Elementary survey sampling
Duxbury Press, 1986 - Technology & Engineering - 324 pages
This introductory text on the design and analysis of sample surveys emphasizes the practical aspects of survey problems. It begins with brief chapters on the role of sample surveys in the modern world. Thereafter, each chapter introduces a sample survey design or estimation procedure by describing the pertinent practical problem. The authors describe the methodology proposed for solving the problem and provide the details of the estimation procedure, including a compact presentation of the formulas needed to complete the analysis. Then, a practical example is worked out in complete detail. At the end of each chapter, a wealth of exercises gives students ample opportunity to practice the techniques and stretch their grasp of ideas.
What people are saying - Write a review
We haven't found any reviews in the usual places.
Elements of the Sampling Problem
Simple Random Sampling
12 other sections not shown
Other editions - View all
accompanying table allocation average number block statistics Building calculate Chapter contains denote discussed employees error of estimation estimate the average estimate the population estimate the proportion estimate the total estimated variance Example Exercise experimenter firm given by Equation Hence households income interviews measurements method number of elements Number of Number obtained place a bound Plaza plots poll population mean population parameters population proportion population total probabilities proportional problem procedure question questionnaire random number random variable randomly ratio estimator regression estimator required to estimate response sample mean sample size required sample survey design sampling fractions sampling units second sample select the sample selecting a simple simple random sample Solution standard deviation strata stratified random sampling stratum subsample Suppose systematic sample tagged technique total number Tower trees two-stage cluster sampling unbiased estimator variable voters wants to estimate wishes to estimate