Developments in Statistics
eBook - PDF

Developments in Statistics

  1. 352 pages
  2. English
  3. PDF
  4. Only available on web
eBook - PDF

Developments in Statistics

Book details
Table of contents
Citations

About This Book

Development in Statistics, Volume 1 is a collection of papers that deals with theory and application of parameter estimation in stochastic differential systems, the comparative aspects of the study of ordinary time series, and real multivariate distributions. Some papers discuss covariance analysis of nonstationary time series, nonparametric repeated significance tests, as well as discrete optimal factorial designs for statisticians and investigators of experiments. One paper cites an application of parameter estimation in stochastic differential systems in approximates of stability and control derivatives from flight test data. Another paper cites cases where procedures of ordinary time series (or point processes) have direct analogs in the study of point processes (or ordinary time series). One paper explains the applications of multivariate distributions in simultaneous tests on the equality of eigenvalues toward the covariance matrix, canonical correlation matrix, and a matrix associated with the multivariate analysis of variance. Another paper reviews two types of repeated significance tests, namely, the genuinely distribution-free tests based on a broad class of nonparametric statistics; and the asymptotically distribution-free tests based on a broad class of parametric statistics but having asymptotically nonparametric behavior. Both types can provide a unified solution to a broad class of problems. The collection can be valuable for mathematicians, students, and professors of calculus, statistics, or advanced mathematics.

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Information

Publisher
Academic Press
Year
2014
ISBN
9781483264868
Topic
Mathematics
Subtopic
Applied Mathematics
Index
Mathematics

Table of contents

  1. Front Cover
  2. Developments in Statistics
  3. Copyright Page
  4. Table of Contents
  5. List of Contributors
  6. Preface
  7. Contents of Volume 2
  8. Chapter 1. Parameter Estimation in Stochastic Differential Systems: Theory and Application
  9. Chapter 2. Comparative Aspects of the Study of Ordinary Time Series and of Point Processes
  10. Chapter 3. Some Recent Developments on Real Multivariate Distributions
  11. Chapter 4. Covariance Analysis of Nonstationary Time Series
  12. Chapter 5. Nonparametric Repeated Significance Tests
  13. Chapter 6. A Review of Some Recent Work on Discrete Optimal Factorial Designs for Statisticians and Experimenters
  14. Author Index
  15. Subject Index