Analyse factorielle des correspondances de tableaux multiples
Analyse factorielle des dépendances partielles
Analyse géométrique des données : une enquête sur le racisme
Dans cet article, nous présentons une démarche d'analyse statistique d'un questionnaire appliquée à une enquête sur le racisme. La méthodologie suivie est celle de l'ana lyse des données structurées, inspirée des comparaisons spécifiques en analyse de variance, et appliquée à des données géométriques (nuage euclidien). La mise en œuvre est réalisée grâce au langage d'interrogation de données (LID) implanté dans le logiciel EyeLID.
Analyse morphologique de courbes et application à un problème médical
Analyse non symétrique de données par l'implication statistique
Analyse spectrale et théorème de prédiction statistique de Wiener
Analyses de régression et programmation linéaire
Analysing time series for forecasting (a personal view)
Analysis of a measurement information
Analysis of a two-unit standby redundant system with three states of units
A cold-standby redundant system with two identical units and one repair facility is considered. Units can be in three states> good (I), degraded (II), and failed (III). We suppose that only the following state-transitions of a unit are possible: . The repair of a unit of the type can be interpreted as a preventive maintenance. Its realization depends on the states of both units. Several characteristics of the system (probabilities, distribution functions or their Laplace-Stieltjes transforms...
Analysis of an on-off intermittency system with adjustable state levels
We consider a chaotic system with a double-scroll attractor proposed by Elwakil, composing with a second-order system, which has low-dimensional multiple invariant subspaces and multi-level on-off intermittency. This type of composite system always includes a skew-product structure and some invariant subspaces, which are associated with different levels of laminar phase. In order for the level of laminar phase be adjustable, we adopt a nonlinear function with saturation characteristic to tune the...
Analysis of correlation based dimension reduction methods
Dimension reduction is an important topic in data mining and machine learning. Especially dimension reduction combined with feature fusion is an effective preprocessing step when the data are described by multiple feature sets. Canonical Correlation Analysis (CCA) and Discriminative Canonical Correlation Analysis (DCCA) are feature fusion methods based on correlation. However, they are different in that DCCA is a supervised method utilizing class label information, while CCA is an unsupervised method....
Analysis of FM demodulator output noise with applications to FM telemetry.
Analysis of generalized residuals in hazard regression models
Analysis of PBIB Designs Using Association Matrices.
Analysis of Simulation Model Aplication to Forecast the Railway Workers Failures
Analysis of singly ordered two-way contingency tables.
Analysis of survey data investigating the malarial endemicity of a mixed tribal population of Bihar, India.
A section of the mixed tribal population of the Singhbhum district, Bihar, India, is declared malaria epidemic zone. The tribal population of several generations is known to be suffering from malaria. A survey based on cross-sectional data analysis, was conducted on the mixed tribal population for one month. The purpose of this study was to investigate the health status using collected blood samples. The main focus is on the comparative roles of the defense mechanism and vitality factor of the human...
Analysis of variance as regression model with a reparametrization restriction
Let us consider the linear model covering the one-way classification as a special casse. In the paper the relationship between testing of some linear hypothesis and estimating of parameters in the linear model by common software packages is examined.
Analysis on the individual efficiency prediction in the composed error frontier model. A Monte Carlo study.
This study seeks to analyse some important questions related to the Stochastic Frontier Model, such as the method proposed by Jondrow et al (1982) to separate the error term into its two components, and the measure of efficiency given by Timmer (1971). To this purpose, a Monte Carlo experiment has been carried out using the Half-Normal and Normal-Exponential specifications throughout the rank of the γ parameter. The estimation errors have been eliminated, so that the intrinsic variability of the...