-24 12:43
978-3-319-64582-7Springer International Publishing AG 2018作者: 擴(kuò)音器 時(shí)間: 2025-3-24 18:02
Lidewyde H. Berckmoes,Ben Whites consulted. At the end of the chapter, we revisit the example and present analysis and results. The appendices will cover the analysis using statistical packages not covered in the main text, where appropriate. As you read the chapter, think about how the principles discussed here can be applied to this problem.作者: barium-study 時(shí)間: 2025-3-24 20:50
The Impact on Major Industries, value of some quantity of interest, the dependent variable. By way of example, we considered whether device/usage influences battery life. We expanded on this initial analysis by introducing multiple-comparison testing and orthogonal breakdowns of sums of squares.作者: amorphous 時(shí)間: 2025-3-25 00:50
An Overview on Large Language Modelsach at five levels, there are 5.?=?125 possible combinations. Although modeling such an experiment is straightforward, running it is another matter. It would be rare to actually carry out an experiment with 125 different treatment combinations, because the management needed and the money required would be great.作者: Stable-Angina 時(shí)間: 2025-3-25 03:41 作者: musicologist 時(shí)間: 2025-3-25 09:51 作者: 大約冬季 時(shí)間: 2025-3-25 13:53 作者: SPALL 時(shí)間: 2025-3-25 18:22
Paul D. Berger,Robert E. Maurer,Giovana B. CelliCovers design of experiments for a broad audience and is accessible for those who have little experience.Contains exercises at the end of each chapter that make it a good alternative as a course refer作者: 只有 時(shí)間: 2025-3-25 22:24 作者: 凹室 時(shí)間: 2025-3-26 03:39 作者: Apogee 時(shí)間: 2025-3-26 06:34 作者: Brain-Imaging 時(shí)間: 2025-3-26 11:31 作者: bibliophile 時(shí)間: 2025-3-26 15:57 作者: ARENA 時(shí)間: 2025-3-26 20:30 作者: 心神不寧 時(shí)間: 2025-3-26 21:46
The Impact on Major Industries, value of some quantity of interest, the dependent variable. By way of example, we considered whether device/usage influences battery life. We expanded on this initial analysis by introducing multiple-comparison testing and orthogonal breakdowns of sums of squares.作者: 柔聲地說(shuō) 時(shí)間: 2025-3-27 04:10
https://doi.org/10.1007/978-3-031-54252-7he levels of the two factors – for convenience, A and B – are crossed, that is, every level of B will occur with every level of A. In practice, this means that, if we have three levels per factor, we will have nine experimental runs (without considering replicates). In this chapter, we will see a di作者: Cursory 時(shí)間: 2025-3-27 05:25
An Overview on Large Language Modelsach at five levels, there are 5.?=?125 possible combinations. Although modeling such an experiment is straightforward, running it is another matter. It would be rare to actually carry out an experiment with 125 different treatment combinations, because the management needed and the money required wo作者: 錫箔紙 時(shí)間: 2025-3-27 09:37 作者: Jargon 時(shí)間: 2025-3-27 17:21 作者: JOT 時(shí)間: 2025-3-27 20:26 作者: 一美元 時(shí)間: 2025-3-27 23:27
https://doi.org/10.1007/978-3-319-60519-7rmine the differences in quality among three suppliers, one would consider the factor “supplier” at three levels. However, for factors whose levels are measured on a numerical scale, there is a major and conceptually-different reason to use three levels: to be able to study not only the linear impac作者: fatty-streak 時(shí)間: 2025-3-28 03:24 作者: 并入 時(shí)間: 2025-3-28 06:39
https://doi.org/10.1007/978-3-658-44179-1t with the notation that is close to universal in the field of experimental design, we have been using factor names, A, B, etc., or “column factor” and “row factor,” instead of, literally, the letter .). The latter has been treated mostly as a categorical variable, whether actually numerical/metric 作者: Infusion 時(shí)間: 2025-3-28 13:16 作者: agnostic 時(shí)間: 2025-3-28 15:30 作者: lambaste 時(shí)間: 2025-3-28 22:26
Designs with Factors at Three Levelsful way to orthogonally break down the sum of squares associated with a numerical factor is to decompose it into a linear effect and a quadratic effect (for a factor with three numerical levels), a linear effect, a quadratic effect, and a cubic effect?(for a factor with four numerical levels), and so forth.作者: ineptitude 時(shí)間: 2025-3-28 23:57
