Abstract
Methodology for statistical procedures to perform tests of hypothesis pertaining to various aspects of geostatistical investigations has been slow in developing. The correlated nature of the data precludes most classical tests and makes the design of new tests difficult. Recent studies have led to modifications of the classical t test which allow for the intercorrelation. In addition, results for certain nonparametric tests have been obtained. The conclusions of these studies provide a variety of new tools for the geostatistician in deciding questions on significant differences and magnitudes.
Similar content being viewed by others
References
Bell, C. B. and Smith, P. J., 1969, Some Nonparametric Tests for the Multivariate Goodness-of-Fit, Multisample, Independence, and Symmetry Problems, in Krishnaiah, (Ed.), Multivariate Analysis-II: Academic Press, New York, p. 3–23.
Connover, W J., 1971, Practical Nonparametric Statistics: John Wiley & Sons, New York, 462 p.
Lehmann, E. L. and D'Abrera, H. J. M., 1975, Nonparametrics: Holden-Day, San Francisco, 457 p.
Owen, D. B., 1962, Handbook of Statistical Tables, Addison-Wesley, Palo Alto, California 580 p.
Puri, M. L. and Sen, P. K., 1971, Nonparametric Methods in Multivariate Analysis: John Wiley & Sons, New York, 440 p.
Quimby, William, 1986, Selected Topics in Spatial Statistical Analysis, Ph.D. thesis: Statistics Department, University of Wyoming, Laramie, Wyoming.
Rao, C. R., 1973, Linear Statistical Inference and its Applications, 2nd Ed.: John Wiley & Sons, New York, 625 p.
Searle, S. R., 1982, Matrix Algebra Useful for Statistics, John Wiley & Sons, New York, 437 p.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Borgman, L.E. New advances in methodology for statistical tests useful in geostatistical studies. Math Geol 20, 383–403 (1988). https://doi.org/10.1007/BF00892985
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF00892985