Gruber, M. H. J.  | John Wiley & Sons Inc

114,910원  | 20140805  | 9781118592557

A self-contained introduction to matrix analysis theory and applications in the field of statistics Comprehensive in scope, Matrix Algebra for Linear Models offers a succinct summary of matrix theory and its related applications to statistics, especially linear models.

Puntanen, Simo  | Springer Verlag

279,350원  | 20111019  | 9783642104725

In teaching linear statistical models to first-year graduate students or to final-year undergraduate students there is no way to proceed smoothly without matrices and related concepts of linear algebra; their use is really essential. Our experience is that making some particular matrix tricks very familiar to students can substantially increase their insight into linear statistical models (and also multivariate statistical analysis).

Harville, David A.  | Chapman & Hall

322,980원  | 20180313  | 9781138578333

Using linear statistical models as a basis for statistical inference and the theoretical underpinnings of resultant inferential procedures. Includes topics typically covered less extensively; prediction, multiple-comparison procedures for controlling FDR, spherical/elliptical distributions.

 | Springer Verlag

117,310원  | 20161021  | 9783319345697

This textbook is an approachable introduction to statistical analysis using matrix algebra.

 | Springer Nature B.V.

74,480원  | 20160213  | 9783662484753

This book addresses two-person zero-sum finite games in which the payoffs in any situation are expressed with fuzzy numbers. The purpose of this book is to develop a suite of effective and efficient linear programming models and methods for solving matrix games with payoffs in fuzzy numbers. Divided into six chapters, it discusses the concepts of solutions of matrix games with payoffs of intervals, along with their linear programming models and methods.