ON THE RESAMPLING METHOD IN SAMPLE MEDIAN ESTIMATION

Authors

  • Grzegorz Kończak

Keywords:

bootstrap, kernel estimation, small sample

Abstract

Bootstrap is one of the resampling statistical methods. This method was proposed by B. Efron. The main idea of bootstrap is to treat the original sample of values as a stand-in for the population and to resample with replacement from it repeatedly. Bootstrap allows estimation of the sampling distribution of almost any statistics using only very simple methods. This paper presents a modification of a resampling procedure based on bootstrap sampling. The proposal leads to sampling from population with density function f(x), where f(x) is estimated based on the kernel estimation. The properties of the method were analyzed in the median estimation in Monte Carlo study.

The proposal could be useful for the parameters estimation in the case of a small sample. This method could be used in quality control procedures such as control charts or in the acceptance sampling.

Downloads

Download data is not yet available.

Downloads

Published

2014-11-09

How to Cite

Kończak, G. (2014). ON THE RESAMPLING METHOD IN SAMPLE MEDIAN ESTIMATION. Acta Universitatis Lodziensis. Folia Oeconomica, 3(302). Retrieved from https://czasopisma.uni.lodz.pl/foe/article/view/52

Issue

Section

Economics

Similar Articles

<< < 1 2 3 4 5 6 7 8 9 10 11 > >> 

You may also start an advanced similarity search for this article.