| Author | Sheng, Zhang Xin |
| Call Number | AIT Thesis no. CS-88-1 |
| Subject(s) | Distribution (Probability theory)
|
| Note | A thesis submitted in partial fulfillment of the requirement for
the degree of Master of Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Abstract | Existing statistical software, although quite powerful and
computation a l easy to u se, requires considerable statistical
knowledge to be used effectively. The user must have adequate
knowledge in statistics and u se some rules and experiences to
determine t hat the statistical result is good or not . It
brings user much inconvenience, especially to those users who know
nothing about statistics.
In this study , an consultation system for fitting
distributions to sample data (CSFFD ) is designed to help someone
with or without statistical background and an expert to select
a best fi t ted distribution on a particular set of data among a
group of accepted distributions. The CSFFD which we built encodes
enough knowledge a nd individual experiences to do fitting
distributions effectively. It can also be used as a tool for
general purpose in statistics, such as parameter estimation, PDF
and CDF computation , sample statistical computation , histogram , PDF and CDF graph drawing, a nd goodness of fit test and so on.
Several typical sets of data were selected to test the
workability of CSFFD . The result showed that al l the modules
which are used in CSFFD are correct and satisfactory. The
strategy which was used for logical reasoning and knowledge
representation makes the whole consultation system execute
with optima l speed. |
| Year | 1988 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Huynh Ngoc Phien |
| Examination Committee(s) | Sadananda, Ramakoti ;Kanchana Kanchanasut
|
| Scholarship Donor(s) | DAAD, The Federal Republic of Germany |
| Degree | Thesis (M.Sc.) - Asian Institute of Technology, 1988 |