เปรียบเทียบวิธี

	การสุ่มตัวอย่างแบบแบ่งชั้นที่ไม่เป็นสัดส่วน	การสุ่มตัวอย่างแบบง่าย (Simple Random Sampling
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1934	Early 20th century; systematized by Cochran 1953/1977
ผู้ริเริ่ม	Jerzy Neyman	William Gosset, Jerzy Neyman, and formalized by William Cochran
ประเภท	Probability sampling design	Probability sampling design
แหล่งต้นตำรับ	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407	Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
ชื่อเรียกอื่น	disproportionate stratified sampling, unequal-probability stratified sampling, oversampling stratified design, non-proportional stratified sampling	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
ที่เกี่ยวข้อง	6	6
สรุป	Disproportional stratified sampling divides the population into mutually exclusive strata and deliberately draws different proportions from each stratum — oversampling small or analytically important subgroups and undersampling large ones. Post-hoc weighting restores population-level representativeness when overall estimates are needed. First formalised by Jerzy Neyman in 1934, it is the standard approach when subgroup-level precision matters as much as total-population estimates.	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.