The saddlepoint method provides accurate approximations for the distributions of many test statistics, estimators and for important probabilities arising in various stochastic models. The saddlepoint approximation is a large deviations technique which is substantially more accurate than limiting normal or Edgeworth approximations, especially in presence of very small sample sizes or very small probabilities. The outstanding accuracy of the saddlepoint approximation can be explained by the fact that it has bounded relative error
The saddle-point approximation is a highly accurate approximation of the distribution of a random va...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
Saddlepoint approximations for the trimmed mean and the studentized trimmed mean are established. So...
The empirical saddlepoint distribution provides an approximation to the sampling distributions for t...
A saddlepoint approximation is provided for the distribution function of one M statistic conditional...
A saddlepoint approximation is provided for the distribution function of one M statistic conditional...
Saddlepoint approximations are powerful tools for obtaining accu-rate expressions for densities and ...
10.1080/03610920802521224Communications in Statistics - Theory and Methods38132241-2250CSTM
The saddle-point approximation is a highly accurate approximation of the distribution of a random va...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
The saddlepoint approximation as developed by Daniels [3] is an extremely accurate method for approx...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Title: Statistical inference based on saddlepoint approximations Author: Radka Sabolová Abstract: Th...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
Saddlepoint approximations for the trimmed mean and the studentized trimmed mean are established. So...
The empirical saddlepoint distribution provides an approximation to the sampling distributions for t...
A saddlepoint approximation is provided for the distribution function of one M statistic conditional...
A saddlepoint approximation is provided for the distribution function of one M statistic conditional...
Saddlepoint approximations are powerful tools for obtaining accu-rate expressions for densities and ...
10.1080/03610920802521224Communications in Statistics - Theory and Methods38132241-2250CSTM
The saddle-point approximation is a highly accurate approximation of the distribution of a random va...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...
Saddlepoint approximations are powerful tools for obtaining accurate expressions for densities and d...