Statistical Distributions in Scientific Work Volume 5 — Inferential Problems and Properties

Bibliographic Details
Other Authors: Taillie, Charles (Editor), Patil, Ganapati P. (Editor), Baldessari, Bruno A. (Editor)
Format: eBook
Language:English
Published: Dordrecht Springer Netherlands 1981, 1981
Edition:1st ed. 1981
Series:Nato Science Series C:, Mathematical and Physical Sciences
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Multivariate Distributions in Reliability Theory and Life Testing
  • Hazard Rates Based on Isoprobability Contours
  • Failure Time Distributions: Estimates and Asymptotic Results
  • A Note on Shock Model Justification for IFR Distributions
  • On the Mean Residual Life Function in Survival Studies
  • Identifiability Problems in the Theory of Competing and Complementary Risks — A Survey
  • Dependence Concepts for Stochastic Processes
  • Section VI: Miscellaneous
  • Some Distribution Theory Related to the Analysis of Subjective Performance in Inferential Tasks
  • Every Body Has Its Moments
  • Some Distributions in the Theory of Graphs
  • Cograduation Between Statistical Distributions and Its Applications—A General Review
  • Author Index
  • Section I: Distributional Testing and Goodness-of-Fit
  • A Review of Distributional Testing Procedures and Development of a Censored Sample Distributional Test
  • A Goodness-of-Fit Procedure for Testing Whether a Reliability Growth Model Fits Data that Show Improvement
  • Chi-Square Goodness-of-Fit Tests Based on Dependent Observations
  • An Asymptotically Distribution-Free Goodness-of-Fit Test for Families of Statistical Distributions Depending on Two Parameters
  • Conditionality Properties for the Bivariate Logarithmic Distribution with an Application to Goodness of Fit
  • Section II: Parameter Estimation
  • A Survey of Estimating Distributional Parameters and Sample Sizes from Truncated Samples
  • Parameter Estimation for Truncated Exponential Families
  • Properties of the Maximum Likelihood Estimator of a Mixing Distribution
  • Conditional Maximum Likelihood Estimation in Gaussian Mixtures
  • Estimation of Pareto Parameters by Numerical Methods
  • A New Estimation Procedure for the Three-Parameter Lognormal Distribution
  • Section III: Hypothesis Testing
  • On the Asymptotic Distribution of the Multivariate Cramer-von Mises and Hoeffding-Blum-Kiefer- Rosenblatt Independence Criteria
  • Complete Independence in the Multivariate Normal Distribution
  • On Tests of Independence Under Bivariate Exponential Models
  • On Tests for Detecting Change in the Multivariate Mean
  • A Two-Dimensional t-Distribution and a New Test With Flexible Type I Error Control
  • Testing Outliers in Multivariate Data
  • Section IV: Approximations
  • A Normal Approximation for the Multivariate Likelihood Ratio Statistics
  • Explicit Accurate Approximations for Fitting the Parameters of LU
  • A Method for the Evaluation of Cumulative Probabilities of Bivariate Distributions Using the Pearson Family
  • Transformation ofa Discrete Distribution to Near Normality
  • Section V: Reliability and Life Testing