<span>Data structures and tools from computational geometry help to solve problems in computer graphics; these methods have been widely adopted by the computer graphics community yielding elegant and efficient algorithms. This book focuses on algorithms and data structures that have proven to be ver
Data Structures for Computational Statistics
β Scribed by Dr. Sigbert Klinke (auth.)
- Publisher
- Physica-Verlag Heidelberg
- Year
- 1997
- Tongue
- English
- Leaves
- 286
- Series
- Contributions to Statistics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Since the beginning of the seventies computer hardware is available to use programmable computers for various tasks. During the nineties the hardware has developed from the big main frames to personal workstations. Nowadays it is not only the hardware which is much more powerful, but workstations can do much more work than a main frame, compared to the seventies. In parallel we find a specialization in the software. Languages like COBOL for businessΒ orientated programming or Fortran for scientific computing only marked the beginning. The introduction of personal computers in the eighties gave new impulses for even further development, already at the beginning of the sevenΒ ties some special languages like SAS or SPSS were available for statisticians. Now that personal computers have become very popular the number of proΒ grams start to explode. Today we will find a wide variety of programs for almost any statistical purpose (Koch & Haag 1995).
β¦ Table of Contents
Front Matter....Pages i-viii
Introduction....Pages 1-23
Exploratory Statistical Techniques....Pages 25-59
Some Statistical Applications....Pages 61-90
Exploratory Projection Pursuit....Pages 91-167
Data Structures....Pages 169-195
Implementation in XploRe....Pages 197-238
Conclusion....Pages 239-276
Back Matter....Pages 277-284
β¦ Subjects
Statistics for Business/Economics/Mathematical Finance/Insurance
π SIMILAR VOLUMES
Focusing on algorithms and data structures that have proven to be versatile, efficient, fundamental, and easy to implement, this book familiarizes students, as well as practitioners in the field of computer graphics, with a wide range of data structures.
<br> Content: Introduction Paired comparison with asymmetry Graphical representation of asymmetric data Multidimensional scaling of asymmetric data Cluster analysis of asymmetric data Network analysis of asymmetric data Analysis of asymmetry of the relationship between two sets of multiv
<b><i>Data Analysis of Asymmetric Structures</i></b> provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research pr
<b><i>Data Analysis of Asymmetric Structures</i></b> provides a comprehensive presentation of a variety of models and theories for the analysis of asymmetry and its applications and provides a wealth of new approaches in every section. It meets both the practical and theoretical needs of research pr