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Sampling in the twenty-first century

Article Abstract:

This article summarizes the most significant developments in surveys sampling in the twentieth century, especially as they relate to marketing and marketing research, and attempts to predict, based on what we know now, significant developments that will occur early in the twenty-first century. The article is divided into the following sections: (1) Developments in Door-to-Door Sampling, (2) Developments in Telephone and Mail Surveys, (3) Location Samples, (4) Focus Groups and Other Sloppy Samples, (5) Sampling Rare Populations, (6) Business Surveys, (7) Panels, (8) Developments in the Theoretical Foundation of Survey Sampling, and (9) The Evolutionary Process and Future Developments. (Reprinted by permission of the publisher.)

Author: Blair, Edward, Sudman, Seymour
Publisher: Sage Publications, Inc.
Publication Name: Journal of the Academy of Marketing Science
Subject: Business
ISSN: 0092-0703
Year: 1999
History, Statistical sampling, Sampling (Statistics), Market surveys

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Strategies to Boost Liquidation Payout

Article Abstract:

Credit managers must be aware of possible fraud when handling customers who are liquidating their assets. Recommended strategy involves determining if total assets are being liquidated and then closely watching inventory and distribution rates. Obtaining a higher settlement is more likely if the attorney sends the letter confirming liquidation.

Publisher: Cashflow Magazine
Publication Name: Cashflow Magazine
Subject: Business
ISSN: 0196-6227
Year: 1984
Analysis, Services, Consumer credit, Liquidation

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On Optimality of Double Sampling Strategies with Varying Probabilities

Article Abstract:

Formulations are derived for double sampling situations with similarity to single-phase sampling. The results concern the nonexistence of uniformly minimum variance estimators. Finite populations under various conditions are considered.

Author: Chaudhuri, A., Adhikary, A.K.
Publisher: Elsevier B.V.
Publication Name: Journal of Statistical Planning and Inference
Subject: Business
ISSN: 0378-3758
Year: 1983
Industrial efficiency, Economic efficiency

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