Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Goodness-of-fit tests and outlier detection
Download
143650.pdf
Date
2003
Author
Sürücü, Barış
Metadata
Show full item record
Item Usage Stats
69
views
0
downloads
Cite This
Subject Keywords
Goodness-of-fit tests
,
Statistical hypothesis testing
,
Distribution (Probability theory)
URI
https://hdl.handle.net/11511/13013
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
Goodness-of-fit tests for multivariate distributions
Sürücü, Barış (Informa UK Limited, 2006-01-01)
We propose three new statistics, Z(p), C-p, and R-p for testing a p-variate (p >= 2) normal distribution and compare them with the prominent test statistics. We show that C-p is overall most powerful and is effective against skew, long-tailed as well as short-tailed symmetric alternatives. We show that Z(p) and R-p are most powerful against skew and long-tailed alternatives, respectively. The Z(p) and R-p statistics can also be used for testing an assumed p-variate nonnormal distribution.
Score test for testing etiologic heterogeneity in two-stage polytomous logistic regression
Karagülle, Saygın; Kalaylıoğlu Akyıldız, Zeynep Işıl; Department of Statistics (2013)
Two-stage polytomous logistic regression was proposed by Chatterjee (2004) as an effective tool to analyze epidemiological data when disease subtype information is available. In this modeling approach, a classic logistic regression is employed in the first level of the model. In the second level, the first-stage regression parameters are modeled as a function of some contrast parameters in a somehow similar spirit of an ANOVA model. This modeling also enables a practical way of estimating the heterogeneity ...
Estimation techniques for a class of non-regular distributions: the weibull case
Zenbil, El-Bashir A; Yıldırım, Fetih; Department of Statistics (1991)
Structural Identification Analytical Aspects
Aktan, Emin; Necati, Çatbaş; Türer, Ahmet; Zongfen, Zhang (1998-07-01)
Analytical aspects of structural identification are discussed considering different types of models, different model calibration spaces, and different types and amounts of experimental information. Three-dimensional finite element models and 2D grid models of an operating highway bridge are developed. The models were calibrated by taking advantage of an extensive database of experimental information accumulated from the bridge. Different types of models of varying sizes permit comparison of automated optimi...
Testing Practices and Attitudes Toward Tests and Testing: An International Survey
Evers, Arne; et. al. (2017-01-01)
On behalf of the International Test Commission and the European Federation of Psychologists' Associations a world-wide survey on the opinions of professional psychologists on testing practices was carried out. The main objective of this study was to collect data for a better understanding of the state of psychological testing worldwide. These data could guide the actions and measures taken by ITC, EFPA, and other stakeholders. A questionnaire was administered to 20,467 professional psychologists from 29 cou...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
B. Sürücü, “Goodness-of-fit tests and outlier detection,” Ph.D. - Doctoral Program, Middle East Technical University, 2003.