von Rosen, Dietrich.
Overview
            | Works: | 1 works in 0 publications in 0 languages | |
|---|---|---|
Titles
          
                  
                    Trends and Perspectives in Linear Statistical Inference  =  LinStat, Istanbul, August 2016 /
                  
                  by: 
                  Tez, Müjgan.; von Rosen, Dietrich.; SpringerLink (Online service)
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/edt]
                  
                
                  
                    Multivariate, Multilinear and Mixed Linear Models
                  
                  by: 
                  von Rosen, Dietrich.; Markiewicz, Augustyn.; SpringerLink (Online service); Filipiak, Katarzyna.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/edt]
                  
                
                  
                    Bilinear Regression Analysis = An Introduction /
                  
                  by: 
                  SpringerLink (Online service); von Rosen, Dietrich.
                  (Language materials, printed)
                  , [http://id.loc.gov/vocabulary/relators/aut]
                  
                
                
          Subjects
          
            
              
                Statistics .
              
            
              
                Linear Algebra.
              
            
              
                Statistics for Life Sciences, Medicine, Health Sciences.
              
            
              
                Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
              
            
              
                Matrix theory.
              
            
              
                Statistics and Computing/Statistics Programs.
              
            
              
                Algebra.
              
            
              
                Algebras, Linear.
              
            
              
                Statistical Theory and Methods.
              
            
              
                Linear and Multilinear Algebras, Matrix Theory.
              
            
              
                Statistics for Business, Management, Economics, Finance, Insurance.
              
            
              
                Applied Statistics.