Sample design is key to all surveys, fundamental to data collection, and to the analysis and
interpretation of the data. Introduction to Survey Sampling, Second Edition provides an …

Spatially distributed data exhibit particular characteristics that should be considered when
designing a survey of spatial units. Unfortunately, traditional sampling designs generally do …

A new spatial sampling method is proposed in order to achieve a double property of
balancing. The sample is spatially balanced or well spread so as to avoid selecting …

In balanced sampling a linear relation between the soil property of interest and one or more
covariates with known means is exploited in selecting the sampling locations. Recent …

Biodiversity loss on agricultural land is a major concern. Comprehensive monitoring is
needed to quantify the ongoing changes and assess the effectiveness of agri-environmental …

The organisation of a design of experiments, for example, for the realisation of a clinical trial,
is crucial. It is often desirable to balance designs so that the means of the covariates are …

In environmental research, there is an extensive knowledge of the underlying processes that
cause a distinct spatial landscape pattern of system properties. Statistical sampling theory …

Experience rating in insurance uses a Bayesian credibility model to upgrade the current
premiums of a contract by taking into account policyholders' attributes and their claim history …

全球化土壤环境问题的出现对基础输入数据的精度, 尺度和时序提出了更高要求,
面向数字土壤制图的土壤采样研究得到了快速发展. 首先利用文献计量学的方法定量化分析国内 …

When the study variables are functional and storage capacities are limited or transmission
costs are high, using survey techniques to select a portion of the observations of the …