Revealing the failure of agile software projects is a great challenge faced by companies. This paper focuses on using intelligent techniques such as fuzzy logic, multiple linear regressions, support vector machine, neural network to address this challenge. also presents review some works related area interest. In paper, researchers propose an approach for revealing based two techniques: logic a...

PURPOSE The purpose of this article was to present methods capable of estimating the size and shape of the human eye lens without resorting to phakometry or magnetic resonance imaging (MRI). METHODS Previously published biometry and phakometry data of 66 emmetropic eyes of 66 subjects (age range [18, 63] years, spherical equivalent range [-0.75, +0.75] D) were used to define multiple linear r...

in this work quantitative structure activity relationship (qsar) methodology was applied for modeling and prediction of cellular response to polymers that have been designed for tissue engineering. after calculation and screening of molecular descriptors, linear and nonlinear models were developed by using multiple linear regressions (mlr) and artificial neural network (ann) methods. the root m...

Model trees are an extension of regression trees that associate leaves with multiple regression models. In this paper a method for the top-down induction of model trees is presented, namely the Stepwise Model Tree Induction (SMOTI) method. Its main characteristic is the induction of trees with two types of nodes: regression nodes, which perform only straight-line regression, and split nodes, wh...

this study was conducted to determine the location of dna segment with homology to the rat conserved genomic dna in human chromosomes. the labeled rat genomic dna was hybridized with normal human (male) metaphases. the study of 74 metaphases after fluorescence in situ hybridization showed 371 twin-spot signals on human chromosomes. statistical analysis indicated that the specific accumulation o...

ruminal bacteria and protozoa provide excellent organic phosphorus (p) sources for the host animal. this experiment was conducted to compare the bioavailability of bacterial and protozoal p in comparison with that of dicalcium phosphate (dcp) as a reference phosphorus source. bacteria and protozoa were isolated from the rumen contents of dairy cows and the chick-model was used to determine the ...

In this paper we examine whether nonlinearities in the aggregate production function can explain parameter heterogeneity in the Solow (1956) growth regressions. Nonlinearities in the production technology are introduced by replacing the linear Cobb-Douglas specification with the more general CES specification. We justify our choice of production function by showing that in the context of cross-...

An application of rigorous statistical analysis in aiding investment decision making gains momentum in the United States of America as well as the United Kingdom. Nonetheless in Malaysia the responses from the local academician are rather slow and the rate is even slower as far as the practitioners are concern. This paper illustrates how Multiple Regression Analysis (MRA) and its extension, Hed...

This paper introduces a forecasting procedure based on multivariate dynamic kernels to re-examine –under a non linear framework– the experimental tests reported by Welch and Goyal showing that several variables proposed in the academic literature are of no use to predict the equity premium under linear regressions. For this approach kernel functions for time series are used with multiple kernel...

Logistic regression is a popular statistical method in studying the effects of covariates on binary outcomes. It has been widely used in both clinical trials and observational studies. However, the results from the univariate regression and from the multiple logistic regression tend to be conflicting. A covariate may show very strong effect on the outcome in the multiple regression but not in t...