| 词汇 | example_english_random-sampling |
| 释义 | Examples of random samplingThese examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. A randomsampling in the final phase was ensured, but the element of purposive sampling dominated. In addition to randomsampling, what other assumptions are violated in a study? Selection of the study population was through randomsampling. The random selection of the clusters as the sampling units can be performed using simple random, systematic or stratified randomsampling. In all cases, the distribution is based on a randomsampling of the 500 simulations to obtain 100,000 estimated r values. Not only does this make the definition of a lot coherent, it makes testing more robust compared to non-simple randomsampling. Stratified randomsampling was employed to select transect location by delineating 30 points 50 m apart on each of five trails in the study area. Consequently, in the presence of clustering, the calculation of the variance of the prevalence using formulae for simple randomsampling may yield overly optimistic estimates. The p-value indicates the likelihood that the result would occur by chance in another randomsampling of similar subjects. The term "behavior" objectifies and automatizes language use as an "out there" social reality, amenable to sociolinguistic surveying based on randomsampling. From this sampling frame one female in each dwelling unit was selected using simple randomsampling. Selecting longer sentences is the most effective of these but is still far worse than randomsampling. For completeness, we conclude by demonstrating that that randomsampling is a stronger baseline than other model-free selection methods, such as sequential sampling. Stratification was considered a more efficient sampling procedure than simple randomsampling because the firms were relatively heterogeneous. Purposive sampling was employed as a list of all the patients could not be obtained and therefore randomsampling, although preferential, was impractical. Two methods of sampling were used : population based randomsampling and use of residual sera collected during routine laboratory testing. Because the population was so small and the mailing list was not absolutely inclusive, randomsampling was not employed. Then informative nuclear families each with two children are simulated for the specific selective sampling scheme or randomsampling. Figure 5 shows overall learning curves for ll-all with these two methods and randomsampling. Other than using randomsampling, it is also instructive to consider some parsingspecific strategies that are model-free. Of the 2,575 voters selected by multi-stage randomsampling, it completed face-to-face interviews with a total of 1,500, registering a response rate of 58%. The actual selection of households within each colony was done by randomsampling. Systematic adherence to the basic epidemiological principles of unbiased, randomsampling is important. T he method for selecting patients was by randomsampling. For example, randomsampling is almost always violated in social science research. These 271 cells represent an unbiased, randomsampling of cells from all cor tical layers. Thirdly, randomsampling was not used and airline passengers who departed the airport in private vehicles were not included in the study. A design effect was incorporated into calculations to take account of the ratio of the variance of prevalence estimates assuming simple randomsampling and incorporating the clustered design. The sampling technique was thus based on a two-stage, stratified randomsampling procedure. In a randomsampling, it is usually expected that income distribution will not be normally distributed, with many countries below mean income per capita and thus positively skewed. The aim of this paper is to develop theoretical predictions for the effect of a local barrier on fluctuations produced by randomsampling drift. Nonparametric bootstrapping is a method based on randomsampling with replacement based on individual data of the participants (4;13). The previous section discusses statistical methods for incorporating this randomsampling variability into sampling and testing plans. However, in general, the percentage of deviant seeds in a sample will differ from the actual lot impurity due to randomsampling variability. Eight subplots within each main plot were chosen from a regular grid using a stratified randomsampling procedure. Test excavations were conducted at 37 sites, each of which was selected by a stratified randomsampling strategy. These 800 subjects were selected by simple randomsampling from the cohort of 1328 individuals completing the questionnaire phase of the study. A multi-stage, stratified, randomsampling procedure was used to identify the sample. Figure 4 also shows the learning curves for randomsampling with ll-dtc and ll-psc. Both control and cost considerations make it difficult to carry out the probability randomsampling at the national level. To ensure representation of a broad range of styles, vases were selected by systematic rather than randomsampling. Data were gathered using a two-step randomsampling method. This was followed by mapping from these photographs with adequate ground checks, and the growing stock was assessed by randomsampling in selected areas. The multi-stage randomsampling technique was used to draw the sample observations. A subset of this group was selected in accordance with a conditionally randomsampling plan. In a session where the user hops around from place to place, the content of the queue looks more like a randomsampling of words of the text. To maximize the power of the study to discriminate between the effects of childhood adversities that are often confounded in the general population, stratified randomsampling was used. Each sample size was 800 and the sampling method was