26,99 €
inkl. MwSt.
Versandfertig in 6-10 Tagen
13 °P sammeln
Andere Kunden interessierten sich auch für
![Kernel Estimation for the Mode and Quantiles of Time Series]( "Kernel Estimation for the Mode and Quantiles of Time Series")
Kernel Estimation for the Mode and Quantiles of Time Series44,99 €![Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations]( "Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations")
Using the Kth Nearest Neighbor Clustering Procedure to Determine the Number of Subpopulations26,99 €![Nearest Neighbor Methods for the Imputation of Missing Values in Low and High-Dimensional Data]( "Nearest Neighbor Methods for the Imputation of Missing Values in Low and High-Dimensional Data")
Nearest Neighbor Methods for the Imputation of Missing Values in Low and High-Dimensional Data55,90 €![Sufficient Dimension Reduction for the Conditional Kth Moment]( "Sufficient Dimension Reduction for the Conditional Kth Moment")
Sufficient Dimension Reduction for the Conditional Kth Moment32,99 €![Simulation von Value at Risk und Conditional Value at Risk bei Wechselkursrisiken]( "Simulation von Value at Risk und Conditional Value at Risk bei Wechselkursrisiken")
Simulation von Value at Risk und Conditional Value at Risk bei Wechselkursrisiken47,95 €![Lectures on the Nearest Neighbor Method]( "Lectures on the Nearest Neighbor Method")
Lectures on the Nearest Neighbor Method104,99 €![Stochastische Programmierungsmodelle]( "Stochastische Programmierungsmodelle")
Stochastische Programmierungsmodelle15,95 €
During the last decades, the branch of statistics dedicated to the study of functional variables has known a real development in term of theoretical developments that diversification of fields of application. We are more particularly interested in this books to the non parametric estimation of the conditional mode by the k-Nearest Neighbourd method, in which the response variable is real whereas the explanatory variable is functional (taking its values in an infinite dimensional space). The aim of this books is to study the nonparametric estimation of the conditional mode by the k-Nearest Neighbor method for functional explanatory variables. We give the rate of the almost complete convergence of the $k$-NN kernel estimator of the conditional mode. A real data application is presented to exhibit the effectiveness of this estimation method with respect to the classical kernel estimation.