Sequentially testing polynomial model hypotheses using power transforms of regressors

SEQUENTIALLY TESTING POLYNOMIAL MODEL HYPOTHESES USING POWER TRANSFORMS OF REGRESSORS By

We provide a methodology for testing a polynomial model hypothesis by extending the approach and results of Baek, Cho, and Phillips (2015; BCP) that tests for neglected nonlinearity using power transforms of regressors against arbitrary nonlinearity. We examine and generalize the BCP quasi-likelihood ratio test dealing with the multifold identification problem that arises under the null of the ...

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.

Adaptive image restoration using discrete polynomial transforms

| This paper presents a restoration algorithm based on a local signal description using discrete polyno-mials. The algorithm is made adaptive by estimating the local signal-to-noise ratio and by computing the corresponding deblurring lter. Furthermore, this method is developed for discrete signals, the input and output images being almost always available as discrete signals.

Of Sequentially Testing Composite Hypotheses with Special Reference to the Two - Sample Problem

the use of appropriate madm model for ranking the vendors of mci equipments using fuzzy approach

abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...