Kontakt
Ako nakupovať
Doručenie
Nákupný poradca
Nonparametric Kernel Density Estimation and Its Computational Aspects
Angličtina
349 b
Až 30 dní na vrátenie tovaru
Zákazníci tiež kúpili
/
Brožovaná
13.56
€
/
Pevná
192.79
€
/
Brožovaná
7.28
€
/
Brožovaná
70.47
€
This book describes computational problems related to kernel density estimation (KDE) - one of the most important and widely used data smoothing techniques. A very detailed description of novel FFT-based algorithms for both KDE computations and bandwidth selection are presented. The theory of KDE appears to have matured and is now well developed and understood. However, there is not much progress observed in terms of performance improvements. This book is an attempt to remedy this. The book primarily addresses researchers and advanced graduate or postgraduate students who are interested in KDE and its computational aspects. The book contains both some background and much more sophisticated material, hence also more experienced researchers in the KDE area may find it interesting. The presented material is richly illustrated with many numerical examples using both artificial and real datasets. Also, a number of practical applications related to KDE are presented.
Informácie o knihe
Angličtina
Darujte túto knihu ešte dnes
Je to jednoduché
1 Pridajte knihu do košíka a vyberte možnosť doručiť ako darček 2 Obratom Vám zašleme poukaz 3 Knihu zašleme na adresu obdarovanéhoMohlo by vás tiež zaujímať
/
Brožovaná
15.79
€
Ahoj! Som Libroamiko, tvoj knižný radca.
Ako ti môžem pomôcť?