VARIANCE PREDICTION FOR POPULATION SIZE ESTIMATION

IF 0.8 4区计算机科学 Q4 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY

Image Analysis & Stereology Pub Date : 2019-07-18 DOI:10.5566/IAS.1991

Ana I Gómez, Marcos Cruz, L. Cruz-Orive

引用次数: 3

Abstract

Design unbiased estimation of population size by stereological methods is an efficient alternative to automatic computer vision methods, which are generally biased. Moreover, stereological methods offer the possibility of predicting the error variance from a single sample. Here we explore the statistical performance of two alternative variance estimators on a dataset of 26 labelled crowd pictures. The empirical mean square errors of the variance predictors are compared by means of Monte Carlo resampling.

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人口规模估计的方差预测

用立体方法设计无偏估计总体大小是一种有效的替代自动计算机视觉方法，它通常是有偏的。此外，立体方法提供了从单个样本预测误差方差的可能性。在这里，我们探讨了两个替代方差估计器在26个标记人群图片的数据集上的统计性能。采用蒙特卡罗重抽样的方法比较了方差预测因子的经验均方误差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Image Analysis & Stereology MATERIALS SCIENCE, MULTIDISCIPLINARY-MATHEMATICS, APPLIED

CiteScore

2.00

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Image Analysis and Stereology is the official journal of the International Society for Stereology & Image Analysis. It promotes the exchange of scientific, technical, organizational and other information on the quantitative analysis of data having a geometrical structure, including stereology, differential geometry, image analysis, image processing, mathematical morphology, stochastic geometry, statistics, pattern recognition, and related topics. The fields of application are not restricted and range from biomedicine, materials sciences and physics to geology and geography.