AbstractThis paper extends a procedure, based on [1], wherein a sequential probability ration test (SPRT) is combined with a likelihood ratio test that incorporate both sequential observations and additional delayed observations. Two two-sample sequential tests are considered: one for binomial parameters and the other for the means of normal distributions. The essential feature of the method enables us to construct a SPRT with the risk probabilities set greater than the desired level, depending on a number of delayed observations. The terminal decision based on a likelihood ratio test can be made with the desired risk level. The adequacy and advantage of the procedure are discussed and a number of computational formulas is presented to faci...
In this paper we introduce the sequential precedence test (SPT) for testing the equality of two cont...
The sequential probability ratio test (SPRT) is a hypothesis testing procedure, which evaluates data...
Sequential sampling techniques are very useful when there is a significant cost in obtaining observa...
AbstractThis paper extends a procedure, based on [1], wherein a sequential probability ration test (...
AbstractA sequential test for the Behrens-Fisher problem is considered in this paper. A sequential p...
The sequential probability ratio test is an efficient test procedure compared to the fixed sample si...
Wald’s [A. Wald, Sequential Analysis, Wiley, New York, 1947] sequential probability ratio test (SPRT...
The problem of sequential testing of multiple hypotheses is considered, and two candidate sequential...
In practice, most computers generate simulation outputs sequentially, so it is attractive to analyze...
Sequential designs of Randomized Clinical Trials (RCT) allow repeated significance testing based on...
AbstractSequential two-sample tests when the sample size for one of the two populations is fixed is ...
In this thesis, we present an introduction to Wald’s Sequential Probability Ratio Test (SPRT) for bi...
The problem of robustifying of the sequential probability ratio test is considered for a discrete h...
Sequential sampling schemes have traditionally used ad hoc rules for sample size. The variable-sampl...
We examine results produced by a new likelihood stopping rule for terminating clinical trials, desig...
In this paper we introduce the sequential precedence test (SPT) for testing the equality of two cont...
The sequential probability ratio test (SPRT) is a hypothesis testing procedure, which evaluates data...
Sequential sampling techniques are very useful when there is a significant cost in obtaining observa...
AbstractThis paper extends a procedure, based on [1], wherein a sequential probability ration test (...
AbstractA sequential test for the Behrens-Fisher problem is considered in this paper. A sequential p...
The sequential probability ratio test is an efficient test procedure compared to the fixed sample si...
Wald’s [A. Wald, Sequential Analysis, Wiley, New York, 1947] sequential probability ratio test (SPRT...
The problem of sequential testing of multiple hypotheses is considered, and two candidate sequential...
In practice, most computers generate simulation outputs sequentially, so it is attractive to analyze...
Sequential designs of Randomized Clinical Trials (RCT) allow repeated significance testing based on...
AbstractSequential two-sample tests when the sample size for one of the two populations is fixed is ...
In this thesis, we present an introduction to Wald’s Sequential Probability Ratio Test (SPRT) for bi...
The problem of robustifying of the sequential probability ratio test is considered for a discrete h...
Sequential sampling schemes have traditionally used ad hoc rules for sample size. The variable-sampl...
We examine results produced by a new likelihood stopping rule for terminating clinical trials, desig...
In this paper we introduce the sequential precedence test (SPT) for testing the equality of two cont...
The sequential probability ratio test (SPRT) is a hypothesis testing procedure, which evaluates data...
Sequential sampling techniques are very useful when there is a significant cost in obtaining observa...