Study enumerative

According to W. E. Deming (1975b), an enumerative study is one in which action will be taken on the material in the frame studied , where frame is defined as an aggregate of identifiable units of some kind, any or all of which may be selected and investigated. The frame may be lists of people, areas, establishments, materials, or other identifiable units that would yield useful results if the whole content were investigated . Thus, the frame defines a specific, well-defined population about which inferences can be made. The correctness of statistical inferences requires random sampling from this population. 

Statistical process control charts (such as the x-bar and range charts) plot measurements as a function of time [Grant and Leavenworth (1988)]. With reference to the current day, what part of these charts approximates an enumerative study What part of these charts approximates an analytic study Are the parts different Are the uses different ... 

Suppose the box has a false bottom and someone under the table is changing the marbles in the box. Is this relevant to the concept of an analytic study as opposed to an enumerative study ... 

A section has been added to Chapter 1 on the distinction between analytic vs. enumerative studies. A section on mixture designs has been added to Chapter 9. A new chapter on the application of linear models and matrix least squares to observational data has been added (Chapter 10). Chapter 13 attempts to give a geometric feel to concepts such as uncertainty, information, orthogonality, rotatability, extrapolation, and rigidity of the design. Finally, Chapter 14 expands on some aspects of factorial-based designs. 

In academic quantitative chemical analysis laboratory courses, a common task is to determine the percent iron in an ore sample. Is this an enumerative or an analytic study Why ... 

This overview of the most recent studies on coffee aroma chemistry is inevitably full of matter and tediously enumerative. The reader will find more specific details and discussions in Chapter 5. 

Moreover, Fouskakis and Draper (2002) studied stochastic optimisation in which the search for the optimal solution involved randomness in some constructive way. They explained the search thus "it is easy to see that as the dimension of solution set increases, the harder the task becomes, and more time is needed to find the optimal, or at least a near-optimal, configuration. Another difficulty is that it is common for the objective function to have many local optima" (315-316). Thus, the main difference between the enumera-tive and stochastic search is that the enumerative search can guarantee an optimal solution from the given solution set and more accurate time consumption, however, the stochastic search can search the solution globally with less time but also maybe with less accuracy (Fouskakis and Draper, 2002). 

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