Checking date: 17/05/2022

Course: 2022/2023

Survey Sampling
(13718)
Study: Bachelor in Statistics and Business (203)

Coordinating teacher: MARIN DIAZARAQUE, JUAN MIGUEL

Department assigned to the subject: Department of Statistics

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:

Requirements (Subjects that are assumed to be known)
Probability , Probability II Elementary Statistical Theory I, Elementary Statistical Theory II
Objectives
General objectives: 1. Capacity for analysis and synthesis. 2. To model and solve problems. 3. Oral and written communication skills. Specific objectives: 1. Knowledge, both in theory and practice, of the foundations of the main techniques of survey sampling. 2. Differentiation of the different types of sampling. 3. Ability to make inference in finite populations under complex sampling designs.
Skills and learning outcomes
Description of contents: programme
The course is an introduction to the basic concepts and methods of Survey Sampling. 1. Introduction. 2. Simple random sampling. 2.1. Description 2.2. Inference under the design 3. Stratified random sampling. 3.1. Description 3.2. Inference under the design 4. Ratio, regression and difference estimators. 4.1. Estimators 4.2. Sampling error 5. Systematic sampling. 5.1. Description 5.2. Inference under the design 6. Cluster sampling. 6.1. Description 6.2. Inference under the design 7. Determination of the sample size. 7.1. From the absolute error 7.2. From the relative error 8. Two-stage sampling. 8.1. Description 8.2. Inference under the design
Learning activities and methodology
Competences will be acquired by students both through theoretical lectures and the resolution of assigned homeworks. There will also be practical classes of exercises.
Assessment System
• % end-of-term-examination 40
• % of continuous assessment (assigments, laboratory, practicals...) 60
Calendar of Continuous assessment
Basic Bibliography
• Cochran, W. . Sampling Techniques, 3rd Edition. John Wiley.. 1977
• Lohr, S.. Sampling: Design and Analysis. Duxbury. 1999
• Scheaffer, R.L., Mendenhall, W., Ott, L. and Gerow, K.G.. Elementary Survey Sampling. Cengage Learning, Inc. 2010
• Tillé, Y.. Sampling Algorithms. Springer. 2002