SAMPLING METHODS FOR APPLIED RESEARCH

Tryfos, Peter

ISBN 10: 0471047279 / ISBN 13: 9780471047278

Edité par John Wiley & Sons, 1996

A propos de cet article

1st 1996. 'As new' condition in an 'as new' dustwrapper. Text and Cases. The text uses simple numerical illustrations to provide an intuitive understanding of concepts and to confirm major results. In addition to the standard methods of sample selection and estimation the book covers unequal probability sampling and the prediction approach. Packaged with care and promptly dispatched!

N° de réf. du vendeur 806100

Détails bibliographiques

• Titre: SAMPLING METHODS FOR APPLIED RESEARCH
• Éditeur: John Wiley & Sons
• Date de parution: 1996
• ISBN à 10 chiffres: 0471047279
• ISBN à 13 chiffres: 9780471047278
• Reliure: Hardback
• Édition: First edition.
• État de l'article: As New
• État de la jaquette: As New

A propos de ce titre

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.

À propos de l?auteur

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.