विधियों की तुलना करें

	अनुकूली सरल यादृच्छिक नमूनाकरण	स्तरीकृत प्रतिचयन
क्षेत्र	सर्वेक्षण पद्धति	सर्वेक्षण पद्धति
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1990–1992	1977
प्रवर्तक	Steven K. Thompson	William G. Cochran
प्रकार	Probability-based adaptive sampling design	Probability-based survey sampling design
मौलिक स्रोत	Thompson, S. K. (1992). Sampling. John Wiley & Sons. ISBN: 978-0471548850	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
उपनाम	ASRS, adaptive SRS, adaptive random sampling, sequential adaptive sampling	Proportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
संबंधित	5	2
सारांश	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.	Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.