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. . . . . Books ship from the US and Ireland.

Bestandsnummer des Verk�ufers V9780471047278

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Bibliografische Details

Titel: Sampling Methods for Applied Research
Verlag: John Wiley and Sons Ltd
Erscheinungsjahr: 1996
Sprache: Englisch
ISBN-10: 0471047279
ISBN-13: 9780471047278
Einband: Softcover
Zustand: New

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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.

�ber die Autorin bzw. den Autor

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.

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