Use of Order Statistics in Estimating Standard Deviations

Although many statistical surveys and experimental studies have been and are being conducted for many segments of the economy, including agriculture, standard errors are seldom computed. Estimates of these errors are frequently needed to evaluate survey results and for the planning of future studies. The computation of standard errors is frequently omitted because of the time-consuming procedures required. The use of rank, or order, methods of analysis has increased rapidly in the last few years. These methods provide the analyst with a quick, effective, and inexpensive tool for making many statistical estimates. In this paper, the use of order statistics to estimate standard deviations for certain agricultural series is described and the results are compared with those obtained by the root mean square method.


Issue Date:
1956-07
Publication Type:
Journal Article
PURL Identifier:
http://purl.umn.edu/144770
Published in:
Agricultural Economics Research, Volume 08, Number 3
Page range:
95-98
Total Pages:
4




 Record created 2017-04-01, last modified 2017-08-27

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