Generative Fertigung mit Kunststoffen discussed by Dr. Taguchi are two- and three-level fractional-factorial designs. Dr. Taguchi’s original target population was manufacturing engineers, but his techniques are readily applied to many management problems. Using Taguchi methods, we can dramatically reduce the time required to design fractional-factorial experiments.作者: Junction 時(shí)間: 2025-3-29 04:23 作者: Jargon 時(shí)間: 2025-3-29 09:02 作者: 圣人 時(shí)間: 2025-3-29 13:24 作者: 發(fā)現(xiàn) 時(shí)間: 2025-3-29 18:51
Multiple Linear Regressioncalled .. Similarly to simple regression, the objective here is to specify mathematical models that can describe the relationship between . and more than one . and that can be used to predict the outcome at given values of the predictors. As we did in Chap. ., we focus on linear models.作者: 輕觸 時(shí)間: 2025-3-29 22:35 作者: 繁榮地區(qū) 時(shí)間: 2025-3-30 03:43
Aus Fehlern lernen: Wie geht es besser?,e of an effort to be on time if I make it a practice to stop by their office to chat at the start of the day? Will a chemical reaction be faster if the amount of a specific reagent is increased threefold? How about if the temperature is increased by 10?°C? Will the yield increase if an extraction is carried for 40?minutes instead of 20?minutes?作者: GOAT 時(shí)間: 2025-3-30 06:14
Renewing the American Narrative logic and Type I errors in multiple-comparison testing. We then present several procedures which can be used for multiple comparison of means, such as Fisher’s Least Significant Difference (LSD) test, Tukey’s HSD test, the Newman-Keuls test, and Dunnett’s test. Finally, we discuss the Scheffé test as a . study for multiple comparisons.作者: temperate 時(shí)間: 2025-3-30 11:02
Christine Joy Edwards-Groves,Karin R?nnermancalled .. Similarly to simple regression, the objective here is to specify mathematical models that can describe the relationship between . and more than one . and that can be used to predict the outcome at given values of the predictors. As we did in Chap. ., we focus on linear models.作者: Immunoglobulin 時(shí)間: 2025-3-30 14:42 作者: Accolade 時(shí)間: 2025-3-30 20:31
https://doi.org/10.1007/978-3-031-54252-7fferent type of design, called ., where the levels of factor B will occur only at certain levels of A. For instance, we can have three levels of A and nine levels of B, but levels 1–3, 4–6, and 7–9 of B will only occur when the levels of A are 1, 2, and 3, respectively.作者: inventory 時(shí)間: 2025-3-30 21:11
At the Edge of a Scientific Revolution,that is, running only a portion, or fraction, of all the treatment combinations. Of course, whatever fraction of the total number of combinations is going to be run, the specific treatment combinations chosen must be carefully determined. These designs are called . . and are widely used for many types of practical problems.作者: Adherent 時(shí)間: 2025-3-31 04:16 作者: Nausea 時(shí)間: 2025-3-31 07:13 作者: 600 時(shí)間: 2025-3-31 09:54
Nested, or Hierarchical, Designsfferent type of design, called ., where the levels of factor B will occur only at certain levels of A. For instance, we can have three levels of A and nine levels of B, but levels 1–3, 4–6, and 7–9 of B will only occur when the levels of A are 1, 2, and 3, respectively.作者: subacute 時(shí)間: 2025-3-31 16:21
Two-Level Fractional-Factorial Designsthat is, running only a portion, or fraction, of all the treatment combinations. Of course, whatever fraction of the total number of combinations is going to be run, the specific treatment combinations chosen must be carefully determined. These designs are called . . and are widely used for many types of practical problems.作者: 大溝 時(shí)間: 2025-3-31 21:34
Introduction to Simple Regressionor not. Often, we have had more than one independent variable. Assuming only one independent variable, if we want to say it this way (and we do!), we can say that we have had . (., .) pairs of data, where . is the total number of data points. With more than one independent variable, we can say that we have . (.., .., …, .) data points.作者: nurture 時(shí)間: 2025-4-1 00:32
