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The papers assembled in this book were presented at the biannual Symposium of the International Association for Statistical Computing in Neuchatel, Switzerland, in August 1992. This congress maintaines the tradition of providing a forum for the open discussion of progress made in computer oriented statistics and the dissemination of new ideas throughout the statistical community. The papers are published in two volumes according to the emphasis of the topics: volume 1 gives a slightleaning towards statistics and modelling, while volume 2 is focussed more on computation. The present volume brings together a wide range of topics and perspectives in the field of statistics. It contains invited and contributed papers that are grouped for the ease oforientation in ten parts: (1) Statistical Modelling, (2) Multivariate Analysis, (3) Classification and Discrimination, (4) Symbolic Data, (5) Graphical Models, (6) Time Series Models, (7) Nonlinear Regression, (8) Robust and Smoothing Techniques, (9) Industrial Applications: Pharmaceutics and Quality Control and (10) Bayesian Statistics
In: Springer eBook Collection
The papers assembled in this book were presented at the biannual Symposium of the International Association for Statistical Computing in Neuchatel, Switzerland, in August of 1992. This congress maintaines the tradition of providing a forum for the open discussion of progress made in computer oriented statistics and the dissemination of new ideas throughout the statistical community. The papers are published in two volumes according to the emphasis of the topics: volume 1 gives a slightleaning towards statistics and modelling, while volume 2 is focussed more on computation. The present volume brings together a wide range of topics and perspectives in the field of statistics. It contains invited and contributed papers that are grouped for the ease oforientation in eight parts: (1) Programming Environments, (2) Computational Inference, (3) Package Developments, (4) Experimental Design, (5) Image Processing and Neural Networks, (6) Meta Data, (7) Survey Design, (8) Data Base