Statistical Distributions in Scientific Work Volume 5 — Inferential Problems and Properties
Other Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
Dordrecht
Springer Netherlands
1981, 1981
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Edition: | 1st ed. 1981 |
Series: | Nato Science Series C:, Mathematical and Physical Sciences
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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