Advances in Complex Data Modeling and Computational Methods in Statistics
The book is addressed to statisticians working at the forefront of the statistical analysis of complex and high dimensional data and offers a wide variety of statistical models, computer intensive methods and applications: network inference from the analysis of high dimensional data; new development...
Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
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Άλλοι συγγραφείς: | Paganoni, Anna Maria (Επιμελητής έκδοσης), Secchi, Piercesare (Επιμελητής έκδοσης) |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
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Σειρά: | Contributions to Statistics,
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Παρόμοια τεκμήρια
-
Applied Statistics Using SPSS, STATISTICA, MATLAB and R
Έκδοση: (2007) -
Complex Models and Computational Methods in Statistics
Έκδοση: (2013) -
Bayesian Theory and Methods with Applications
ανά: Savchuk, Vladimir, κ.ά.
Έκδοση: (2011) -
Basic Elements of Computational Statistics
ανά: Härdle, Wolfgang Karl, κ.ά.
Έκδοση: (2017) -
Topological and Statistical Methods for Complex Data Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces /
Έκδοση: (2015)