One of the most important statistical tools is linear regression analysis for many fields such as medical sciences, social sciences, econometrics and more. Regression techniques are commonly used for modelling the relationship between response variables and explanatory variables. In this study, inside bark tree diameter was used as the dependent variable and outside bark diameter and site type ...

Identifying nominals with no head match is a long-standing challenge in coreference resolution with current systems performing significantly worse than humans. In this paper we present a new neural network architecture which outperforms the current state-of-the-art system on the English portion of the CoNLL 2012 Shared Task. This is done by using a logistic regression on features produced by tw...

The current paper presents a robust optimum design of friction stir welding (FSW) lap joint AA1100 aluminum alloy sheets using Monte Carlo simulation, NSGA-II and neural network. First, to find the relation between the inputs and outputs a perceptron neural network model was obtained. In this way, results of thirty friction stir welding tests are used for training and testing the neural network...

The purpose of this paper is to suggest a method of analyzing data from clinical mastitis trials when the response of interest is binary (success/failure) in nature, and the type of experimental design adheres to an incomplete block form. This approach is referred to as an "Empirical Bayes" strategy in statistical literature and incorporates over-dispersion commonly associated with binomial tri...

This paper develops and tests a descriptive model of management accounting system choice through an empirical analysis of the adoption of innovative cost accounting systems in not-for-profit hospitals. The logistic regression analysis indicates that management accounting system design is impacted by organi zational objectives, technological complexity, and other Copyright © 1994 by PrAcademics ...