Keyword: statistics: multivariate

Found 278 papers in total
Bayesian models for early warning of bank failures
Bayesian models for early warning of bank failures
2001,
The focus of this research is to demonstrate how probabilistic models may be used to...
Overdispersion in modelling accidents on road sections and in Empirical Bayes estimation
Overdispersion in modelling accidents on road sections and in Empirical Bayes estimation
2001,
In multivariate statistical models of road safety one usually finds that the accident...
Data mining with sparse grids
Data mining with sparse grids
2001,
We present a new approach to the classification problem arising in data mining. It is...
Regional disparities in continental Portugal: A multivariate statistical analysis
Regional disparities in continental Portugal: A multivariate statistical analysis
2001,
The aim of this article is to find a coherent socio-economic classification of the...
A comparative study of the effect of the position of outliers in classical and nontraditional approaches to the two-group classification problem
A comparative study of the effect of the position of outliers in classical and nontraditional approaches to the two-group classification problem
2002,
Popularity of nontraditional approaches to the statistical classification problem has...
A procedure for calculating indexes from a multivariate databank
A procedure for calculating indexes from a multivariate databank
2001,
This paper presents a solution to the problem of finding an index number I for ranking...
Manufacturing start-up problem solved by mixed-integer quadratic programming and multivariate statistical modelling
Manufacturing start-up problem solved by mixed-integer quadratic programming and multivariate statistical modelling
2002,
We consider a batch process characterized by multiple, correlated process and product...
Multiobjective regression modifications for collinearity
Multiobjective regression modifications for collinearity
2001,
In this work we develop a new multivariate technique to produce regressions with...
Multidimensional scaling used in multivariate statistical process control
Multidimensional scaling used in multivariate statistical process control
2001,
This paper considers the use of multidimensional scaling techniques in multi-variate...
Multivariate cointegration analysis of the Finnish–Japanese stock markets
Multivariate cointegration analysis of the Finnish–Japanese stock markets
2001,
In this paper evidence on the cointegration between the Finnish and Japanese financial...
Patterns in spatial point locations: Local indicators of spatial association in a minefield with clutter
Patterns in spatial point locations: Local indicators of spatial association in a minefield with clutter
2001,
The problem of detecting a minefield in the presence of clutter can be abstracted to...
The statistical monitoring of a complex manufacturing process
The statistical monitoring of a complex manufacturing process
2001,
This paper describes the development of a multivariate statistical process performance...
Evaluating the effect of gap size in a single function mathematical programming model for the three-group classification problem
Evaluating the effect of gap size in a single function mathematical programming model for the three-group classification problem
2001,
This study examines the impact that the size of the classification gap can have on the...
Genetic clustering algorithms
Genetic clustering algorithms
2001,
This study employs genetic algorithms to solve clustering problems. Three models,...
Assessing multivariate process/product yield via discrete point approximation
Assessing multivariate process/product yield via discrete point approximation
1998,
The assessment of multivariate yield is central to the robust design of...
A model for the statistical design for multivariate control charts with multiple control regions
A model for the statistical design for multivariate control charts with multiple control regions
2000,
This paper develops a statistical model for the design of multivariate control charts...
A multidimensional approach to urban quality of life: The case of Istanbul
A multidimensional approach to urban quality of life: The case of Istanbul
2001,
The purpose of this paper is to model the priorities, expectations and needs of the...
An application of discriminant analysis and artificial neural networks to classification problems
An application of discriminant analysis and artificial neural networks to classification problems
2001,
In this paper we present three algorithms to classify the elements of a population...
Budget decision making at the grass-root's level
Budget decision making at the grass-root's level
2001,
What drives decision processes in public administration? Decisions made in the public...
A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems
A hierarchical clustering methodology based on genetic programming for the solution of simple cell-formation problems
2001,
The problem of identifying machine cells and corresponding part families in cellular...
Using principal component analysis in process performance for multivariate data
Using principal component analysis in process performance for multivariate data
2000,
Quality measures can be used to evaluate a process's performance. Analyzing related...
An application of covariance analysis to capacity expansion at an inter-modal blending plant
An application of covariance analysis to capacity expansion at an inter-modal blending plant
1995,
Analysis of covariance (ANCOVA) integrates analysis of variance (ANOVA) and...
Structuring the set of MPs in Polish Parliament: A simple clustering exercise
Structuring the set of MPs in Polish Parliament: A simple clustering exercise
2000,
The paper presents a simple exercise of application of cluster analysis to the set of...
Segmentation-based competitive analysis with MULTICLUS and topology representing networks
Segmentation-based competitive analysis with MULTICLUS and topology representing networks
2000,
Two neural network approaches, Kohonen's self-organizing (feature) map (SOM) and the...
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