AbstractWe obtain limit theorems for likelihood ratio and cumulative sums tests. In the case of the likelihood ratio the centralising and normalising sequences go to infinity and the limit is the Gumbel (double exponential) distribution. The first and the last few observations determine the limit, which also explains why the likelihood ratio test is very powerful on the tails
Let x1,..., xn+1 be independent exponentially distributed random variables with intensity [lambda]1 ...
University of Minnesota Ph.D. dissertation. December 2011. Major: Statistics. Advisor: Tiefeng Jiang...
We study the problem of testing for equality at a xed point in the setting of nonparametric estimati...
AbstractOur concern in this paper is a detection of a change in regression coefficients of a linear ...
Abstract: This paper presents some limit theorems for arbitrary continuous random sequence, like man...
We find limit theorems regarding asymptotic distribution of density ratios. These results are applie...
power of likelihood ratio and cumulative sum tests for a change in a binomial probabilit
We consider some tests to detect a change-point in a multiple linear regression model. The tests are...
We study the asymptotic properties of the likelihood ratio pro-cesses for a sequence of binary ¯lter...
This thesis deals with two topics in asymptotic statistics. A concept of asymptotic optimality for s...
This study gives detailed proofs of some limit theorems in probability which are important in theore...
In this paper, asymptotic expansions of the distribution of the likelihood ratio statistic for testi...
AbstractLet x1,…, xn+1 be independent exponentially distributed random variables with intensity λ1 f...
For random samples of size n obtained from p-variate normal distributions, we consider the classical...
For random samples of size n obtained from p-variate normal distribu-tions, we consider the classica...
Let x1,..., xn+1 be independent exponentially distributed random variables with intensity [lambda]1 ...
University of Minnesota Ph.D. dissertation. December 2011. Major: Statistics. Advisor: Tiefeng Jiang...
We study the problem of testing for equality at a xed point in the setting of nonparametric estimati...
AbstractOur concern in this paper is a detection of a change in regression coefficients of a linear ...
Abstract: This paper presents some limit theorems for arbitrary continuous random sequence, like man...
We find limit theorems regarding asymptotic distribution of density ratios. These results are applie...
power of likelihood ratio and cumulative sum tests for a change in a binomial probabilit
We consider some tests to detect a change-point in a multiple linear regression model. The tests are...
We study the asymptotic properties of the likelihood ratio pro-cesses for a sequence of binary ¯lter...
This thesis deals with two topics in asymptotic statistics. A concept of asymptotic optimality for s...
This study gives detailed proofs of some limit theorems in probability which are important in theore...
In this paper, asymptotic expansions of the distribution of the likelihood ratio statistic for testi...
AbstractLet x1,…, xn+1 be independent exponentially distributed random variables with intensity λ1 f...
For random samples of size n obtained from p-variate normal distributions, we consider the classical...
For random samples of size n obtained from p-variate normal distribu-tions, we consider the classica...
Let x1,..., xn+1 be independent exponentially distributed random variables with intensity [lambda]1 ...
University of Minnesota Ph.D. dissertation. December 2011. Major: Statistics. Advisor: Tiefeng Jiang...
We study the problem of testing for equality at a xed point in the setting of nonparametric estimati...