Sisäänkirjautuminen

Pourahmadi, Mohsen

Modern Methods to Covariance Estimation: With High-Dimensional Data

Pourahmadi, Mohsen - Modern Methods to Covariance Estimation: With High-Dimensional Data, e-kirja

79,85€

E-kirja, ePUB, Adobe DRM-suojattu
ISBN: 9781118573662
DRM-rajoitukset

Tulostus62 sivua ja lisä sivu kertyy joka 12. tunti, ylärajana 62 sivua
Kopioi leikepöydälle5 poimintoa

Focusing on methodology and computation more than on theorems and proofs, this book provides computationally feasible and statistically efficient methods for estimating sparse and large covariance matrices of high-dimensional data. Extensive in breadth and scope, it features ample applications to a number of applied areas, including business and economics, computer science, engineering, and financial mathematics; recognizes the important and significant contributions of longitudinal and spatial data; and includes various computer codes in R throughout the text and on an author-maintained web site.

Avainsanat: Multivariate Analysis, multivariate, multivariate statistics, statistics, mathematics, computer science, engineering, business, economics, multivariate analysis, covariance estimation, text-mining, statistical learning, stochastic, models, longitudinal data analysis, covariance matrix, data mining

Tekijä(t)
Julkaisija
John Wiley and Sons, Inc.
Julkaisuvuosi
2013
Kieli
en
Painos
1
Sarja
Wiley Series in Probability and Statistics
Sivumäärä
208 sivua
Kategoria
Eksaktit luonnontieteet
Tiedostomuoto
E-kirja
eISBN (ePUB)
9781118573662
Painetun ISBN
9781118034293

Samankaltaisia e-kirjoja