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Cluster sampling method

Cluster sampling methods, which first identify a set of compound clusters, followed by the selection of several compounds from each cluster [73]. Grid-based sampling, which places all the compounds into a low-dimensional descriptor space divided into many cells and then chooses a few compounds from each cell [74]. [Pg.364]

It is now fairly well established that atomic and few-atom cluster arrays can be generated and trapped in weakly interacting matrices 91), and subsequently scrutinized by various forms of spectroscopy. Up to this time, IR-Raman-UV-visible absorption and emission-esr-MCD-EXAFS-Mossbauer methods have been successfully applied to matrix-cluster samples. It is self-evident that an understanding of the methods of generating and identifying these species is a prerequisite for... [Pg.81]

Fig. 1. Mean Li abundance as a function of age. Li abundances are in the usual notation log n(Li)= N(Li)/N(H)+12. Different symbols indicate stars in different mass bins, namely 1 0.02 M0 (circles), 1.05 0.02 M0 (squares) and 1.1 0.02 M0 (triangles). The Sun is also shown. The horizontal line denotes the initial log n(Li). The following clusters have been considered 120 Myr Pleiades 600 Myr Hyades 2 Gyr IC 4651, NGC 3680, NGC 752 4.5 Gyr M 67 (only the upper envelope of the Li vs. Teff distribution -see text) 7 Gyr NGC 188. The cluster samples have all been analysed with the same method. Error bars correspond to lcr deviations from the mean. Fig. 1. Mean Li abundance as a function of age. Li abundances are in the usual notation log n(Li)= N(Li)/N(H)+12. Different symbols indicate stars in different mass bins, namely 1 0.02 M0 (circles), 1.05 0.02 M0 (squares) and 1.1 0.02 M0 (triangles). The Sun is also shown. The horizontal line denotes the initial log n(Li). The following clusters have been considered 120 Myr Pleiades 600 Myr Hyades 2 Gyr IC 4651, NGC 3680, NGC 752 4.5 Gyr M 67 (only the upper envelope of the Li vs. Teff distribution -see text) 7 Gyr NGC 188. The cluster samples have all been analysed with the same method. Error bars correspond to lcr deviations from the mean.
There are four major types of sampling methods random, stratified, systematic, and cluster. Random is by far the most commonly employed method in toxicology. It stresses the fulfillment of the assumption of avoiding bias. When the entire pool of possibilities is mixed or randomized (procedures for randomization are presented in a later section), then the members of the group are selected in the order that are drawn from the pool. [Pg.874]

If a point sampled happened to be an active point, it is counted as an individual hit. Thus, the number of active points sampled by a particular method is defined as the individual hit rate obtained by that method. On the other hand, in order to characterize the representativeness of a sampling, we define the concept of a cluster hit as follows. If one or more points are sampled from an active cluster, we define that this active cluster is sampled and counted as a cluster hit. Therefore, the number of active clusters sampled by a particular method is defined as the cluster hit rate obtained by that method. [Pg.387]

Figure 8.39 Three-dimensional scatter plot of the first three PCA scores obtained from a set of original calibration data. The calibration samples selected by the cluster analysis method are marked with an x. ... Figure 8.39 Three-dimensional scatter plot of the first three PCA scores obtained from a set of original calibration data. The calibration samples selected by the cluster analysis method are marked with an x. ...
Fig 8. The P04 XPS valence band spectrum (A) calculated by using the DV-Xa cluster MO method, in comparison with the experimental valence band spectrum (B) of the NasP04 sample (Ref 28). [Pg.218]

Discriminant function analysis. Discriminant function analysis (DFA) which is also referred to as canonical variates analysis is here the chosen cluster analysis method. DFA is usually used in a supervised mode, but can also be used in an unsupervised way. Here, the unsupervised mode is enabled by direct usage of the replicate information of object samples as classes. The effect of using DFA in this way is that it will reduce the within-replicate-group variance. DFA is in many ways similar to PCA. However, the... [Pg.391]

Data collection. Two data sets are used to demonstrate the multiscale cluster analysis method and have been kindly provided by Dr. Roy Goodacre at Institute of Biological Sciences. University of Wales, Aberystwyth [64,65]. Ten microlitre aliquots of bacterial suspensions were evenly applied onto a sand-blasted aluminium plate. Prior to analysis the samples were oven-dried at 50°C for 30 min. Samples were run in triplicate. The FT-IR instrument used was the Bruker IFS28 FT-IR spectrometer (Bruker Spectro-spin, Banner Lane, Coventry, UK) equipped with an MCT (mercury-cadmium-telluride) detector cooled with liquid Ni. The aluminium plate was then loaded onto the motorised stage of a reflectance TLC accessory. The wave-... [Pg.393]

A rapid sampling method for direct aerosol analysis using FD-mass spectrometer has been described . In a predominantly inorganic aerosol three alkali metal cations and a number of cluster ions of intact salts have been identified under the conditions of high mass resolution (R 15,000, 10 per cent valley definition) using photographic registration. [Pg.29]

ABSTRACT To explore scientific sampling methods and corresponding formulas for sensitive question survey on stratified cluster sampling. Cochran W.G. s sampling theories, Warner model, total probabihty formulas and properties of variance were used in this paper. Formulas for the estimate of the population proportion and its variance on Warner model in cluster sampling and stratified cluster samphng were deduced. With high reliability, our survey methods on Warner model may have an extensive application in sensitive question survey. [Pg.261]


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See also in sourсe #XX -- [ Pg.364 ]

See also in sourсe #XX -- [ Pg.273 ]




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Cluster method

Cluster sampling

Method clustering

Sample methods

Sampling methods

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