The Inverse Gaussian Distribution Statistical Theory and Applications / by V. Seshadri.

This book is written in the hope that it will serve as a companion volume to my first monograph. The first monograph was largely devoted to the probabilistic aspects of the inverse Gaussian law and therefore ignored the statistical issues and related data analyses. Ever since the appearance of the b...

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Bibliographic Details
Main Author: Seshadri, V. (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 1999.
Edition:1st ed. 1999.
Series:Lecture Notes in Statistics, 137
Springer eBook Collection.
Subjects:
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • I Statistical Theory
  • 1. Distribution theory
  • 2. Estimation
  • 3. Significance tests
  • 4. Sequential methods
  • 5. Reliability & Survival analysis
  • 6. Goodness-of-fit
  • 7. Compound laws & mixtures
  • II Applications
  • A. Actuarial science
  • B. Analysis of reciprocals
  • C. Demography
  • D. Histomorphometry
  • E. Electrical networks
  • F. Hydrology
  • G. Life tests
  • H. Management science
  • I. Meteorology
  • J. Mental health
  • ?. Physiology
  • L. Remote sensing
  • M. Traffic noise intensity
  • N. Market research
  • ?. Regression
  • P. Slug lengths in pipelines
  • Q. Ecology
  • R. Entomology
  • S. Small area estimation
  • T. CUSUM
  • U. Plutonium Estimation
  • References
  • Author Index.