Simple Random Sampling
Simple Random Sampling is a sampling method in which each possible subset of a given size from the population has an equal and independent probability of being selected, distinguishing it from other sampling techniques by its strict adherence to equiprobability and lack of stratification or clustering.
3K
Publications
105.3K
Citations
8.3K
Authors
2.1K
Institutions
Publications per year
2017–2026
1.5K
Parents
3K
Large Sample Properties of Simulations Using Latin Hypercube Sampling
Michael L. Stein · Technometrics · 1987 · 2K citations
Large Sample Properties of Simulations Using Latin Hypercube Sampling
Michael L. Stein · Technometrics · 1987 · 1.3K citations
Sampling of Populations: Methods and Applications
Eric R. Ziegel, Patrick Lévy, S. Lemeshaw · Technometrics · 1992 · 1.3K citations
1–5 of 3K
8.3K
20
h-index
18
h-index
18
h-index
14
h-index
12
h-index
1–5 of 8.3K
2.1K
University of Gondar
Gonder, Ethiopia
32 h-index
152 publications
6.7K citations

Bahir Dar University
Bahir Dar, Ethiopia
24 h-index
74 publications
2.3K citations
Airlangga University
Surabaya, Indonesia
21 h-index
81 publications
2.2K citations
Universitas Patria Artha
Makassar, Indonesia
20 h-index
74 publications
2.4K citations
Jimma University
Jimma, Ethiopia
19 h-index
53 publications
2.1K citations
State University of Jakarta
Jakarta, Indonesia
18 h-index
98 publications
2.6K citations
Quaid-i-Azam University
Islamabad, Pakistan
18 h-index
43 publications
1.2K citations
Al al-Bayt University
Al Mafraq, Jordan
17 h-index
36 publications
1K citations
1–8 of 2.1K
Repository · 102 publications · 2.9K citations
30
h-index
32 publications · 5.9K citations
26
h-index
48 publications · 1.5K citations
25
h-index
36 publications · 1K citations
20
h-index
29 publications · 1.2K citations
19
h-index
1–5