Robert J. Moffat - Planning and Executing Credible Experiments

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Covers experiment planning, execution, analysis, and reporting This single-source resource guides readers in planning and conducting credible experiments for engineering, science, industrial processes, agriculture, and business. The text takes experimenters all the way through conducting a high-impact experiment, from initial conception, through execution of the experiment, to a defensible final report. It prepares the reader to anticipate the choices faced during each stage. 
Filled with real-world examples from engineering science and industry,
offers chapters that challenge experimenters at each stage of planning and execution and emphasizes uncertainty analysis as a design tool in addition to its role for reporting results. Tested over decades at Stanford University and internationally, the text employs two powerful, free, open-source software tools: GOSSET to optimize experiment design, and R for statistical computing and graphics. A website accompanies the text, providing additional resources and software downloads.
A comprehensive guide to experiment planning, execution, and analysis Leads from initial conception, through the experiment’s launch, to final report Prepares the reader to anticipate the choices faced throughout an experiment Hones the motivating question Employs principles and techniques from Design of Experiments (DoE) Selects experiment designs to obtain the most information from fewer experimental runs Offers chapters that propose questions that an experimenter will need to ask and answer during each stage of planning and execution Demonstrates how uncertainty analysis guides and strengthens each stage Includes examples from real-life industrial experiments Accompanied by a website hosting open-source software
is an excellent resource for graduates and senior undergraduates—as well as professionals—across a wide variety of engineering disciplines.

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7 Chapter 13Table 13.1 Candidate factors for factory production.Table 13.2 Uncertainty of predicted material strength, for each machine, at k...Table 13.3 Example 8.2.Analysis of Variance (anova) as parsed for each model ...Table 13.4 R results of dual predictive model, mod9.Table 13.5 Predicted strengths over the operating map using the dual predicti...Table 13.6 Uncertainty of dual prediction model material strength, for each m...Table 13.7 Overall Uncertainty at key operating points. Compare dual and indi...Table 13.8 Predicted strengths over the operating mmap using individual machi...Table 13.9 Side‐by‐side comparison of all model values derived in this chapte...

8 1Table A.1 Factors for various confidence intervals, Student's double‐sided t‐...

9 2Table B.1 Sets of random orders for trials.Table B.2 Two‐level factorial design logical patterns.Table B.3 Twelve‐run PB design pattern.Table B.4 Eight‐run PB design pattern.

10 3Table C.1 Quick hand statistics: means, ranges, variances (Chapter 8, Example...Table C.2 Legend of worksheet interim values (Chapter 8, Example l, Part 6).Table C.3 Computing table for two‐level factorial experiments (≤ five factors...Table C.4 Computing the factor effects from a two‐level design (Chapter 8, Ex...Table C.5 Twelve‐run PB worksheet (using data from Chapter 8, Example 2).Table C.6 Selecting a recommended significance level.

List of Illustrations

1 Chapter 1 Figure 1.1 The experiment viewed as an instrument. Adjust the instrument by ... Figure 1.2 The Bundt cake as delivered. A high heat‐transfer coefficient lif...

2 Chapter 2 Figure 2.1 Rice cooker design trajectory. Figure 2.2 Is this a single sine wave with some scatter in the data? Does it...

3 Chapter 5 Figure 5.1 A statistical plan focuses on a region around the central point. ...

4 Chapter 6Figure 6.1 Mapping the prior art shows where to work and where to look for a...Figure 6.2 Positioning the operable domain of the second rig in this way all...Figure 6.3 The hardware components of the applied thermometry rig.Figure 6.4 The first description of the operable domain, in the simplest coo...Figure 6.5 The domain is closed by two constraints: the mass flow limit line...Figure 6.6 Unit Reynolds number versus velocity, with overlaid lines of cons...Figure 6.7 The final form of the operable domain map, in unit Reynolds numbe...Figure 6.8 A map in operator's coordinates allows for speedy and safe change...Figure 6.9 The data from Table 6.1, plotted in a conventional manner, are no...Figure 6.10 The data from Table 6.1, plotted in an oblique view, reveals tre...

5 Chapter 7Figure 7.1 Model prediction and experimental results.Figure 7.2 The Normal Distribution.Figure 7.3 Various plots to inspect results of the shoe store example experi...Figure 7.4 Initial model of hiloy data.Figure 7.5 Model 5 provided best “least‐squares” straight line fits for each...Figure 7.6 Contributions to Uncertainty at 95% confidence for model 5 terms....Figure 7.7 Compare Uncertainty bands for two models of alloy C.

6 Chapter 8Figure 8.1 Sampling locations.Figure 8.2 The coded unit cube with eight corner points.

7 Chapter 9Figure 9.1 We generally can estimate the shape of the Response Surface at on...Figure 9.2 An estimated Response surface.Figure 9.3 The Response Surface of a heat transfer experiment on a transpire...Figure 9.4 (a) Six PB samples on Machine 1. (b) Six PB samples on Machine 2....Figure 9.5 Strength results from the PB 12‐run screening.Figure 9.6 (a) Gosset‐style samples on Machine 1. (b) Gosset‐style samples o...Figure 9.7 (a) Operator conditions on Machine 1 for total experiment plan. (...

8 Chapter 10Figure 10.1 Typical heat‐transfer data from a simple situation: a round cyli...Figure 10.2 (a) Slow sampling on a rapidly changing signal gives the appeara...Figure 10.3 Cumulative probability distributions for factory and field tests...Figure 10.4 The measurement chain.Figure 10.5 Worksheet for estimating fixed and random errors in a thermocoup...Figure 10.6 (a) Schematic of high‐velocity flow in a duct with probe. (b) Sc...Figure 10.7 Calibration data with its “scatter band” and two ways to describ...Figure 10.8 Uncertainty in velocity measured with two different micro‐manome...Figure 10.9 Flowchart for estimating the Uncertainty in a result by sequenti...Figure 10.10 (a) A spreadsheet for estimating the Uncertainty in h by the pe...

9 Chapter 11Figure 11.1 The test specimen.Figure 11.2 Semi‐log plot of transient response of a first‐order system.Figure 11.3 The Uncertainty is largest at low values of h when the test is r...Figure 11.4 The Relative Uncertainty using the transient method is low at lo...Figure 11.5 Direct comparison of the Uncertainties allows selection of the b...Figure 11.6 The experiment as an instrument. Employ Uncertainty Analysis at ...

10 Chapter 12Figure 12.1 The general calibration process applies to whole experiments as ...

11 Appendix CFigure C.1 The coded unit cube with eight corner points.

Guide

1 Cover

2 Table of Contents

3 Begin Reading

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