Course detail

LCE5707 - Sampling

Credit hours

In-class work
per week
per week
15 weeks
120 hours

Idemauro Antonio Rodrigues de Lara
Sônia Maria De Stefano Piedade

Capacitate students in the planning of sample designs as well as in the estimation methods involved.

Module Outline: Probabilistic and non-probabilistic sampling designs, point and interval estimation
methods, applications and computational resources.
Program Content
1. Introduction to sampling problems and mathematical foundation. 2. Simple random sampling with
and without replacement. 3. Systematic sampling. 4. Stratified sampling. 5. Cluster sampling. 6.
Sampling in two or more stages. 7. Ratio and regression estimators. 8. Unequal probability sampling and
sampling in complex designs. 9. Sample and population sizing. 10. The non-response in the analysis. 11.
Non-probabilistic sampling. 12. Bootstrap.

Bolfarine, H. Bussab, W.O. Elementos de Amostragem. São Paulo, SP. Edgard Blücher, 2005.
Cochran, W.G. Sampling Techniques, N.Y. John Wiley, 1977.
Hedayart, A.S.; Sinha, B.K. Design and Inference in Finite Population Sampling. John Wiley, 1991.
Heeringa, S. G., West B. T., Berglund P. A. Applied Survey Data Analysis. Chapman-Hall, 2020.
Lohr, Sharon. Sampling: Design and Analysis. 3rd ed. Chapman-Hall, 2022.
Manly, B.F.J. Statistics for Environmental Science and Management, Chapman-Hall, 2000.
Mendehall, W. Scheaffer, R.L. Ott. L. Elementary Sampling, 6th ed. Southbank: Thomson, 2006.
Valliant, R; Dorfman, A.H; Royall, R.M. Finite Population Sampling and Inference. John Willey, 2000.
Thompson, S.K. Sampling. 3rd. Edition, John Wiley, 2012.