Search
Code Directory
 ASP
 ASP.NET
 C/C++
 CFML
 CGI/PERL
 Delphi
 Development
 Flash
 HTML
 Java
 JavaScript
 Pascal
 PHP
 Python
 SQL
 Tools
 Visual Basic & VB.NET
 XML
New Code
Rapid PHP 2018 15.5
IBDAC 6.4
Online Course Booking Script 1.3.3
Database Workbench Pro 5.6.4
Job Portal Script 1.3.2
The C# PDF Library 5.2
PostgreSQL Data Access Components 6.0
Virtual Data Access Components 11.0
HTMLPad 2018 15.5
WeBuilder 2018 15.5
SentiMask SDK Trial 2.0.0
Track Order For Magento 2 1.0.0
Calendar 365 For Dynamics CRM 4.0
Scimbo 1.2
Odoo Furnito Theme 1.0
Top Code
Hotel Management System Restaurant Version 5.25
Azizi search engine script PHP 4.1.10
Travel Booking script 1.0.4
Chessgra 1.1
Keno Game 1.I
VChess 6.x-1.x-dev
Killer Guestbook Script 1.1
RLS Algorithm Demo 1.0
PHP MLM Software 2.0.1
College Management System Script 1.0.4
Spider(rader) Chart for Multi Data 1.0
Simple Radar_system_simulation 1.0
The Spherical K-means algorithm 1.0
Discrete Frechet Distance 1.0
AJ Matrix v2.6
Top Rated
VisualNEO Web 2018.12.15
Azizi search engine script PHP 4.1.10
Paste phpSoftPro 1.4.1
Extreme Injector 3.7
Deals and Discounts Website Script 1.0.2
ADO.NET Provider for ExactTarget 1.0
Solid File System OS edition 5.1
Classified Ad Lister 1.0
Aglowsoft SQL Query Tools 8.2
Invoice Manager by PHPJabbers 3.0
ICPennyBid Penny Auction Script 4.0
PHP Review Script 1.0
ATN Resume Finder 2.0
ATN Site Builder 3.0
Availability Booking Calendar PHP 1.0
outaovii 1.0
File ID: 83050






outaovii 1.0
Download outaovii 1.0http://www.mathworks.comReport Error Link
License: Shareware
File Size: 10.0 KB
Downloads: 2
Submit Rating:
outaovii 1.0 Description
Description: In a one-way analysis of variance random effects model one would expect that the measurements lie close together because the same quantity was measured and states that the class effects stem from a common source and therefore should not difer too much. In the random model some variation is allowed and the decision is assisted by the assumption of the distribution of the random class effects. But one can observe some type of 'outliers', that according to Barnett and Lewis (1994), it is an observation or subset of observations which appears to be inconsistent with the remainder of that set of data. In random effects model can be distinguished three types of outliers:
1. Within the classes
2. Within the random effects
3. Respect to scale (objects occupy the same relative positions in one measurement space as they do in the other).

If the model is satisfied, these outliers are not likely to occur because of the light tails of the normal distribution and homoscedasticity, and it is considered to describe the ideal situation without outliers. Therefore, it is important to set up formal rules that identify these outliers. Wellmann and Gather (2003) provide rules and details of a robust procedure which involves the median-based estimators.

Here, we developed a MATLAB function that deals with such a fundamentals.

**NOTE: For an unbalanced design we are still working on in order to implement the procedure to detect the class scale-outliers. Please, keep on date of the file updatings.**

Inputs:
X - data matrix (column 1= data;column 2=class code).
alpha - significance (default = 0.05).

Outputs:
A complete summary of the identification of outliers:
- within the i-th class.
- within the random effects.
- as a scale-outlier class.

License: Shareware

Related: gather, provide, wellmann, identify, Rules, Details, Robust, estimators, developed, medianbased

O/S:BSD, Linux, Solaris, Mac OS X

File Size: 10.0 KB

Downloads: 2



User Review for outaovii
- required fields
     

Please enter text on the image