Abstract: This article evaluates methods of computing confidence intervals and values of descriptive statistics, capability and performance indexes with the help of conventional procedures, statistical SW, and the method of generating random subgroups. Comparison of different methods has shown that there are differences between the results obtained by SW and those obtained by manual computing. Alternative estimation of values and confidence intervals by means of bootstrapping technique is discussed
Results from exploratory three-way analysis techniques such as CANDECOMP/PARAFAC and Tucker3 analysi...
Includes bibliographical references (pages [15]-16).Confidence sets are constructed in almost any st...
A computer-intensive method for estimating small sample statistics and obtaining confidence interval...
This paper describes some theoretical backgrounds of confidence interval construction. The order of ...
The following paper details how the use of simulation can help to introduce computer intensive appli...
This article investigates the bootstrap methods for producing good approximate confidence intervals....
1. Researchers often want to place a confidence interval around estimated parameter values calculate...
An extension of Monte Carlo methods to confidence interval estimation, using the bootstrap technique...
The manuscript is an attempt to present in a single document the various types of confidence interva...
A bootstrap method for generating confidence intervals in linear models is suggested. The method is ...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
Nonparametric techniques provide no analytical solutions for confidence intervals. The bootstrap and...
This study provides a supplemental report of the performance of the confidence interval for direct s...
This paper discusses the classic but still current problem of interval estimation of a binomial prop...
Results from exploratory three-way analysis techniques such as CANDECOMP/PARAFAC and Tucker3 analysi...
Includes bibliographical references (pages [15]-16).Confidence sets are constructed in almost any st...
A computer-intensive method for estimating small sample statistics and obtaining confidence interval...
This paper describes some theoretical backgrounds of confidence interval construction. The order of ...
The following paper details how the use of simulation can help to introduce computer intensive appli...
This article investigates the bootstrap methods for producing good approximate confidence intervals....
1. Researchers often want to place a confidence interval around estimated parameter values calculate...
An extension of Monte Carlo methods to confidence interval estimation, using the bootstrap technique...
The manuscript is an attempt to present in a single document the various types of confidence interva...
A bootstrap method for generating confidence intervals in linear models is suggested. The method is ...
The introduction of the bootstrap methods by Efron (1979) enables many empirical researches, which w...
Three different bootstrap confidence intervals (CIs) for coefficient omega were investigated. The CI...
Nonparametric techniques provide no analytical solutions for confidence intervals. The bootstrap and...
This study provides a supplemental report of the performance of the confidence interval for direct s...
This paper discusses the classic but still current problem of interval estimation of a binomial prop...
Results from exploratory three-way analysis techniques such as CANDECOMP/PARAFAC and Tucker3 analysi...
Includes bibliographical references (pages [15]-16).Confidence sets are constructed in almost any st...
A computer-intensive method for estimating small sample statistics and obtaining confidence interval...