Statistics

Aplicación de la Encuesta de Estructura Salarial en un grupo de alto rendimiento en Enseñanza Secundaria

Statistics / Higher Education / Learning And Teaching In Higher Education / Official Statistics

Teide: Una nueva herramienta semi-automática para depurar encuestas

Statistics / Software

Improving Efficiency by Shrinkage

Statistics

2010: Principales estadísticas sociodemográficas de Internet y Facebook. ComHumanitas: Revista Científica de Comunicación, vol. 2 (1), pp. 97-104.

Statistics / Facebook / Estadísticas / Internet / Internet consumption / Consumo de Internet

Zero entries in contingency tables

Econometrics / Statistics / Computational Statistics and Data Analysis

Discussion: Theoretical Comparison of Bootstrap Confidence Intervals

Econometrics / Statistics / Confidence Interval

Hyperdeterminantal point processes

Statistics / Symmetric group / Spanning Tree / Multi Dimensional

Inferencia estadística usando SAS

Statistics / Inference / Estadistica descriptiva e inferencial / Estadística Para Administración Y Economía

Pearson residual and efficiency of parameter estimates in generalized linear model

Statistics / Data Analysis / Clinical Trial / Biometrics / Parameter estimation / Multivariate Analysis / Variance / Correlation / Fisher information / Sample Survey / Medical Science / Sample Size / Heteroscedasticity / Exponential family / Hierarchical Generalized Linear Model / IRT-likelihood Ratio / General Linear Model / Exponential distribution / Covariance analysis / Linear Regression / Variance Analysis / Covariance / Statistical Regression / Variance Estimation / Covariance Estimation / Multivariate Analysis / Variance / Correlation / Fisher information / Sample Survey / Medical Science / Sample Size / Heteroscedasticity / Exponential family / Hierarchical Generalized Linear Model / IRT-likelihood Ratio / General Linear Model / Exponential distribution / Covariance analysis / Linear Regression / Variance Analysis / Covariance / Statistical Regression / Variance Estimation / Covariance Estimation

Bayesian Classification and Non-Bayesian Label Estimation via EM Algorithm to Identify Differentially Expressed Genes: a Comparative Study

Algorithms / Statistics / Biometrics / Biometry / Comparative Study / Multivariate Analysis / Discriminant Analysis / Humans / Probability Distribution & Applications / Microarray / Life Science / EM algorithm / Conditional probability / Mixture models / Bayesian hierarchical model / Statistical Test / Bayes Theorem / Gamma Distribution / Gene expression profiling / Down-Regulation / Multivariate Analysis / Discriminant Analysis / Humans / Probability Distribution & Applications / Microarray / Life Science / EM algorithm / Conditional probability / Mixture models / Bayesian hierarchical model / Statistical Test / Bayes Theorem / Gamma Distribution / Gene expression profiling / Down-Regulation

Multivariate GARCH estimation via a Bregman-proximal trust-region method

Econometrics / Statistics / Computational Finance / Computational Statistics and Data Analysis / Time Series Model / Covariance Matrices / Curse of Dimensionality / Trust Region / Multivariate GARCH / Covariance Matrices / Curse of Dimensionality / Trust Region / Multivariate GARCH

Local bootstrap approaches for fractional differential parameter estimation in ARFIMA models

Econometrics / Statistics / Time series analysis / Parameter estimation / Mean square error / Simulation experiment / Fractional Integral / Computational Statistics and Data Analysis / Confidence Interval / Simulation experiment / Fractional Integral / Computational Statistics and Data Analysis / Confidence Interval

Tabular Survival Models Estimated from Complete Data Samples

Statistics / Survival Analysis

Mínimas Desviaciones Absolutas

Statistics / Applied Statistics / Regression Models

High-dimensional pseudo-logistic regression and classification with applications to gene expression data

Econometrics / Statistics / Gene expression / Logistic Regression / Binary Classification / High Dimensional Data / Support vector machine / Sample Size / High Dimensionality / Tagucghi Loss Function / Classification Accuracy / Computational Statistics and Data Analysis / Gene Expression Data / High Dimensional Data / Support vector machine / Sample Size / High Dimensionality / Tagucghi Loss Function / Classification Accuracy / Computational Statistics and Data Analysis / Gene Expression Data

On L 1 Norm Multiclass Support Vector Machines

Econometrics / Statistics / Feature Selection / Support vector machine / Sparse representation / Receiving Operating Characteristic / Multi Class Classification / Receiving Operating Characteristic / Multi Class Classification

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