Motivated by applications in the lumber industry, we derive confidence regions for the ratio of percentiles from two different populations. Generalizing work on inferences concerning the ratio of two means, we develop an exact confidence procedure when the two populations are normal and have the same variance. Other cases for normal populations are treated by large sample methods. General populations are also treated in a large sample context. The different large sample procedures are compared with a small simulation study. An example, using strength of lumber data, is also given.Non-central t distribution non-parametric estimation Strength of lumber Large sample comparisons
The problem of assessing occupational exposure using the mean or an upper percentile of a log-normal...
It has been mathematically demonstrated that the distribution of modulus of rupture (MOR) in a grade...
Suppose that there are independent samples available from several multivariate normal populations wi...
Maintaining a high quality of lumber products is of great social and economic importance. This thesi...
This paper presents a hypothesis testing method given independent samples from a number of connected...
In a number of situations, for example in biology, psychology and neurosciences, researchers are int...
There exists a temptation to utilize the distribution-free methods of ASTM D2915-70T for the compari...
Statistical analyses are performed for material strength parameters from a large number of specimens...
The asymptotic distribution for the ratio of sample proportions in two independent bernoulli popula...
When fitted functions are used in reliability analysis, it is essential that the fit is good in lowe...
In this paper we review the main proposed approximations to percentiles of the noncentral t-distribu...
Reliability calculations for lumber products ultimately depend on the statistical distributions that...
To evaluate the reliability of lumber structures, good models for the strength and stiffness distrib...
Thomas. The performance of three approximate confidence limit methods for the odds ratio. Am J Epide...
An alternative approach to the computation of confidence intervals for the noncentrality parameter o...
The problem of assessing occupational exposure using the mean or an upper percentile of a log-normal...
It has been mathematically demonstrated that the distribution of modulus of rupture (MOR) in a grade...
Suppose that there are independent samples available from several multivariate normal populations wi...
Maintaining a high quality of lumber products is of great social and economic importance. This thesi...
This paper presents a hypothesis testing method given independent samples from a number of connected...
In a number of situations, for example in biology, psychology and neurosciences, researchers are int...
There exists a temptation to utilize the distribution-free methods of ASTM D2915-70T for the compari...
Statistical analyses are performed for material strength parameters from a large number of specimens...
The asymptotic distribution for the ratio of sample proportions in two independent bernoulli popula...
When fitted functions are used in reliability analysis, it is essential that the fit is good in lowe...
In this paper we review the main proposed approximations to percentiles of the noncentral t-distribu...
Reliability calculations for lumber products ultimately depend on the statistical distributions that...
To evaluate the reliability of lumber structures, good models for the strength and stiffness distrib...
Thomas. The performance of three approximate confidence limit methods for the odds ratio. Am J Epide...
An alternative approach to the computation of confidence intervals for the noncentrality parameter o...
The problem of assessing occupational exposure using the mean or an upper percentile of a log-normal...
It has been mathematically demonstrated that the distribution of modulus of rupture (MOR) in a grade...
Suppose that there are independent samples available from several multivariate normal populations wi...