Analysis of Differences Across Types of Interior Parts of Computer and Computer Price

Authors

  • Jingcheng Lu
  • Ziwen Sun
  • Xiaole Yu

DOI:

https://doi.org/10.54097/hbem.v15i.9398

Keywords:

Computer price, performance parameter, linear regression.

Abstract

The enhancement of digital computers takes an active part in promoting the development of different aspects of the world. In the meantime, interior parts of computers are also rapidly enhanced and refined. Various combinations of inner parts of a computer would play a decisive factor in the cost so the aim of this article would discuss the relationship between the performance parameters of computers and the prices. This article divides the performance parameters of computers into nine aspects, such as speed, RAM size, etc., With an emphasis on the connection between the price of the computer and its performance parameters. This article employs a multiple linear regression and a logistic regression model to estimate the pricing using computer configuration parameters. The MSE, AIC and other parameters are established to measure the goodness of fit for models. In order to forecast prices for computers with certain performance specifications, an optimal model is finally developed.

Downloads

Download data is not yet available.

References

R. Brian and F. Gary, “A Study of Prices and Market Shares in the Computer Mainframe Industry,” The Journal of Business, University of Chicago Press, vol. 49(2), 1976, pp. 194-218.

T. Alsop, “Share of households with a computer at home worldwide from 2005 to 2019. Retrieved from https://www.statista.com/statistics/748551/worldwide-households- with-computer/.2022.

Globe Newswire, “Mobile Computer Market Worth $3.3 Billion by 2029 - Exclusive Report by Meticulous Research”. Retrieved from https://www.globenewswire.com/newsrelease/2022/07/06/2475220/0/en/Mobile-Computer-Market-Worth-3-3-Billion-by-2029-Exclusive-Report-by-Meticulous-Research.html. 2022.

H.R.J. Grosch, “High Speed Arithmetic: The Digital Computer as a Research Tool,” Journal of the Optical Society of America. 43(4), 1953, pp. 306–310.

E. G. Cale, L. L. Gremillion and J. L. McKenney, “Price/Performance Patterns of U. S. Computer Systems,” Communications of the ACM, vol. 22(4), 1979, pp. 225–233.

J. Frost, Mean Square Error (MSE). Statistics By Jim. Retrieved from https://statisticsbyjim.com/regression/mean-squared-error-mse/.2022.

H. Akaike, “A new look at the statistical model identification,” IEEE Transactions on Automatic Control, 19 (6), 1974, pp. 716-723.

G. James, D. Witten, T. Hastie and R. Tibshirani, An introduction to statistical learning (2nd ed.). 2013, pp. 29-37.

G. Casella, Statistical inference (Second ed.). Pacific Grove, Calif.: Duxbury/Thomson Learning. 2002, pp. 556-557.

E. Kreyszig, Advanced Engineering Mathematics (Fourth ed.). Wiley. 1979, pp. 880-881.

Downloads

Published

28-06-2023

How to Cite

Lu, J., Sun, Z., & Yu, X. (2023). Analysis of Differences Across Types of Interior Parts of Computer and Computer Price. Highlights in Business, Economics and Management, 15, 225-232. https://doi.org/10.54097/hbem.v15i.9398