NDLI: Statistical Inference of Rough Set Dependence and Importance Analysis

Content Provider	IEEE Xplore Digital Library
Author	Dan Hu Xianchuan Yu
Copyright Year	1993
Abstract	Statistical inference about dependence degree (DD) and importance degree (ID) of variables in an information system is crucial for variables appraisement and model reconstruction. However, in rough set data analysis (RSDA), the literature is restricted to validate independence or test whether the degree is significantly big, while the fixed value test and interval estimation for related measurements have been ignored. Because these important issues have not been addressed, we cannot determine whether the data support expert opinions and compare the features in depth. To enhance the integrity of statistical inference for DD and ID in an RSDA, fixed value tests and interval estimations of DD and ID are presented in this paper. With multinomial distribution as the carrier for statistical information in the databases, the fixed value test of DD is successfully transformed into a restricted estimation of multinomial distribution and a goodness-of-fit test for distributions. The fixed value test and interval estimation algorithms for DD and ID are then presented in detail and illustrated with examples. Explicit expressions for the DD and ID interval estimation, DD confidence curves, and the limit theory for DD and ID are shown. Furthermore, the effectiveness and discrimination of the proposed algorithms are validated using the Car evaluation, Tic-Tac-Toe endgame, and Fisher's Iris databases.
Sponsorship	IEEE Computational Intelligence Society
Starting Page	1070
Ending Page	1079
Page Count	10
File Size	2129699
File Format	PDF
ISSN	10636706
Volume Number	21
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sociology Equations Maximum likelihood estimation Databases Testing statistical hypothesis testing Dependence degree fixed value test importance degree interval estimation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Control and Systems Engineering Computational Theory and Mathematics

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

k-Sample Maximum Likelihood Ratio Test for Change of Weibull Shape Parameter

Bayesian Estimation of Beta Mixture Models with Variational Inference

Maximum Likelihood Estimation of Depth Maps Using Photometric Stereo

Folded Equations for a Weibull Maximum Likelihood Ratio Test

An Interval Type-2 Fuzzy Rough Set Model for Attribute Reduction

Automated inspection of textile fabrics using textural models

A Maximum Likelihood Approach to Continuous Speech Recognition

Nested pseudo-likelihood estimation and bootstrap-based inference for structural discrete Markov decision models

A Maximum Likelihood Approach to Texture Classification

Statistical Inference of Rough Set Dependence and Importance Analysis

Similar Documents

k-Sample Maximum Likelihood Ratio Test for Change of Weibull Shape Parameter

Bayesian Estimation of Beta Mixture Models with Variational Inference

Maximum Likelihood Estimation of Depth Maps Using Photometric Stereo

Folded Equations for a Weibull Maximum Likelihood Ratio Test

An Interval Type-2 Fuzzy Rough Set Model for Attribute Reduction

Automated inspection of textile fabrics using textural models

A Maximum Likelihood Approach to Continuous Speech Recognition

Nested pseudo-likelihood estimation and bootstrap-based inference for structural discrete Markov decision models

A Maximum Likelihood Approach to Texture Classification

Statistical Inference of Rough Set Dependence and Importance Analysis