We consider problems of sequential testing when the loss function is the sum of a component due to an error in the terminal decision and a cost of observation component. In all cases we establish a characterization of a complete class or an essentially complete class. In order to obtain such results for testing a null hypothesis against an alternative hypothesis we establish complete class results for testing the closure of the null hypothesis against the closure of the alternative hypothesis. A complete class for testing closure of null against closure of alternative is an essentially complete class for testing null against alternative. Furthermore, a complete class for testing closure of null against closure of alternative is a complete c...
The purpose of this dissertation is to demonstrate the admissibility of some well-known nonparametri...
Suppose that X has density {f(x, theta)=exp(theta x-psi(theta)} (with respect to some measure nu), w...
Suppose that at any stage of a statistical experiment a control vari-able X that affects the distrib...
We consider problems of sequential testing when the loss function is the sum of a component due to a...
Consider the problem of sequentially testing composite, contiguous hypotheses where the risk functio...
Hypothesis testing problems in which the null hypothesis is simple, the parameter space is finite di...
Theorems 3.1 and 3.2 as stated are incorrect. Corrected versions of these results are given below. T...
Consider the problem of sequentially testing a null hypothesis vs an alternative hypothesis when the...
Assume observations are from a subclass of a one parameter exponential family whose dominating measu...
The results of investigation of the properties of new sequential methods of testing many hypotheses ...
Questions pertaining to the admissibility of fixed sample size tests of hypotheses, when sequential ...
We present the sequential testing of two simple hypotheses for a large class of Lévy processes. As u...
We present the sequential testing of two simple hypotheses for a large class of Lévy processes. As u...
Let Xi be i.i.d. Xi∼Fθ. For some parametric families {Fθ}, we describe a monotonicity property of Ba...
Consider the problem of sequentially testing the hypothesis that the mean of a normal distribution o...
The purpose of this dissertation is to demonstrate the admissibility of some well-known nonparametri...
Suppose that X has density {f(x, theta)=exp(theta x-psi(theta)} (with respect to some measure nu), w...
Suppose that at any stage of a statistical experiment a control vari-able X that affects the distrib...
We consider problems of sequential testing when the loss function is the sum of a component due to a...
Consider the problem of sequentially testing composite, contiguous hypotheses where the risk functio...
Hypothesis testing problems in which the null hypothesis is simple, the parameter space is finite di...
Theorems 3.1 and 3.2 as stated are incorrect. Corrected versions of these results are given below. T...
Consider the problem of sequentially testing a null hypothesis vs an alternative hypothesis when the...
Assume observations are from a subclass of a one parameter exponential family whose dominating measu...
The results of investigation of the properties of new sequential methods of testing many hypotheses ...
Questions pertaining to the admissibility of fixed sample size tests of hypotheses, when sequential ...
We present the sequential testing of two simple hypotheses for a large class of Lévy processes. As u...
We present the sequential testing of two simple hypotheses for a large class of Lévy processes. As u...
Let Xi be i.i.d. Xi∼Fθ. For some parametric families {Fθ}, we describe a monotonicity property of Ba...
Consider the problem of sequentially testing the hypothesis that the mean of a normal distribution o...
The purpose of this dissertation is to demonstrate the admissibility of some well-known nonparametri...
Suppose that X has density {f(x, theta)=exp(theta x-psi(theta)} (with respect to some measure nu), w...
Suppose that at any stage of a statistical experiment a control vari-able X that affects the distrib...