A new adaptive switching algorithm is presented where two adaptive filters are switched correspondingly for lower and higher noise ratio of the image. An adaptive center weighted vector median filter is used for the lower noise ratio whereas for higher noise ratio the noisy pixels are detected based on the comparison of the difference between the mean of the vector pixels in the window and the ...

We examine a generalized F-test of a nonparametric function through penalized splines and a linear mixed effects model representation. With a mixed effects model representation of penalized splines, we imbed the test of an unspecified function into a test of some fixed effects and a variance component in a linear mixed effects model with nuisance variance components under the null. The procedur...

Extending the useful life of IDDQ test to deep submicron technologies has been a topic of interest in recent years. IDDQ test loses its effectiveness as the signal to noise ratio degrades due to rising background current and fault-free IDDQ variance. Defect detection using IDDQ test requires separation of deterministic sources of variation from defective current. Several methods that use determ...

The union-intersection principle yields a class of multiple comparison tests that include the classical Scheffé tests for analysis of variance, and are easily applied to any likelihood ratio test. Examples are given.

Decision tree grafting adds nodes to an existing decision tree with the objective of reducing prediction error. A new grafting algorithm is presented that considers one set of training data only for each leaf of the initial decision tree, the set of cases that fail at most one test on the path to the leaf. This new technique is demonstrated to retain the error reduction power of the original gr...

Unit-root and variance-ratio tests are used to examine the trend properties and degree of persistence of industrial production in U.S. industries and comparable aggregates during the post World War I1 period. The evidence from unit-root tests suggests that less than one-half of these industries have output which may be characterized as a random walk. The variance-ratio test results generally su...

Model credibility index is defined to be a sample size under which the power of rejection equals 0.5. It applies goodness-of-fit testing thinking and uses a one-number summary statistic as an assessment tool in a false model world. The estimation of the model credibility index involves a bootstrap resampling technique. To assess the consistency of the estimator of model credibility index, we in...

Recent research has revealed loci that display variance heterogeneity through various means such as biological disruption, linkage disequilibrium (LD), gene-by-gene (G × G), or gene-by-environment interaction. We propose a versatile likelihood ratio test that allows joint testing for mean and variance heterogeneity (LRT(MV)) or either effect alone (LRT(M) or LRT(V)) in the presence of covariate...

Identifying genetic variants that regulate quantitative traits, or QTLs, is the primary focus of the field of statistical genetics. Most current methods are limited to identifying mean effects, or associations between genotype and the mean value of a quantitative trait. It is possible, however, that a genetic variant may affect the variance of the quantitative trait in lieu of, or in addition t...

This article introduces (and hopes to encourage thereby) the econometrics practitioner to (use) a homoscedasticity test referred to in the field of statistics as the modified Levene test. Econometrics orthodoxy (from University to practice level) has focused mainly on three heteroscedasticity tests, namely the Goldfeld-Quandt (GQ), Breusch-Pagan-Godfrey (BPG), and the White (W) test. The differ...