A Unified Weight Formula for Calculating the Sample Variance from Weighted Successive Differences

Joint Authors

Lo, Kuo-Hung
Sun, Tien-Lung
Chen, Juei-Chao

Source

Discrete Dynamics in Nature and Society

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-4, 4 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-08-27

Country of Publication

Egypt

No. of Pages

4

Main Subjects

Mathematics

Abstract EN

The basic formula to calculate sample variance is based on the sum of squared differences from mean.

From computational perspective, mean calculation is nondesired as it can introduce computing errors.

Previous researches have proposed to use weighted formula of the successive differences to calculate sample variance to avoid mean calculation.

But their weighted formula is not in a unified format in the sense that it has to be represented as two formulas.

This paper proposes a unified weight formula for sample variance calculation from weighted successive differences.

A proof is provided to show that sample variance calculated using the proposed unified weighted formula is mathematically equivalent to the basic definition.

American Psychological Association (APA)

Lo, Kuo-Hung& Sun, Tien-Lung& Chen, Juei-Chao. 2014. A Unified Weight Formula for Calculating the Sample Variance from Weighted Successive Differences. Discrete Dynamics in Nature and Society،Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1017906

Modern Language Association (MLA)

Lo, Kuo-Hung…[et al.]. A Unified Weight Formula for Calculating the Sample Variance from Weighted Successive Differences. Discrete Dynamics in Nature and Society No. 2014 (2014), pp.1-4.
https://search.emarefa.net/detail/BIM-1017906

American Medical Association (AMA)

Lo, Kuo-Hung& Sun, Tien-Lung& Chen, Juei-Chao. A Unified Weight Formula for Calculating the Sample Variance from Weighted Successive Differences. Discrete Dynamics in Nature and Society. 2014. Vol. 2014, no. 2014, pp.1-4.
https://search.emarefa.net/detail/BIM-1017906

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1017906