The phrase "a framework for sampling" is correct and usable in written English.
It can be used in contexts related to research, data collection, or methodologies where a structured approach to sampling is being discussed.
Example: "The study developed a framework for sampling that ensured a representative selection of participants."
Alternatives: "a structure for sampling" or "a model for sampling".
This article presents a basic latent growth modeling approach for analyzing repeated measures data and delineates several of its extensions, including analyses for multiple populations, accelerated designs, multivariate associative models, and a framework for sample size selection and power estimation.
Our sampling strategy for inversions is a realization of a general framework for sampling from nested models (Miklós I, unpublished data [ http://ramet.elte.hu/∼miklosi/msis.pdf]).hu/∼miklosi/msis.pdf]
These classes were used as a framework for soil sampling.
In the above sections, we reviewed how Markov state models present a natural framework for sampling and analysis of protein dynamics.
In turn, improved knowledge of the structure and practices of livestock production can provide a framework for strategic pathogen sampling, allowing the linkage of production systems with their microbial and genetic profiles to identify vulnerabilities and drivers of pathogen diversity and evolution at each stage of the production process.
We develop a mathematical framework for sample selection bias in models for population structure and also proposed a correction for sample selection bias using auxiliary information about the sample.
A framework for controller design of sampled-data nonlinear systems via their approximate discrete-time models has been established recently.
We present a simple construction method for Feller processes and a framework for the generation of sample paths of Feller processes.
We have developed a new hierarchical European Landscape Classification that can be used as a framework for, e.g., indicator reporting and environmental sampling.
A discrete global grid system (DGGS) is a spatial data model that aids in global research by serving as a framework for environmental modeling, monitoring and sampling across the earth at multiple spatial scales.
