Tests and confidence intervals for geometric mean from one and two populations: a unified approach

digital

Article

Magazine

STATISTICA & APPLICAZIONI

Section

Open Access

Title

Tests and confidence intervals for geometric mean from one and two populations: a unified approach

Author

Elsayed A.H. Elamir

Publisher

Vita e Pensiero

Format

Article |

Pdf

Online from

10-2016

Issn

1824-6672 (print) | 2283-6659 (digital)

Write a comment for this product

Download

Ebook format Pdf readable on these devices:

Computer
with Software:
- Adobe PDF Reader
Android
iPhone/Ipad
with App:
- Adobe PDF Reader
E-Book Reader
Ibs Tolino
Kobo

Description Readers' comments

The geometric mean is a type of mean which indicates the central tendency of a set of numbers by using the product of their values and has many applications in several fields such as proportional growth, signal processing and spectral flatness. A unified approach to tests and confidence intervals for geometric mean in one population and two populations are introduced based on lognormal distribution under no conditions on the parent population. The distribution of the ratio of two geometric means is derived without any assumption on the distribution of the data. Three applications in banking, business and medicine are used to illustrate the benefits of the method.

Enter a comment for Tests and confidence intervals for geometric mean from one and two populations: a unified approach