Recursive estimates of quantile based on 0-1 observations
Applications of Mathematics, Tome 37 (1992) no. 3, pp. 173-192

Voir la notice de l'article provenant de la source Czech Digital Mathematics Library

MR Zbl
The objective of this paper is to introduce some recursive methods that can be used for estimating an $LD-50$ value. These methods can be used more generally for the estimation of the $\gamma$-quantile of an unknown distribution provided we have 0-1 observations at our disposal. Standard methods based on the Robbins-Monro procedure are introduced together with different approaches of Wu or Mukerjee. Several examples are also mentioned in order to demonstrate the usefulness of the methods presented.
The objective of this paper is to introduce some recursive methods that can be used for estimating an $LD-50$ value. These methods can be used more generally for the estimation of the $\gamma$-quantile of an unknown distribution provided we have 0-1 observations at our disposal. Standard methods based on the Robbins-Monro procedure are introduced together with different approaches of Wu or Mukerjee. Several examples are also mentioned in order to demonstrate the usefulness of the methods presented.
DOI : 10.21136/AM.1992.104502
Classification : 62G05, 62L20, 62P10
Keywords: nonparametric methods; isotonic regression; quantile; recursive methods; $LD-50$ value; 0-1 observations; Robbins-Monro procedure; examples; stochastic approximation
Charamza, Pavel. Recursive estimates of quantile based on 0-1 observations. Applications of Mathematics, Tome 37 (1992) no. 3, pp. 173-192. doi: 10.21136/AM.1992.104502
@article{10_21136_AM_1992_104502,
     author = {Charamza, Pavel},
     title = {Recursive estimates of quantile based on 0-1 observations},
     journal = {Applications of Mathematics},
     pages = {173--192},
     year = {1992},
     volume = {37},
     number = {3},
     doi = {10.21136/AM.1992.104502},
     mrnumber = {1157454},
     zbl = {0764.62068},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.21136/AM.1992.104502/}
}
TY  - JOUR
AU  - Charamza, Pavel
TI  - Recursive estimates of quantile based on 0-1 observations
JO  - Applications of Mathematics
PY  - 1992
SP  - 173
EP  - 192
VL  - 37
IS  - 3
UR  - http://geodesic.mathdoc.fr/articles/10.21136/AM.1992.104502/
DO  - 10.21136/AM.1992.104502
LA  - en
ID  - 10_21136_AM_1992_104502
ER  - 
%0 Journal Article
%A Charamza, Pavel
%T Recursive estimates of quantile based on 0-1 observations
%J Applications of Mathematics
%D 1992
%P 173-192
%V 37
%N 3
%U http://geodesic.mathdoc.fr/articles/10.21136/AM.1992.104502/
%R 10.21136/AM.1992.104502
%G en
%F 10_21136_AM_1992_104502

[1] Barlow R. E., Bartholomew D. J., Bremner J. M., and Brunk H.D.: Statistical Inference Under Order Restrictions. Wiley, London, 1972.

[2] Blum J. R.: Multidimensional stochastic approximation procedures. AMS 25 (1954), 737-744. | MR

[3] Charamza P.: Stochastic approximation on the lattice. Diploma work, Faculty of mathematics and physics, Charles University Prague, 1984. (In Czech.)

[4] Charamza P.: Software for stochastic approximation. Proceedings of the conference ROBUST 1990.

[5] Derman C.: Non-parametric up-and-down experimentation. AMS 28 (1957), 795-797. | MR | Zbl

[6] Dixon Mood: A method for obtaining and analyzing sensitivity data. JASA 43 (1948), 109-126. | DOI

[7] Dupač V.: Quasiisotonic regression and stochastic approximation. Metrika 34 (1987), 117-123. | DOI | MR

[8] Dupač V., Henkenrath U.: On integer stochastic approximation. Aplikace matematiky 29 (1984), 372-383. | MR

[9] Fabián V.: On asymptotic normality in stochastic approximation. AMS 39 (1968), 1327-1332. | MR

[10] Holst U.: Recursive estimation of quantiles. Contributions to probability and statistics in honor of Gunnar Blom, Univ. Lund, 1985, pp. 179-188. | MR | Zbl

[11] Lord P. M.: Tailored testing. An application of stochastic approximation. Journal of the American Statistical Association 66 (1971), 707-711. | DOI | Zbl

[12] Mukerjee H. G.: A stochastic approximation by observation on a discrete lattice using isotonic regression. AMS 9 (1981), 1020-1025. | MR

[13] Nevelson M. B.: On the properties of the recursive estimates for a functional of an unknown distribution function. Limit Theorems of Probability Theory (P. Revezs, eds.), Amsterodam, 1975, pp. 227-252. | MR

[14] Robbins H., Lai T. L.: Adaptive design and stochastic approximation. AS 7 (1979), 1196-1221. | MR | Zbl

[15] Robbins H., Lai T. L.: Consistency and asymptotic efficiency of slope estimates in stochastic approximation schemes. Z. Wahrsch. Verw. Gebiete 56 (1981), 329-360. | DOI | MR | Zbl

[16] Roth, Josífko, Malý, Trčka: Statistical methods in experimental medicine. Státní. zdravotnické nakladatelství, Praha, 1962, pp. 592. (In Czech.)

[17] Sacks J.: Asymptotic distribution of stochastic approximation procedures. AMS 29 (1958), 373-405. | MR | Zbl

[18] Wu C.F. J.: Efficient sequential designs with binary data. Journal of the American Statistical Association 80 (1985), 974-984. | DOI | MR | Zbl

[19] Silvapulle M. J.: On the existence of maximum likelihood estimators for the binomial response problem. Journal of the Royal Statistical Society, Ser. B 43 (1981), 310-313. | MR

Cité par Sources :