This paper is not intended to give the pros or cons of conventional sampling methods (generators of numbers). Rather, our intent is to emphasize the importance of the credibility and integrity of the generated number, by what ever methodology selected, and point out some problems that can be encountered when numbers are poorly generated or analyzed. As generators of numbers we are responsible for the end-products of data analysis for the decision maker. This material was digitized as part of a cooperative project between the Society for Range Management and the University of Arizona Libraries. The Journal of Range Management archives are made available by the Society for Range Management and the University of Arizona Libraries. Contact lbry-journals@email.arizona.edu for further information. Migrated from OJS platform August 2020
Scholarly peer-reviewed articles published by the Society for Range Management. Access articles on a rolling-window basis from vol. 1, 1948 up to 5 years from the current year. Formerly Journal of Range Management (JRM). More recent content is available by subscription from SRM.