A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities

Ferguson, Thomas S.

Ann. Math. Statist., Tome 29 (1958) no. 4, p. 1046-1062 / Harvested from Project Euclid

Résumé

Various minimum $\chi^2$ methods used for generating B.A.N. estimates are summarized, and a new method which generates B.A.N. estimates as roots of certain linear forms is introduced and investigated. As a particular application of the method, the estimation of the bacterial density in an experiment using dilution series is considered.

Publié le : 1958-12-14
Classification:

@article{1177706440,
     author = {Ferguson, Thomas S.},
     title = {A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities},
     journal = {Ann. Math. Statist.},
     volume = {29},
     number = {4},
     year = {1958},
     pages = { 1046-1062},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1177706440}
}

Ferguson, Thomas S. A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities. Ann. Math. Statist., Tome 29 (1958) no. 4, pp.  1046-1062. http://gdmltest.u-ga.fr/item/1177706440/