Generalized Power Transformation of Error Components of Multiplicative Time Series Model

Channel:
India BP International
Subscribers:
8,710
Published on ● Video Link: https://www.youtube.com/watch?v=G8YczCYx89Y


Duration: 0:00
21 views
3

Generalized Power Transformation of Error Components of Multiplicative Time Series Model | Chapter 10 | Recent Studies in Mathematics and Computer Science Vol. 1

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, Also the cube transformation equally used to establish a practical illustration of the general rule. Data from federal road safety commission (FRSC) Nigeria on road accident were collected and analyzed by fitting the regression line of log mean (logmean) against log standard deviation (logstdev). This gave a slope =0.666977 which agrees with the required value of 0.6666 this gives a transformation of 1-0.666977= 0.333023 (1-) which is the cube root transformation. Data were later decomposed into time series components. Recommendations on areas of application of cube root transformation were equally given.

Author (s) Details

A. O. Dike
Department of Mathematics and Statistics, Akanu Ibiam Federal Polytechnic, Unwana, P.M.B.1007, Afikpo, Ebonyi State, Nigeria.

E. L. Otuonye
Department of Statistics, Faculty of Biological and Physical Sciences, Abia State University, P.M.B.2000, Uturu, Nigeria.
D. C. Chikezie
Department of Statistics, Faculty of Biological and Physical Sciences, Abia State University, P.M.B.2000, Uturu, Nigeria.

View Book : – http://bp.bookpi.org/index.php/bpi/catalog/book/153



Other Videos By BP International


2020-07-15Scientific Approach on Radical Uncertainty, Dynamic Competition and a Model of the Business Cycle
2020-07-15Models for Ordering Multiple Products Subject to Multiple Constraints, Quantity and Freight Discount
2020-07-15Does Quality of Financial Statement Affected by Internal Control System and Internal Audit?
2020-07-15Dividend Theory Controversies and Nigerian Firms
2020-07-15Antibacterial Activity of Mulinum spinosum Extracts against Slime-producing Staphylococcus aureus
2020-07-15Brief Overview of Host-Parasite Relationships
2020-07-15Bacteriological Analysis of Drinking Water in Zamfara North Senatorial District, Nigeria
2020-07-15Pathogenicity of Antibiotic Resistant/Sensitive Bacteria Vibrio spp. and Aeromonas spp
2020-07-14Toxicological Bioassay of Petroleum Products (Kerosene) in Tri-aquatic Ecosystem Using Pollution
2020-07-14A Nonstandard Approach to Cauchy’s Functional Equation
2020-07-14Generalized Power Transformation of Error Components of Multiplicative Time Series Model
2020-07-14Oscillation Criteria for Higher Order Nonlinear Functional Difference Equations: Critical Study
2020-07-14On the Donfagsiteli Conditional Function and Some Applications in Pure and Applied Sciences
2020-07-14Approximation of the Modified Error Function by Using Perturbative and Sinc Collocation Methods
2020-07-14Vertical Cooperative Advertising with Substitute Brands: Brief Overview
2020-07-14Study on Human Vaccines for Oncogenic Viruses and Perspectives for Tumor Antigens Induced by Virus
2020-07-14Identifying Time-varying Drivers for Social Media Issues and Conversations
2020-07-14Approximation Formulae for Phase Shifts of s–wave Schrödinger Equation Due to Binomial Potential
2020-07-13On Katugampola Fourier Transform: Critical Overview
2020-07-13Derivatives Involving I-Function of Two Variables and General Class of Polynomials: Brief Overview
2020-07-13Non-uniform Lossless Transmission Lines Terminated by L-Load in Series Connected