a multistage randomsampling in principle with some notable exceptions. The sample was selected using a stratified randomsampling technique. It would seem, however, that randomsampling would have been the most readily available procedure at the time. Simple randomsampling implies that each seed in the lot has both an equal and an independent chance of being included in the sample. Here the focus is on the management of randomsampling uncertainty. A purely representative sample is defined as one that was selected using the method of simple randomsampling from the bulk seed lot. We chose that method of selection because randomsampling was logistically awkward, and further, there was no obvious reason to suspect bias from the chosen method. As this study was a nationwide randomsampling survey, this agreement with the census would show that nonresponder bias was relatively small due to demographics. The extent to which the sampling methodology deviates from simple randomsampling and invalidates the probability models used is precisely the effect that is called non-randomsampling error. A sampling plan should be used that mimics, as closely as possible, a simple randomsampling plan. Such studies focus on quantifiable variables, but without researcher's manipulation and without randomsampling or random assignment of participants to conditions or to contexts for learning. This under-representation was due to randomsampling bias and not non-response bias. This methodology combined the high-cost merits of quantitative observation and data collection with the low-cost merits of qualitative observation; using video, photography, limited randomsampling, surveying, and experience. The survey was carried out in 1991/92, and the sample size was 41 households (stratified randomsampling). After a sampling frame was created by initial visits to most coastal villages, multi-stage random sampling was used to select five subdistricts and then 17 coastal villages within them. Sera were selected from 2128 samples collected in 1999 using stratified randomsampling in order to represent all grades of schoolchildren and to evenly represent children from eight primary schools. This fact makes using standard statistical procedures to summarize our results problematic, since they assume randomsampling (and therefore an equal probability for each of the observations). Whether this apparent increase is due to randomsampling differences, differences in methodology, or an actual increase in prevalence, is unknown. Unfortunately, scientific reports often present, for example, confidence intervals that assume simple randomsampling whereas the design involved clustered units. In addition, the simulation models demonstrated that our observed outcomes were common in a randomsampling design. Since active learning methods often choose more ambiguous examples -which typically require more time to annotate- than randomsampling, unit cost would thereby overstate the gains from active learning. The second step involved systematic randomsampling over time. But we share no more than a randomsampling of genes with a stranger. A total of 311 households were selected through a simple randomsampling procedure with replacement using a random table. A multi-stage randomsampling technique was adopted in selecting households for the survey in both urban and rural areas. Active learning can actually be less efficient than randomsampling for weak models (see ll-mrs and ll-dep). In a randomsampling, it is usually expected that the income distribution will be not normally distributed with many countries below mean income per capita and thus positively skewed. Among other things, these techniques offer the opportunity of quasirandom sampling, either intrinsically or by the subsequent application of randomsampling techniques. Because randomsampling methods are not typically employed for the direct physical measurement approach, conclusions from studies employing it cannot be generalized across either human or wildlife populations. A stratified randomsampling design was used. When they are tabulated in the form of a frequency distribution, the result is an empirical approximation to the randomsampling distribution of the differences between two sample means. A stratified randomsampling framework was adopted. Due to problems such as inapparent carriers, diversity of clinical signs and the potential for active infection without clinical lesions, randomsampling from all infected individuals can be difficult. We tested all four ad-hoc selection methods using all of our models together and found not a single method which improved upon randomsampling with the same model. This section discusses the management of randomsampling uncertainty, which is inherent when sampling any seed lot, by incorporating this uncertainty into appropriate statistical testing procedures. We need to find out more about that by conducting randomsampling. From the Hansard archive Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0 For the 1982 survey, some 2,100 inquiry forms were issued to attendance allowance recipients chosen by statistically approved randomsampling. From the Hansard archive Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0 We asked for the randomsampling of cattle heads. From the Hansard archive Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0 One of the difficulties about randomsampling is that it cannot give any assurance about the rest of the eggs. From the Hansard archive Example from the Hansard archive. Contains Parliamentary information licensed under the Open Parliament Licence v3.0 These examples are from corpora and from sources on the web. Any opinions in the examples do not represent the opinion of the Cambridge Dictionary editors or of Cambridge University Press or its licensors. |
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