Contributions to order statistics /
| Основен автор: | Sarhan, Ahmad E. |
|---|---|
| Други автори: | Greenberg, Bernard G., (joint ed.) |
| Формат: | Книга |
| Език: | English |
| Публикувано: |
New York :
Wiley,
[1962]
|
| Серия: |
Wiley publication in applied statistics.
|
| Предмети: | |
| Подобни документи: |
Online version::
Contributions to order statistics. |
Съдържание:
- Part I: General theory (over-all survey of general nature)
- Distribution and moments of order statistics
- Generalized least-square theorem
- Approximation to the best linear estimates
- Approximation of least-squares estimates of location and scale parameters
- Nearly best linear estimates of location and scale parameters
- Estimation of the location and scale parameters by sample quantiles (for large samples)
- Statistical theory of extreme values (main results)
- Special problems in testing hypotheses
- Order statistics in short-cut tests
- The closest two out of three observations
- Nonparametric two out of three observations
- Nonparametric confidence intervals and tolerance regions
- Multiple decisions and multiple comparisons
- Part II: Specific applications
- Normal distribution
- The moments of the order statistics and of the range in samples from normal populations
- Tables of lower moments of order statistics for samples from the normal distribution
- The best linear estimates for the parameters of the normal distribution
- Simple estimates of the mean and standard deviation of a normal population
- Determinations of optimum spacings in the case of normal distribution
- Estimation of correlation coefficient by order statistics
- Tests of significance using sample quantiles
- Rejection of observations
- Exponential distribution
- Moments of order statistics
- Best linear unbiased estimates
- Simple estimates of the parameters of exponential distributions
- Optimum spacing and grouping for the exponential distribution
- Tests of significance and confidence intervals
- Other distributions
- Rectangular distribution
- Certain symmetric distributions
- Extreme-value distribution
- Gamma distribution
- Right triangular distribution.