the acute ecotoxicity of a set of mixture samples (washing powders, wastes, fuel extracts etc.) was assessed using four acute ecotoxicity assays with aquatic organisms (daphnia magna, poecilia reticulata, artemia salina and desmodesmus subspicatus). the experimental concentration-response curves were fitted by seven two-parameter sigmoid equations using non-linear regression. the regression per...

Two conceptually similar algorithms for performing sparse linear regression under a Bayesian framework are presented. A novel implementation of a third algorithm is adapted from the log-linear regression task and applied to the linear regression model. The algorithms differ in terms of the search strategy used to explore the space of possible active variables; one uses a greedy approach, while ...

new statistic based models provide a wide area of prediction equipments for different science areas. among these fields biology have just entered the contest of interdisciplinary sciences. drug discovery is a long and expensive process which could be decreased with theoretical approaches. in this study, 500 reported assayed anti cancer molecules were extracted from science direct articles, sket...

It is standardpractice to use log-linear and log-log regression models in the analysis of workers compensation claim costs. While useful for the investigation of-proportional cost relationships, those transformed models are not well suited for predicting individual or even average claim costs. There is, however, enormous potential for using regression equations as a computational device for gen...

The quantitative structure property relationship (QSPR) for supercooled liquid vapour pressures (pL) of polybrominated diphenyl ethers (PBDEs) was investigated. The molecular distance–edge vector (MDEV) index was used as the structural descriptor. The quantitative relationship between the MDEV index and log pL was modelled by multivariate linear regression (MLR) and an artificial neural network...

The purpose of this paper is to analyze the effect of computer usage on the demand for paper and paperboard products. A log-linear model is developed to analyze the effect of computer usage on the demand for four categories of paper, newsprint, printing/writing paper, packaging paper and household/sanitary paper. The analysis is divided into two parts. The first part is US monthly analysis. We ...

How to identify true transcription factor binding sites on the basis of sequence motif information (e.g., motif pattern, location, combination, etc.) is an important question in bioinformatics. We present "PeakRegressor," a system that identifies binding motifs by combining DNA-sequence data and ChIP-Seq data. PeakRegressor uses L1-norm log linear regression in order to predict peak values from...

In a multiple linear regression model, there are instances where one has to update the regression parameters. In such models as new data become available, by adding one row to the design matrix, the least-squares estimates for the parameters must be updated to reflect the impact of the new data. We will modify two existing methods of calculating regression coefficients in multiple linear regres...

Categorical data frequently arise in applications in the social sciences. In such applications,the class of log-linear models, based on either a Poisson or (product) multinomial response distribution, is a flexible model class for inference and prediction. In this paper we consider the Bayesian analysis of both Poisson and multinomial log-linear models. It is often convenient to model multinomi...