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主題
SAS (Computer program language)
概要
作品:
18 作品在 10 項出版品 10 種語言
書目資訊
SAS and R : = data management, statistical analysis, and graphics /
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SAS and R = data management, statistical analysis, and graphics /
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Regression modeling = methods, theory, and computation with SAS /
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Handbook of SAS data step programming /
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Practical business analytics using SAS = a hands-on guide /
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SAS programming and data visualization techniques = a power user's guide /
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Statistical hypothesis testing with SAS and R /
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Learn business analytics in six steps using SAS and R = a practical, step-by-step guide to learning business analytics /
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Handbook of SAS® DATA Step programming
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Statistical data analysis using SAS = intermediate statistical methods /
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Learn data science using SAS Studio = a quick-start guide /
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Applying predictive analytics = finding value in data /
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Supervised machine learning = optimization framework and applications with SAS and R /
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SAS for R users = a book for budding data scientists /
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Clinical trial data analysis using R and SAS /
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(書目-語言資料,印刷品)
Applying predictive analytics = finding value in data /
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SAS stored processes = a practical guide to developing web applications /
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Microsimulation population projections with SAS = a reference guide /
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更多
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主題
Information visualization.
Communications Engineering, Networks.
Demography- Statistical methods.
Statistical matching.
Enterprise miner
Probability Theory and Stochastic Processes.
SAS (Computer file)
Regression analysis- Data processing.
Programming Techniques.
Database Management.
Statistical Theory and Methods.
Plant Sciences.
Data mining.
Demography.
SAS (Computer program language)
R (Computer program language)
Statistics- Data processing
Supervised learning (Machine learning)
Database management
Data Mining and Knowledge Discovery.
Business- Data processing.
Big Data.
Clinical trials- Statistical methods.
Computational Intelligence.
Statistical hypothesis testing.
Web applications.
Big data.
Computer Science.
Mathematical Software.
Probability and Statistics in Computer Science.
Statistics.
Statistics and Computing/Statistics Programs.
Simulation and Modeling.
Statistics- Data processing.
Mathematical statistics- Data processing.
Big Data/Analytics.
Computer Applications.
Program transformation (Computer programming)
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