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
Statistical Software.
Data Structures and Information Theory.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Economic Theory/Quantitative Economics/Mathematical Methods.
Artificial intelligence.
Probability Theory and Stochastic Processes.
Linear models (Statistics)
Data structures (Computer science).
Regression analysis.
Statistical Theory and Methods.
Statistics for Business/Economics/Mathematical Finance/Insurance.
Macroeconomics.
Data Mining and Knowledge Discovery.
Probability and Statistics in Computer Science.
Statistics .
Mathematical statistics.
Data Analysis and Big Data.
R (Computer program language)
Econometrics.
Data mining.
Artificial Intelligence.
Macroeconomics/Monetary Economics//Financial Economics.
Operations Research/Decision Theory.
Statistics.
Economic theory.
Statistics for Business, Management, Economics, Finance, Insurance.
Applied Statistics.
Game Theory/Mathematical Methods.
Macroeconomics/Monetary Economics/Financial Economics.