THE EMPIRICAL CHARACTERISTIC FUNCTION AND LARGE SAMPLE HYPOTHESIS TESTING

Many properties of distribution functions can be characterized in terms of their characteristic functions. This suggests that statistical inference about such properties might utilize the characteristic function. This requires that some means be found to gather information about the characteristic function from a random sample. In this investigation, the empirical characteristic function is proposed to do this.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-17
DOI
https://doi.org/10.5281/zenodo.14506987
Primary Topic
Statistical Distribution Estimation and Applications
Type
article
Field-Weighted Citation Impact
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article

THE EMPIRICAL CHARACTERISTIC FUNCTION AND LARGE SAMPLE HYPOTHESIS TESTING

Zenodo (CERN European Organization for Nuclear Research)
Statistical Distribution Estimation and Applications
article

THE EMPIRICAL CHARACTERISTIC FUNCTION AND LARGE SAMPLE HYPOTHESIS TESTING

article en

Abstract

Many properties of distribution functions can be characterized in terms of their characteristic functions. This suggests that statistical inference about such properties might utilize the characteristic function. This requires that some means be found to gather information about the characteristic function from a random sample. In this investigation, the empirical characteristic function is proposed to do this.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 63%
Statistical Distribution Estimation and Applications
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THE EMPIRICAL CHARACTERISTIC FUNCTION AND LARGE SAMPLE HYPOTHESIS TESTING · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS