Statistical Computation
eBook - PDF

Statistical Computation

  1. 474 pages
  2. English
  3. PDF
  4. Only available on web
eBook - PDF

Statistical Computation

Book details
Table of contents
Citations

About This Book

Statistical Computation covers the proceedings of a conference held at the University of Wisconsin in Madison, Wisconsin on April 28-30, 1969. The book focuses on the methodologies, techniques, principles, and approaches involved in statistical computation. The selection first elaborates on the description of data structures for statistical computing, autocodes for the statistician, and an experimental data structure for statistical computing. Discussions focus on data-system organization, data structures, autocode requirements, data matrix, structure formulas, and structure formulas in data processing and output. The text then examines statistics and computers in relation to large data bases, statistical data language, facilities in a statistical program system for analysis of multiply-indexed data, and language design and the needs of statisticians. The book takes a look at time sharing and interactive statistics, an approach to conversational statistics, use of APL in statistics, and continuing development of a statistical system. Topics include arithmetic operations and branching statements, ASCOP system, application to statistics, semantics, pragmatics, and implementation. The selection is a valuable reference for statisticians and researchers interested in statistical computation.

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Yes, you can access Statistical Computation by Roy C. Milton,John A. Nelder in PDF and/or ePUB format, as well as other popular books in Mathematics & Applied Mathematics. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
ISBN
9781483258027
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Statistical Computation
  3. Copyright Page
  4. Table of Contents
  5. SPEAKERS
  6. PREFACE
  7. PART I: KEYNOTE ADDRESS
  8. PART II: SPECIFICATIONS FOR STATISTICAL DATA STRUCTURES
  9. PART III: STATISTOAL SYSTEMS AND LANGUAGES
  10. PART IV: STATISTOAL DATA SCREENING WITH COMPUTERS
  11. PART V: TEACHING OF STATISTICS WITH COMPUTERS
  12. PART VI: CURRENT TECHNIQUES IN NUMERICAL ANALYSIS RELATED TO STATISšCAL COMPUTATON