Volume 11 - 2016
Volume 10 - 2015
Volume 9 - 2014
Volume 8 - 2013
Volume 7 - 2012
Volume 6 - 2011
Volume 5 - 2010
Volume 4 - 2009
Volume 3 - 2008
Volume 2 - 2007
Volume 1 - 2006
Volume 2, Issue 2 - June 30, 2007
JAQM Volume 2, Issue 2 - June 30, 2007
Statistical Research by Surveys; case studies; constraints and particularities.
In this paper, the hierarchical ways for building a regression model by using bootstrap and jackknife resampling methods were presented. Bootstrap approaches based on the observations and errors resampling, and jackknife approaches based on the delete-one and delete-d observations were considered. And also we consider estimating bootstrap and jackknife bias, standard errors and confidence intervals of the regression coefficients, and comparing with the concerning estimates of ordinary least squares. Obtaining of the estimates was presented with an illustrative real numerical example. The jackknife bias, the standard errors and confidence intervals of regression coefficients are substantially larger than the bootstrap and estimated asymptotic OLS standard errors. The jackknife percentile intervals also are larger than to the bootstrap percentile intervals of the regression coefficients.
The perception of the Romanian Public Service Officer came out rather negative according to the most recent public opinion barometers. Our paper sets out to investigate using –inquiry technique- how it feels to be on the other side of the counter, and to what extent the multifaceted professional life of the Romanian Public Service Officer is influenced by various determinants like: work related conditions, education and training, citizens behaviour when facing administration staff, general social environment, specific laws and regulations, politics, aspects of personal life etc. in order to better satisfy their ultimate goal, namely to best serve the citizens.
The transition period in Romania has generated a series of important changes, including the reforming of the Romanian tertiary education. This process has been accelerated after the signing of the Bologna treaty. Important changes were recorded in many of the quantitative aspects (such as number of student enrolled, pupil-student ration etc) as well qualitative aspects. The article aims to identify and analyze the main aspects related to the academic fraud in tertiary education, within Bucharest University Center, by using a statistic-survey-based assessment performed in November 2005. The research components rely on the students’ and professors’ academic behavior analysis, in close accordance with education performance factors.
This paper tackles the problem of maximum likelihood estimation  under various types of constraints ( equalities and inequalities restrictions) on parameters. The initial model, which is in fact a maximization problem (here are a few methods available in literature for estimating the parameters: ERM (expectation-restricted-maximization) algorithms, GP (gradient projection) algorithms and so on) is change into a new problem, a minimization problem. This second form is suited to a variant of Frank-Wolfe method for solving linearly restricted nonlinear programming problems . In this way, some difficulties from the previous approaches are removed.
This paper presents a new methodology using graph theory and matrix algebra to analyze software architecture based on systems engineering approach. It proposes a set of analytical tool to capture the notion of structural model as the basis to analyze characteristics of software architecture. In the present work, architecture (structure) modeling and analysis of intelligent mobile learning environment (iMLE) are presented that describe characteristics of performance, quality and reliability.
Decisions about supplied goods depend of used technologies, of possibilities to acquire necessary factors, of quality of products, of demand level etc. Usually, firms cannot get a 100% level of qualitative goods, dividing them in some groups or categories. We research three generalizations of the classical model, where expected profit depends of quantity of good of first quality, of prices for each category, of demand level. We propose to solve described models using method of projection of generalized gradient. There are present some experimental results for different demand behavior.
Successfully project planning, coordinating and controlling in order to deal effectively with projects sponsors, customers, unexpected risks and changing scope are difficult tasks even for the most experienced project managers. The tight deadlines, volatile requirements and emerging technologies are the main reasons for this lake of performance. This agile project environment requires an agile project manage¬ment. Different approaches to project planning and scheduling have been developed. The Operational Research (OR) approach provides two major planning techniques: CPM and PERT. Artificial Intelligence (AI) initially promoted the automatic planner concept. In order to plan a project, the automatic application of predefined operators is required. However, most domains are not so easily formalized in the form of predefined planning operators. The new AI approaches promote model-based planning and scheduling that are more appropriate for the agile project management. The paper focus is on the agent-based approach to project planning and scheduling, especially in Resource Leveling issues. The authors have developed and implemented the ResourceLeveler system, an agent-based model for leveling project resources. The objective of Resource Leveler is to find a scheduling of resources similar to the optimal theoretical solution which takes into consideration all constraints stemming from the relationships between projects, activity calendars, resource calendars, resource allotment to the activities and resource availability. ResourceLeveler was developed in C# as a plug-in for Microsoft Project. Future work will focus on the development of agile software agents for resources leveling.
Book Review on