The nth Power Transformation of the Error Component of the Multiplicative Time Series Model
A. O. Dike, E. L. Otuonye, D. C. Chikezie
Journal of Advances in Mathematics and Computer Science · pp. 1–15 · Published 4 Aug 2016
10.9734/BJMCS/2016/27246Abstract
In this paper the author(s) present derivations for the mean and variance of the nth power transformation of the error component of the multiplicative time series model. as a general rule to any power transformation. Some of the published transformations like the square root and the inverse were used to validate the results obtained. The results showed that they conformed to the general rule.
Cited by 3
S. A. Othman, Haithem Taha Mohammad Ali · Statistics, Optimization & Information Computing · 2023
Onyemachi Chris Uchechi · Science Journal of Applied Mathematics and Statistics · 2021
Related research
- Research on the Effect of Pigments Rate on Quality and Quantity of Secondary Metabolites in Camellia sinensis L. in 13 Experimental Clones and Comparison in Two Times of Spring and Summer — shares topic coverage
- A Renewed Understanding of Shell-shape Diversity among Marine Gastropod Species: Invariance and Covariance between Geometrical Parameters in Conispirally Coiled Shells — shares topic coverage
- Chevron Bone and OS Penis in Dog: Structural and Functional Anatomy — shares topic coverage
- The Functions of Actors in the Tahtay Adyabo District of Tigray, Ethiopia's Small Ruminant Value Chain — shares topic coverage
- Renal and Hepatic Dysfunctions in Early Phase of Experimental Trypanosoma brucei Infection of Nigerian Pigs — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
3
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.