Sampling Methods for Applied Research
Text and Cases
Published on 2. February 1996
Book
Paperback/Softback
456 pages
978-0-471-04727-8 (ISBN)
Description
An excellent introductory that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. Describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach. The accompanying disk contains data files for cases and two computer programs--one of which is an interactive DOS program designed to serve as a tutorial by assisting the implementation of complicated sampling formulas.
More details
Persons
About the Author Peter Tryfos is Professor of Management Science, Faculty of Administrative Studies, at York University, Ontario, Canada. He is the author of a text, Business Statistics, published in Canada by McGraw-Hill Ryerson, and a number of articles in applied statistics that have appeared in the Journal of the American Statistical Association, Management Science, Operations Research, and other journals.
Content
Part One: Text Introduction Preliminaries Simple random sampling Stratified random sampling Two-stage random sampling Ratio and regression estimators Some Special Topics Sampling with unequal probabilities Sampling from a process Nonsampling errors Part Two: Cases Canabag Manufacturing Company-Part I Canabag Manufacturing Company-Part II Valuation of government properties-Part I Valuation of government properties-Part II Valuation of government properties-Part III Valuation of government properties-Part IV PackGoods Inc. Pharmacom Research-Part I Pharmacom Research-Part II Tenderdent Toothpaste Appendices Basic Concepts Glossary and Technical Summary Computing Instructions Solutions to Selected Problems