Steland, Ansgar.
Overview
| Works: | 1 works in 1 publications in 1 languages | |
|---|---|---|
Titles
Stochastic Models, Statistics and Their Applications = Wrocław, Poland, February 2015 /
by:
SpringerLink (Online service); Szajowski, Krzysztof.; Steland, Ansgar.; Rafajłowicz, Ewaryst.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
Artificial Intelligence, Big Data and Data Science in Statistics = Challenges and Solutions in Environmetrics, the Natural Sciences and Technology /
by:
Steland, Ansgar.; SpringerLink (Online service); Tsui, Kwok-Leung.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
Stochastic Models, Statistics and Their Applications = Dresden, Germany, March 2019 /
by:
Okhrin, Ostap.; SpringerLink (Online service); Steland, Ansgar.; Rafajłowicz, Ewaryst.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/edt]
Basiswissen Statistik = Kompaktkurs für Anwender aus Wirtschaft, Informatik und Technik /
by:
SpringerLink (Online service); Steland, Ansgar.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
Stochastic models, statistics and their applications = Wroclaw, Poland, February 2015 /
by:
SpringerLink (Online service); Steland, Ansgar.; Rafajlowicz, Ewaryst.; Szajowski, Krzysztof.; Workshop on the Preservation of Stability under Discretization ((2001 :)
(Language materials, printed)
Subjects
Stochastic processes
Statistics for Life Sciences, Medicine, Health Sciences.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Economic Theory/Quantitative Economics/Mathematical Methods.
Probability Theory and Stochastic Processes.
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Machine learning.
Stochastic models
Probabilities.
Probability and Statistics in Computer Science.
Statistics .
Big Data.
Data Science.
Artificial intelligence—Data processing.
Mathematical statistics.
Econometrics.
Machine Learning.
Engineering mathematics.
Statistics.
Economic theory.
Statistics for Business, Management, Economics, Finance, Insurance.
Big data.
Applied Statistics.
Statistical Theory and Methods.
Applied mathematics.
Mathematical and Computational Engineering.