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Volume 54 (2019)
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Pg 73 - 144 (February 2018)
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Pg 1 - 71 (January 2018)
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Pg 85 - 163 (August 2017)
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Pg 1 - 84 (July 2017)
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Pg 1 - 83 (January 2017)
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Pg 1 - 86 (July 2016)
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Pg 1 - 90 (January 2016)
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Pg 1 - 80 (January 2014)
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Pg 95 - 193 (December 2013)
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Pg 1 - 94 (November 2013)
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Pg 83 - 163 (October 2013)
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Pg 1 - 81 (September 2013)
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Pg 75 - 163 (August 2013)
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Pg 1 - 73 (July 2013)
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Pg 85 - 165 (June 2013)
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Pg 1 - 84 (May 2013)
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Pg 83 - 160 (April 2013)
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Pg 1 - 81 (March 2013)
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Pg 83 - 162 (February 2013)
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Pg 1 - 81 (January 2013)
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Pg 1 - 76 (November 2012)
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Pg 77 - 155 (October 2012)
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Pg 1 - 75 (September 2012)
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Pg 81 - 151 (August 2012)
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Pg 1 - 79 (July 2012)
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Pg 77 - 152 (August 2011)
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Pg 1 - 104 (July 2010)
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Pg 1 - 100 (January 2010)
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Pg 217 - 322 (December 2002)
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Pg 101 - 216 (August 2002)
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Pg 1 - 99 (April 2002)
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Pg 119 - 308 (December 2001)
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Pg 133 - 220 (August 2001)
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Advances and Applications in Statistics
Advances and Applications in Statistics
Volume 16, Issue 2, Pages 141 - 145 (June 2010)
A DIFFERENT APPROACH TO QUANTIFY RESPONSE VARIANCE IN SURVEYS
Roshanak Alimohammadi
Abstract
Estimation of precision in surveys is important due to the applications of survey results. In this paper, response variance of survey results is studied by a different method and some criteria of determining the deviation are presented. The proposed criteria can be applied to estimate the part of total survey variance related to response error.
Keywords and phrases:
data accuracy, response error model, precision, total survey variance.
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ISSN: 0972-3617
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