Take advantage of the opportunity and acquire new skills on Sample Desings in a precise way and in a 100% online modality"

Engineers who master sampling designs can play an important role in managing quality and reducing company costs. By using proper sampling techniques, they can identify and correct problems in the production process before they affect product quality and increase costs. In addition, advanced knowledge in this area can help identify and eliminate waste and inefficiencies in procedures, increasing profitability and competitiveness in the marketplace. 

For this reason, TECH has designed a Postgraduate certificate in Sample Desings with which it seeks to provide students with the necessary skills to perform their work as specialists, with maximum efficiency and quality in their work. Thus, throughout this program, aspects such as Simple Random Sampling, Probability Sampling Applications or Indirect Estimation Methods will be addressed. 

All this, thanks to a convenient 100% online mode that allows students to organize their schedules and studies, combining them with their other day-to-day work and interests. In addition, this degree has the most complete theoretical and practical materials on the market, which facilitates the student's study process and allows them to achieve their objectives quickly and efficiently. 

Become an expert in Indirect Estimation Methods Applications in only 6 weeks and with total freedom of organization"

This Postgraduate certificate in Sample Desings contains the most complete and up-to-date program on the market. The most important features include:  

• The development of case studies presented by experts in Sample Design
• The graphic, schematic and eminently practical contents of the book provide sporting and practical information on those disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

Exceed your expectations with a complete and innovative program on one of the most promising areas of Computational Statistics"  

The program’s teaching staff includes professionals from the sector who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

Its multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive education programmed to learn in real situations.  

The design of this program focuses on Problem-Based Learning, by means of which the professional must try to solve the different professional practice situations that are presented throughout the academic course. For this purpose, the student will be assisted by an innovative interactive video system created by renowned experts.  

Delve into the essentials of Probability Sampling Applications, from the comfort of your home, 24 hours a day"

Access all the content about Sample Desings from any device with an internet connection and at the times that best suit you"

The content and structure of this curriculum have been designed by the prestigious professionals that make up TECH team of experts in Computational Statistics. These specialists have used their extensive experience and state-of-the-art knowledge to create practical and completely up-to-date content. All this, based on the most efficient pedagogical methodology, TECH Relearning. 

Expand your knowledge of Sample Desings, thanks to the most innovative teaching materials and a wide variety of additional content available on the Online Campus"

Module 1. Sampling Designs  

1.1. General Considerations on Sampling 

1.1.1. Introduction 
1.1.2. Historical Background 
1.1.3. Concept of Population, Frame and Sample 
1.1.4. Advantages and Disadvantages of Sampling 
1.1.5. Stages in a Sampling Process 
1.1.6. Sampling Applications 
1.1.7. Types of Sampling 
1.1.8. Sampling Designs 

1.2. Simple Random Sampling 

1.2.1. Introduction 
1.2.2. Definition of Sample Design m.a.s. (N, n), m.a.s.R and Associated Parameters 
1.2.3. Estimation of Population Parameters 
1.2.4. Determining Sample Sizes (without Replenishment) 
1.2.5. Determining Sample Sizes (with Replenishment) 
1.2.6. Comparison between Simple Random Sampling without and with Replacement 
1.2.7. Estimating Subpopulations 

1.3. Probability Sampling 

1.3.1. Introduction 
1.3.2. Sampling Design or Procedure 
1.3.4. Statistics, Estimators and Properties 
1.3.5. Estimator Distribution in Sampling 
1.3.6. Selecting Units without and with Replenishment. Equal Probabilities 
1.3.7. Simultaneous Variable Estimation 

1.4. Probability Sampling Applications 

1.4.1. Main Applications  
1.4.2. Examples:  

1.5. Stratified Random Sampling 

1.5.1. Introduction 
1.5.2. Definition and Characteristics 
1.5.3. Estimators under M.A.E(n) 
1.5.4. Bindings 
1.5.5. Determining Sample Size 
1.5.6. Other M.A.E. Aspects

1.6. Stratified Random Sampling Applications 

1.6.1. Main Applications  
1.6.2. Examples:

1.7. Systematic Sampling 

1.7.1. Introduction 
1.7.2. Estimates in Systematic Sampling 
1.7.3. Variance Decomposition in Systematic Sampling 
1.7.4. Efficiency of Systematic Sampling Compared to m.a.s
1.7.5. Variance Estimation: Replicate or Interpenetrating Samples 

1.8. Systematic Sampling Applications 

1.8.1. Main Applications  
1.8.2. Examples:  

1.9. Indirect Estimation Methods 

1.9.1. Ratio Methods 
1.9.2. Regression Methods 

1.10. Indirect Estimation Methods Applications 

1.10.1. Main Applications  
1.10.2. Examples: 

Thanks to TECH Relearning, you will be able to acquire new knowledge in a precise and natural way, without spending too much time studying"