Attribute measures

In the future, it is expected to be possible to make more routine use of additional wave types, specifically shear or S waves (polarised to horizontal and vertical components) which have a transverse mode of propagation, and are sensitive to a different set of rock properties than P waves. The potential then exists for increasing the number of independent attributes measured in reflection surveys and increasing the resolution of the subsurface image. 

Different spectral preprocessing and transformations available in SIMCA P-p (version 10.0, Umetrics, Sweden) were evaluated and the best approach for data handling and manipulation was determined. Data collected on the surrogate tablets were divided into a training set to generate the PLS models, and prediction set to test the PLS models. MCC powder, equilibrated at different RH, was also roller compacted at different roll speeds on a Fitzpatrick IR220 roller compactor fitted with smooth rolls. Powder feed rate and roll pressure were kept constant for all experiments. The key sample attributes measured on the surrogate tablets were also measured for the samples prepared by roller compaction. 

The selection of the proper technique of sampling is one of judgment and experience the test of the selected technique lies in its reliability for estimating a given attribute for the universe under consideration. Thus, the attribute measured from the sample should approximate the... 

Analytical method attributes measures of the quality, reliability, and uncertainty of the determinations obtained with an analytical method. Typical analytical method attributes are selectivity, sensitivity, detection limits, signal/noise, recovery, accuracy, bias, precision, and validation. Analytical method attributes are sometimes called figures of merit. 

Attribute data were identified from the photomicrographs of each location point in the sample, and each potential categorical variable (attribute) was recorded as present or absent. Because it was desirable to determine whether the evidence at the location points was related, the data were subjected to hierarchical clustering. The measure of dissimilarity used in the project was the number of matches among attribute measurements that two location points shared. For example, two points had a dissimilarity of 0 if they matched on all attribute measurements, and at the other extreme, the two location points had a dissimilarity of 13 (the total number of measured attributes) if they did not match on any of the measurements. Each match was weighed as equally important. In addition to this intuitive measure of... 

In the design phase there is the need to evaluate concepts without Targe and expensive consumer trials. For this purpose sensory attributes measured by a trained QDA panel, are used to measure consumer benefits. 

The sample size and the test intervals for each attribute measured. 

Multiple-attribute utility theory (Keeney and Raiffa 1976) has been designed to facilitate comparison and ranking of alternatives with many attributes or characteristics. The relevant attributes are identified and structured and a weight or relative utility is assigned by the decision maker to each basic attribute. The attribute measurements for each alternative are used to compute an overall worth or utility for each alternative. Multiple attribute utility theory allows for various types of worth structures and for the explicit recognition and incorporation of the decision maker s attitude towards risk in the utility computation. 

Completeness The extent to which the attributes measure whether an objective is met. 

The concepts described in this section also apply to attributes. Attribute measures are yes it passes or no it does not pass situations. The so-called perfect order in the distribution industry would be judged on attributes because it must possess predefined attributes (on time, complete, proper invoice, etc.). Certainly a less-than-perfect order has the potential to generate unwanted transactions that generate cost and waste time. 

Attribute charts are used when the data being measured meet certain conditions or attributes. Attributes are involved when the safety measures are categorical (Griffin 2000,434). Examples of categorical data include the departments in which accidents are occurring, the job classification of the injured employee, and the type of injury sustained. The type of attribute control chart used depends on the data format of the specific attribute measured. The attribute charts covered in this chapter are... 

Dependability is the ability of a system to deliver its intended level of service to its users [5]. Also it can be conceived as the reliance on a system for the quality of services it provides during an extended interval of time. There are attributes, measures, means, and impairments pertinent to dependability. Fault tolerance is one of the... 

Post-Reflow Solder Joint Measurements. Solder joint measurements, such as fillet heights, average solder thickness across the pad, void volume, and pm-to-pad offsets, as shown in Fig. 53.8(c), provide information about the paste printing process, the component placement process, and the solder reflow process steps. Attribute measurements, such as solder bridges, opens, or insufficient solder, are most common. Quantitative measurements of solder... 

We ll illustrate the concepts with an example of a part that must be produced to a certain specification. The concepts described also apply to "attributes." Attribute measures are "yes, it passes" or "no, it doesn t pass"... 

Single-attribution measurements help you give credit for a deal to marketing programs that originally created or that closed the deal, known as first-touch (FT) and last-touch (LT) attribution. Because many of your lead-generation programs are TOFU (top-of-funnel), you will have a lot of FT attribution in your measurements. 

The first part of the book, comprising Chapters 1-5, treats the analysis and interpretation of the input seismic data. The first chapter provides a very brief and basic introduction to geology and seismic. The next two chapters present a set of seismic attributes (measures computed from the seismic data) which are useful for the subsequent classification of geological responses. Chapters 4 and 5 propose novel pattern recognition strategies for the automated interpretation of seismic data. 

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