Least squares estimation of a nonlinear exponential model
Date of Publication
1992
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Applied Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
The method of least squares is used to come up with a regression trend equation of a nonlinear exponential model.A software is developed which can do the following:1. Graph the curve of a given set of data2. Graph the log curve of a given set of data3. Compute the regression coefficients of a regression trend equation4. Test the significance of the regression coefficient using T-test5. Estimate the value of a dependent variable Y in terms of a given independent variable X.The software is developed using TURBO PASCAL 5.5 and a Super VGA Monitor. This software should be run on a computer with a colored monitor for an efficient execution.
Abstract Format
html
Language
English
Format
Accession Number
TU05728
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
83 leaves
Keywords
Least squares; Estimation theory; Regression analysis--Computer programs; Functions, Exponential; Nonlinear theories
Recommended Citation
Madrid, A. B., & Ylagan, E. (1992). Least squares estimation of a nonlinear exponential model. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/15976
