Sampling Methods for Applied Research

Peter Tryfos

ISBN 10: 0471047279 / ISBN 13: 9780471047278

Published by John Wiley and Sons Ltd, 1996

About this Item

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. Num Pages: 464 pages, Illustrations. BIC Classification: PBT; PBW. Category: (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 191 x 23. Weight in Grams: 782. . 1996. 1st Edition. Paperback. . . . .

Seller Inventory # V9780471047278

Bibliographic Details

• Title: Sampling Methods for Applied Research
• Publisher: John Wiley and Sons Ltd
• Publication Date: 1996
• Language: English
• ISBN 10: 0471047279
• ISBN 13: 9780471047278
• Binding: Soft cover
• Edition: 1st Edition
• Condition: New

About this title

Synopsis

An applied, one-semester introduction to sampling methods for non-mathematics majors that uses simple numerical illustrations to provide an intuitive understanding of concepts and confirm major results. The text describes various methods for sample selection and estimation including unequal probability sampling and the prediction approach. The accompanying disk contains data files for ten cases and two computer programs- one of which is an interactive DOS program designed to serve as a tutorial by assisting the implementation of sampling formulas. The book is intended primarily for upper-level undergraduate or graduate level students of business, government, health administration, economics, political science and other social sciences. It may also be used as a main or supplementary text in service courses on sampling offered by statistics and math departments.

About the Author

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.