Heumann, Christian.
Overview
| Works: | 1 works in 2 publications in 1 languages | |
|---|---|---|
Titles
Introduction to Statistics and Data Analysis = With Exercises, Solutions and Applications in R /
by:
SpringerLink (Online service); Schomaker, Michael.; Shalabh.; Heumann, Christian.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
Statistical Foundations, Reasoning and Inference = For Science and Data Science /
by:
Heumann, Christian.; SpringerLink (Online service); Kauermann, Göran.; Küchenhoff, Helmut.
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
Introduction to statistics and data analysis = with exercises, solutions and applications in R /
by:
Shalabh.; Schomaker, Michael.; SpringerLink (Online service); Heumann, Christian.
(Language materials, printed)
Statistik = Der Weg zur Datenanalyse /
by:
Künstler, Rita.; Pigeot, Iris.; Heumann, Christian.; Fahrmeir, Ludwig.; Tutz, Gerhard.; SpringerLink (Online service)
(Language materials, printed)
, [http://id.loc.gov/vocabulary/relators/aut]
Introduction to statistics and data analysis = with exercises, solutions and applications in R /
by:
Heumann, Christian.; Schomaker, Michael.; Shalabh.; SpringerLink (Online service)
(Language materials, printed)
Recent Advances in Linear Models and Related Areas = Essays in Honour of Helge Toutenburg /
by:
Heumann, Christian.; SpringerLink (Online service); Shalabh.
(Language materials, printed)
Subjects
Economic Theory/Quantitative Economics/Mathematical Methods.
Artificial intelligence.
Probability Theory and Stochastic Processes.
R (Computer program language)
Artificial Intelligence.
Macroeconomics/Monetary Economics//Financial Economics.
Statistics.
Macroeconomics/Monetary Economics/Financial Economics.
Macroeconomics.
Statistical Software.
Data Structures and Information Theory.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Linear models (Statistics)
Data structures (Computer science).
Regression analysis.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Probability and Statistics in Computer Science.
Statistics .
Mathematical statistics.
Data Analysis and Big Data.
Econometrics.
Data mining.
Operations Research/Decision Theory.
Economic theory.
Statistics for Business, Management, Economics, Finance, Insurance.
Applied Statistics.
Game Theory/Mathematical Methods.
Statistical Theory and Methods.
Data Mining and Knowledge Discovery.