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Mathematical statistics—Data processing.

Overview

Works:	15 works in 0 publications in 0 languages

Titles

Frontiers in Statistical Quality Control 13 by: (Language materials, printed)

Statistical Causal Discovery: LiNGAM Approach by: (Language materials, printed)

Modern Survey Analysis = Using Python for Deeper Insights / by: (Language materials, printed)

Modern Statistics = A Computer-Based Approach with Python / by: (Language materials, printed)

Statistik für Ökonomen = Datenanalyse mit R und SPSS / by: (Language materials, printed)

Bayes Factors for Forensic Decision Analyses with R by: (Language materials, printed)

An Introduction to Statistics with Python = With Applications in the Life Sciences / by: (Language materials, printed)

Handbook of Statistical Bioinformatics by: (Language materials, printed)

Numerical Infinities and Infinitesimals in Optimization by: (Language materials, printed)

Statistics and Analysis of Scientific Data by: (Language materials, printed)

Subjects

Bioinformatics.

Artificial intelligence.

Digital and Analog Signal Processing.

Quantitative research.

Mathematical and Computational Engineering Applications.

Signal processing.

Machine learning.

Forensic Medicine.

Computational and Systems Biology.

Social sciences—Statistical methods.

Medicine—Research.

Artificial intelligence—Data processing.

Forensic Psychology.

Biometry.

Security systems.

Graph theory.

Medical jurisprudence.

Artificial Intelligence.

Marketing.

Forensic sciences.

Biology—Research.

Biomedical Research.

Operations Research and Decision Theory.

Statistics—Computer programs.

Mathematical optimization.

International Relations.

Production engineering.

Calculus of variations.

Compilers (Computer programs).

Sociology.

Digital media.

Industrial engineering.

Statistical Software.

Mathematical statistics—Data processing.

Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences.

Engineering—Data processing.

Forensic Science.

Programming Language.

Graph Theory.

Statistics and Computing.

Mathematical physics.

Computer Science.

Compilers and Interpreters.

Statistics .

Data and Information Visualization.

Data Science.

Probability and Statistics in Computer Science.

Big Data.

Data Engineering.

Data Analysis and Big Data.

Mathematical statistics.

Data mining.

Biostatistics.

Mathematical Applications in Computer Science.

Statistics in Business, Management, Economics, Finance, Insurance.

Machine Learning.

Operations research.

Engineering mathematics.

Computer science.

Forensic psychology.

Applied Statistics.

Big data.

Industrial and Production Engineering.

Programming languages (Electronic computers).

Data Mining and Knowledge Discovery.

Statistical Theory and Methods.

Computer science—Mathematics.

Mathematical Methods in Physics.

International relations.

Calculus of Variations and Optimization.

Security Science and Technology.

Digital and New Media.

Information visualization.

Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy.