A Comprehensive Textbook on Sample Surveys

As a comprehensive textbook in survey sampling, this book discusses the inadequacies of classic, designed-based inferential procedures and provides alternative approaches in the form of model formulations, model-design-based procedures of analysis, inference and interpretation. The book focuses on a wide range of topics which included Bayesian and Empirical Bayesian approaches, complex procedures of stratification, clustering, sampling in multi stages and phases, linear and non-linear estimation of parameters, small area estimation by spatial and chronological modelling, network and adaptive sampling methods and more. The book includes detailed case studies and exercises, making it valuable for students of statistics, specifically survey sampling.

Serves as a comprehensive textbook in survey sampling Provides alternative approaches to inadequate classic procedures Includes detailed case studies and exercises

Autorentext

Professor Arijit Chaudhuri is currently an honorary visiting professor in the Applied Statistics Unit (ASU) at the Indian Statistical Institute (ISI), Kolkata, India (since 1 September 2005). He retired as a Professor from the ISI on 31 August 2002, where he then continued to work as a CSIR Emeritus Scientist for three years up to 31 August 2005. Professor Chaudhuri holds a Ph.D. in Statistics from Calcutta University, where he graduated. He worked as a Post-Doctoral Researcher for two years at the University of Sydney (1973-75). He worked on invitation with various assignments including Visiting Professorships at universities/statistical offices in the USA, Canada, England, Germany, the Netherlands, Sweden, Israel, Cyprus, Turkey, Cuba, and South Africa (for long durations during 1979-2009). He has successfully mentored 10 Ph.D. students. To date he has published over 150 papers in peer-reviewed journals, a few of them jointly with his students and colleagues. He is the author of more than six books on the field of survey sampling and in particular on randomized response. Tasos C. Christofides is a Professor at the Department of Mathematics and Statistics, the University of Cyprus. He completed his Ph.D. in Mathematical Sciences at Johns Hopkins University in 1987. From 1987 until 1991 he was an Assistant Professor in the Department of Mathematical Sciences at the State University of New York at Binghamton. In 1991 he joined the newly founded University of Cyprus and the Department of Mathematics and Statistics, becoming its first Chairman. His areas of expertise include indirect questioning techniques and probability inequalities. He serves on the editorial board of various journals of statistics. He has participated in a number of research projects and has provided consulting services for various organizations including the Statistical Service of Cyprus.

Inhalt

1. Meaning and purpose of Survey Sampling.- 2. Inference in Survey Sampling.- 3. Sampling with Varying Probabilities.- 4. Fixing the size of an Equal Probability Sample.- 5. Adjusting Unit-Nonresponse by weighting & Tackling Item-Nonresponse by Imputation.- 6. Randomized Response & Indirect Survey Techniques.- 7. Super-Population Modeling. Model-Assisted Approach.Asymptotics.- 8. Prediction Approach: Robustness, Bayesian Methods, Empirical Bayes.- 9. Small Area Estimation & Developing Small Domain Statistics.- 10. Estimation of non-linear Parametric functions.- 11. Permanent random numbers, Poisson Sampling and Collocated Sampling.- 12. Network and Adaptive Sampling.- 13. Fixing size of a sample in Complex Strategies.- 14. Inadequate and Multiple Frame Data and Conditional Inference.- 15. Study of Analytical Surveys.- An Epilogue.- References.