Qualitative and quantitative techniques of model verification
Date of Publication
1983
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Applied Mathematics
College
College of Science
Department/Unit
Mathematics and Statistics
Abstract/Summary
This paper presents some of the qualitative and quantitative techniques used in assessing the fit of the data with the assumed model for the underlying distribution. These two techniques differ in their approach of model verification. The qualitative methods involve a subjective approach in the analysis of the appropriateness of the model to the data, while the quantitative methods involve a more objective approach to the problem. The qualitative methods presented are histogram, sample cumulative distribution function and use of probability paper, while the quantitative methods used are the chi-square goodness-of-fit test and the Kolmogorov-Sonirnov goodness-of-fit test. This study is limited only to one-dimensional distribution.
Abstract Format
html
Language
English
Format
Accession Number
TU03101
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
95 leaves
Keywords
Chemistry, analysis--qualitative; Chemistry, analytic--quantitative
Recommended Citation
Decana, M. B., & Ongtenco, H. C. (1983). Qualitative and quantitative techniques of model verification. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/15125