this study was conducted to determine regression equations for the prediction metabolizable energy value corrected for zero nitrogen retention (amen) in 12 wheat cultivars (mahdavi, chamran, sabalan, sepahan, sivand, alamoot, sholeh, neishaboor, pishtaz, bahar, shiraz and shahpasand) cultured in alborz province of iran. chromic oxide marker bioassay was used to determine wheat cultivars nitroge...

The Bayesian measure of sample information about the parameter, known as Lindley’s measure, is widely used in various problems such as developing prior distributions, models for the likelihood functions and optimal designs. The predictive information is defined similarly and used for model selection and optimal designs, though to a lesser extent. The parameter and predictive information measure...

The goal of ordinal embedding is to represent items as points in a low-dimensional Euclidean space given a set of constraints in the form of distance comparisons like “item i is closer to item j than item k”. Ordinal constraints like this often come from human judgments. To account for errors and variation in judgments, we consider the noisy situation in which the given constraints are independ...

BACKGROUND The current study aimed to evaluate the applicability of the methods of Moyers and of Tanaka and Johnston to estimate the mesiodistal widths of permanent canines and premolars in Syrian individuals, to determine whether the predicting equations differ by sex, and to develop more accurate regression equations using various teeth groups as predictors. METHODS A total of 670 pretreatm...

One of the main applications of microarray technology is to determine the gene expression profiles of diseases and disease treatments. This is typically done by selecting a small number of genes from amongst thousands to tens of thousands, whose expression values are collectively used as classification profiles. This gene selection process is notoriously challenging because microarray data norm...

A fundamental problem in order selection is that one single realization of a stochastic process is used twice, for the estimation of parameters for different model orders and for the selection of the best model order. Parameters are estimated by the minimization of the residual variance; higher model orders with more estimated parameters will always give a smaller residual variance. The purpose...

The objective of present article is to study the behavior of Bayes prediction length of interval under Two Sample Bayes prediction scenario. A repairable system is considered here with assumption that the repair hazard rate increases monotonically as time parameter increases. Based on right item censoring criterion, the Bayes prediction length of interval and Highest Posterior Density (HPD) int...

An e cient method for computing local auto-correlations leads to a new method for local adaptive prediction or prediction error filtering of multi-dimensional images. Using a conjugate-gradient method for least-squares optimization, we compute a di↵erent prediction filter for each sample in an image. These adaptive prediction filters preserve locally coherent signals, while attenuating random