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La Biblioteca del Banco Central del Uruguay se fundó en 1967, integrándose con una colección de libros proveniente del Banco de la República, que se ha ido incrementando a través de los años, hasta llegar en el momento actual a 7.700 volúmenes aproximadamente, 200 títulos de publicaciones periódicas, bases de datos en CD Rom, publicaciones de organismos nacionales e internacionales y publicaciones producidas por el Banco Central.
La Biblioteca está especializada en Economía, poniendo el énfasis en monetaria, finanzas, estadística, econometría y teoría económica. Además, apoya al Banco Central en sus funciones y está abierta a investigadores externos a la Institución, profesionales y estudiantes de Economía y Finanzas.
Handbook of statistics 2. Classification pattern recognition and reduction of dimensionality
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Contenido :
Discriminant analysis for time series
Optimum rules for classification into two multivariate normal populations with the same covariance matrix
Large sample approximations and asymptotic expansions of classification statistics
Bayesian discrimination
Classification of growth curves
Nonparametric classification
Logistic discrimination
Nearest neighbor methods in discrimination
The classification and mixture maximum likelihood approaches to cluster analysis
Graphical techniques for multivariate data and for clustering
Cluster analysis software
Single-link clustering algorithms
Theory of multidimensional scaling
Multidimensional scaling and its applications
Intrinsic dimensionality extraction
Structural methods in image analysis and recognition
Image models
Image texture survey
Applications of stochastic languages
A unifying viewpoint on pattern recognition
Logical functions in the problems of empirical prediction
Inference and data tables with missing values
Recognition of electrocardiographic patterns
Waveform parsing systems
Continuous speech recognition : statistical methods
Applications of pattern recognition in radar
White blood cell recognition
Pattern recognition techniques for remote sensing applications
Optical character recognition : theory and practice
Computer and statistical considerations for oil spill identification
Pattern recognition in chemistry
Covariance matrix representation and object-predicate symmetry
Multivariate morphometrics
Multivariate analysis with latent variables
Use of distance measures, information measures and error bounds in feature evaluation
Topics in measurement selection
Selection of variables under univariate regression models
On the selection of variables under regression models using Krishnaiah's finite intersection tests
Dimensionality and sample size considerations in pattern recognition practice
Selecting variables in discriminant analysis for improving upon classical procedures
Selection of variables in discriminant analysis
Discriminant analysis for time series
Optimum rules for classification into two multivariate normal populations with the same covariance matrix
Large sample approximations and asymptotic expansions of classification statistics
Bayesian discrimination
Classification of growth curves
Nonparametric classification
Logistic discrimination
Nearest neighbor methods in discrimination
The classification and mixture maximum likelihood approaches to cluster analysis
Graphical techniques for multivariate data and for clustering
Cluster analysis software
Single-link clustering algorithms
Theory of multidimensional scaling
Multidimensional scaling and its applications
Intrinsic dimensionality extraction
Structural methods in image analysis and recognition
Image models
Image texture survey
Applications of stochastic languages
A unifying viewpoint on pattern recognition
Logical functions in the problems of empirical prediction
Inference and data tables with missing values
Recognition of electrocardiographic patterns
Waveform parsing systems
Continuous speech recognition : statistical methods
Applications of pattern recognition in radar
White blood cell recognition
Pattern recognition techniques for remote sensing applications
Optical character recognition : theory and practice
Computer and statistical considerations for oil spill identification
Pattern recognition in chemistry
Covariance matrix representation and object-predicate symmetry
Multivariate morphometrics
Multivariate analysis with latent variables
Use of distance measures, information measures and error bounds in feature evaluation
Topics in measurement selection
Selection of variables under univariate regression models
On the selection of variables under regression models using Krishnaiah's finite intersection tests
Dimensionality and sample size considerations in pattern recognition practice
Selecting variables in discriminant analysis for improving upon classical procedures
Selection of variables in discriminant analysis
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| Código de barras | Signatura | Tipo de medio | Ubicación | Sección | Estado |
|---|---|---|---|---|---|
| 34271 | 519.5 HAN2 | Libro | Biblioteca Especializada | Colección general | Disponible |
