[en] This text/reference examines classic algorithms, geometric diagrams, and mechanical principles for enhanced visualization of statistical estimation procedurs and mathematical concepts in physics, engineering, and computer programming - stressing the role of geometric and mechanical representations in the design and generation of numericl models for applications in physical science. Visualizing Statistical Models and Concepts provides methods to determine the position of a multivariate location parameter ... offers techniques to fit a plane or curved surface to multivariate data ... considers geomechanical dynamics for linear and non linear programming ... discusses mathematical approaches to estimate and predict potential energy, force, and strain of system components...and analyzes data sets generated by transitive and nontransitive pairwise preference orderings.
Disciplines :
Mathematics
Author, co-author :
Farebrother, Robert W.; Victoria University of Manchester > Econometrics
Schyns, Michael ; Université de Liège - ULiège > HEC - École de gestion de l'ULiège > Informatique de gestion
