방법 비교

	적응형 단순 무작위 표본 추출	단순 무작위 표본 추출(SRS)
분야	조사방법론	조사방법론
계열	Process / pipeline	Process / pipeline
기원 연도	1990–1992	Early 20th century; systematized by Cochran 1953/1977
창시자	Steven K. Thompson	William Gosset, Jerzy Neyman, and formalized by William Cochran
유형	Probability-based adaptive sampling design	Probability sampling design
원전	Thompson, S. K. (1992). Sampling. John Wiley & Sons. ISBN: 978-0471548850	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
별칭	ASRS, adaptive SRS, adaptive random sampling, sequential adaptive sampling	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
관련	5	6
요약	Adaptive simple random sampling (ASRS) begins with a conventional simple random sample and then expands the sample in regions where the variable of interest exceeds a pre-specified threshold. Units neighboring a qualifying observation are added to the sample, allowing the design to concentrate effort where the population is dense or rare, while retaining unbiased estimation through the Horvitz-Thompson or Hansen-Hurwitz estimators. The approach was systematized by Steven K. Thompson in the early 1990s as part of the broader adaptive sampling framework.	Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.