DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/hwkz46/sst_and_education) has announced the addition of the "SST & Education Report: Ranked Set Sampling" report to their offering.
Sample survey is an art to estimate population parameters by observing some units of the population. Scientists refer to it as Miniature Population. This, in turn, saves scarce resources that include of time, money, labour etc.
The first social survey using scientific sampling method was conducted on Standard of Living by Prof. A. L. Bowley in 1912. The quest for a miniature population started with the work of Bernaulli about 200 years ago. A century later, Poisson introduced the concept of stratification into sampling. Scientific basis for stratified sampling was provided by Kiaer (1897). The paper of Neyman (1934) considered a landmark in modern Survey Statistics. Randomness is introduced in sampling for eliminating the human biases.
Thus, probabilistic sampling comes into picture under the design based sampling. To make a sample representative of the population, one needs an adequate number of randomly selected sampling units. Adequacy is directly related to efficiency and costs. This leads to conflict between desirability and affordability. The situation arises for a trade off between the two.
Key Topics Covered:
Chapter 1: Introduction
Chapter 2: Ranked Set Sampling
Chapter 3: RSS and Some Classical Sampling Methods
Chapter 4: Determination of Sample Size and Cost Considerations
Chapter 5: RSS and Probability Proportional to Size
Chapter 6: Estimation of Parameters using Multivariate Characteristics
Chapter 7: Doubly Induced Stratified Ranked Set Sampling
Chapter 8: RSS in Achievement Level Survey
For more information visit http://www.researchandmarkets.com/research/hwkz46/sst_and_education