b a c k g r o u n d  & aim: it is very helpful to classify and predict the clinical  category  of a sample based  on  its  gene  expression  profile.  this  study  was  conducted  to predict  tissues  of colorectal adenoma,  adenocarcinoma,  and  paired  normal  in  colon  based  on  microarray  data  using  nearest shrunken centroid method. methods   &  materials:    in  this  study,   the  co...

A speech enhancement system which utilizes an optimal (in the minimum mean square error sense) short-time spectral amplitude estimetor is described. The derivation of the optimal estimator is based on modeling speech es a quasi-periodic signal, and on applying spectral decomposition. The optimal spectral amplitude estimator and a recently developed vector spectral subtraction amplitude estimato...

In this paper, we study optimal model averaging estimators of regression coefficients in a multinomial logit model, which is commonly used many scientific fields. A Kullback–Leibler (KL) loss-based weight choice criterion developed to determine weights. Under some regularity conditions, prove that the resulting are asymptotically optimal. When true one candidate models, averaged consistent. Sim...

A new optimal estimator of population proportion of potentially sensitive attributes in survey sampling is proposed and investigated. The proposed estimator makes use of known average values and known common variance of two scrambling variables at the data collection and estimation stages; more cooperation is expected from the respondents than in the Franklin (1989) model. The variance of the p...