Incomplete homogeneous multiresponse models: testing of hypotheses

Testing Hypotheses in Universal Models

A linear regression model, when a design matrix has not full column rank and a covariance matrix is singular, is considered. The problem of testing hypotheses on mean value parameters is studied. Conditions when a hypothesis can be tested or when need not be tested are given. Explicit forms of test statistics based on residual sums of squares are presented.

Testing fuzzy hypotheses with vague data

The problem of testing fuzzy hypotheses in the presence of vague data is considered. A new method based on the necessity index of strict dominance (NSD) is suggested. An example hoe to apply the proposed test in statistical quality control is shown.

Models for Quantitative Testing of Edge Hypotheses

Some thoughts on the calculation of quantitative probabilities of edge detection, for investigation during the 3D object recognition and localisation project. See also Tina memo 2006-007.

Ontological Analysis of Integrated Process Models: testing hypotheses

Integrated process modeling is achieving prominence in helping to document and manage business administration and IT processes in organizations. The ARIS framework is a popular example for a framework of integrated process modeling not least because it underlies the 800 or more reference models embedded in the world's most popular ERP package, SAP R/3. This paper demonstrates the usefulness of ...

Statistical Testing of Hypotheses