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This is a statistical loom in which to estimate the residual amounts of pesticides with various activities present in environmental samples by employing electro analytical techniques such as adsorptive stripping voltammetry. Average amounts for ten replicates found by applying statistical concepts such as standard deviation and correlation coefficient and in all the findings in this approach all the possible errors are minimised and accuracy is maximised. Water samples of various areas are collected and investigated for pesticide residues before and after the application of pesticides.
K. Sivasankar. 2018. \u201cStatistical Estimation of the Persistence of Pesticides in Water Samples\u201d. Global Journal of Science Frontier Research - F: Mathematics & Decision GJSFR-F Volume 18 (GJSFR Volume 18 Issue F3): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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Total Score: 102
Country: India
Subject: Global Journal of Science Frontier Research - F: Mathematics & Decision
Authors: Pinnamreddy Sreehari Reddy, Thommandru Raveendranath Babu (PhD/Dr. count: 0)
View Count (all-time): 161
Total Views (Real + Logic): 3166
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Publish Date: 2018 04, Mon
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This is a statistical loom in which to estimate the residual amounts of pesticides with various activities present in environmental samples by employing electro analytical techniques such as adsorptive stripping voltammetry. Average amounts for ten replicates found by applying statistical concepts such as standard deviation and correlation coefficient and in all the findings in this approach all the possible errors are minimised and accuracy is maximised. Water samples of various areas are collected and investigated for pesticide residues before and after the application of pesticides.
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