Paper Details
Call For Papers
Volume 06, Issue 01
Frequency: 12 Issue per year
Paper Submission: Throughout the Month
Acceptance Notification: Within 2 days
Areas Covered: Multidisciplinary
Accepted Language: Multiple Languages
Journal Type: Online (e-Journal)
Sample Certificate
Announcement
Publish books with ISBN Number
- Edited Book
- Text Book
- Ph.D Thesis
- Conference Proceedings
ISSN Number:
2582-8568
Journal DOI No:
03.2021-11278686
Title:
WEIGHTED LEAST SQUARE FITTING THROUGH MATRIX FORM USING SCILAB PROGRAMMING
Authors:
Cite this Article:
,
WEIGHTED LEAST SQUARE FITTING THROUGH MATRIX FORM USING SCILAB PROGRAMMING, International Research Journal of Humanities and Interdisciplinary Studies (www.irjhis.com), ISSN : 2582-8568, Volume: 2, Issue: 6, Year: June 2021, Page No : 259-264,
Available at : http://irjhis.com/paper/IRJHIS2106033.pdf
Abstract:
Weighted least square method plays important role for data sets. It is more efficient as compared to others and makes a good use of small data sets. It having the ability to handle the regression situations where the data points of varying quality. The study has been done manually as well as by the Scilab software (computational software). It has been found that programing done by the software gives the same result as done by manually. Both results are same. C(1) = 16.662021 and C(2) = - 53.95678 for weight 115 also C(1) = 17.290078 and C(2) = - 41.897501 for weight 145. The weighted least square method is a frequently used and most popular method of fitting curve for a given data.
Keywords:
Scilab software 5.5.2, Weighted least square.
Publication Details:
Published Paper ID: IRJHIS2106033
Registration ID: 20254
Published In: Volume: 2, Issue: 6, Year: June 2021
Page No: 259-264
ISSN Number: 2582-8568
Download Full Paper: Click Here
Article Preview:
