Skip to main content
Log in

Variances and covariances underlying loading estimates and part-whole relationships

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

The effluent limit guidelines are usually based on loading estimates of chemicals discharged into the environment. The loading estimates, calculated as the product of flow times concentration, have underlying mathematical relationships in terms of variances and covariances. These relationships are presented by using the moment generating function technique. Estimators of loading means are compared. Cramer-Rao bounds for the variances of unbiased estimators of the loading means are presented. Mathematical details underlying several part-whole and ratio estimators are also presented. An understanding of these relationships should provide unbiased estimates of loading means, variances and covariances.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. AndersonT.W.: 1958, An Introduction to Multivariate Analysis, John Wiley, New York.

    Google Scholar 

  2. DolanD.M., YuiA.K., and GeistR.D.: 1981, ‘Evaluation of River Load Estimation Methods for Total Phosphorus’, J. Great Lakes Res. 7 (3), 207–214.

    PubMed  Google Scholar 

  3. El-ShaarawiA.H., KuntzK.W., and SylvestreA.: 1985, ‘Estimation of Loading by Numerical Integration’, pp. 469–478 in. Development in Water Science. Statistical Aspects of Water Quality Monitoring. Vol. 27. Elsevier Science Pub., New York.

    Google Scholar 

  4. GoodmanL.A.: 1960, ‘On the Exact Variance of Products’, J. Am. Stat. Assoc. 55, 708–713.

    Google Scholar 

  5. E.P.A. Development Document for Effluent Limitations Guidelines and Standards for Organic Chemicals, Plastics and Synthetic Fibres. Point Source Category. Vols. 1 and 2. Oct. 1987. PB88-171335. National Technical Information Service. Springfield, VA 22161, U.S.A.

  6. KendallM.G.: 1946, The Advanced Theory of Statistics, Vols. 1 and 2, Charles Griffin and Co., London.

    Google Scholar 

  7. LindgrenB.W.: 1976, Statistical Theory, Macmillan Publishing Co., Inc., New York.

    Google Scholar 

  8. MOE: MISA Effluent Monitoring Regulations for the Petroleum Refining Sector: 1988, Ontario Ministry of the Environment. Queen's Printer for Ontario, Toronto.

  9. MoodA.M., GraybillF.A., and BoesD.C.: 1974, Introduction to the Theory of Statistics, McGraw-Hill, New York.

    Google Scholar 

  10. PearsonK.: 1897, ‘Mathematical Contributions to the Theory of Evolution.-On a Form of Spurious Correlation which may Arise when Indices are used in the Measurement of Organs’, Proc. Royal Soc. 60, 489–498.

    Google Scholar 

  11. PressS.J.: 1972, Applied Multivariate Analysis, Holt Rinehart and Winston Inc., New York.

    Google Scholar 

  12. SearleS.R.: 1969, ‘Correlation Between Means of Parts and Wholes’, Am. Stat. 4, 24.

    Google Scholar 

  13. SrivastavaM.S. and CarterE.M.: 1983, An Introduction to Applied Multivariate Statistics, North Holland, New York.

    Google Scholar 

  14. ThompsonM.E. and BischopingK.: 1985, ‘On the Estimation of Monthly Phosphorus Loadings’, pp. 460–468 in. Developments in Water Science. Statistical Aspects of Water Quality Monitoring. Vol. 27. Elsevier Science Pub., New York.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Sharma, A., Selliah, J. Variances and covariances underlying loading estimates and part-whole relationships. Environ Monit Assess 23, 243–267 (1992). https://doi.org/10.1007/BF00406964

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF00406964

Keywords

Navigation