เปรียบเทียบวิธี

	การสุ่มตัวอย่างแบบแบ่งชั้นถ่วงน้ำหนัก	การสุ่มตัวอย่างแบบง่าย (Simple Random Sampling
สาขาวิชา	ระเบียบวิธีสำรวจ	ระเบียบวิธีสำรวจ
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1953–1965	Early 20th century; systematized by Cochran 1953/1977
ผู้ริเริ่ม	Leslie Kish; William G. Cochran	William Gosset, Jerzy Neyman, and formalized by William Cochran
ประเภท	Probability sampling with weighting	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	stratified sampling with weights, design-weighted stratified sampling, post-stratification weighting, WSS	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
ที่เกี่ยวข้อง	6	6
สรุป	Weighted stratified sampling divides a population into non-overlapping strata and draws a probability sample from each stratum, then attaches a design weight to every selected unit so that estimates correctly represent the full population. Weights compensate for unequal selection probabilities that arise from disproportionate stratum allocations, non-response, or frame imperfections, making the procedure the backbone of most large-scale national and international surveys.	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.