The set of all bivariate probability distributions with support contained in {(i,j); I=1, 2 and J = 1,2,...,n} which are totally positive of order two is shown to be a convex set under some conditions on one of the marginal distributions. The extreme points of this compact convex set are explicitly enumerated. Using the structure of this convex set, we show that the power function of any test for testing the hypothesis of independence against the hypothesis of strict total positivity of order two in 2 - n ordinal contingency tables has a simple form in terms of the extreme points. A numerical illustration is provided.convex set extreme points Goodman-Kruskal's gamma ratio identifiability of mixtures odds ratio positive likelihood ratio depe...
Statistical evidence is represented and interpreted via likelihood functions, and its strength is me...
This thesis is mainly concerned with the estimation of conditional probabilities in two-way continge...
Testing for the independence between two categorical variables R and S forming a contingency table i...
AbstractThe set of all bivariate probability distributions with support contained in {(i,j); i=1, 2 ...
AbstractIn this paper, the set of all bivariate positive quadrant dependent distributions with fixed...
Let (X1, X2) be a bivariate random variable of the discrete type with joint probability density func...
Asymptotic power, categorical data, restricted alternative, most stringent somewhere most powerful t...
Consider an r - c contingency table under the full multinomial model where each category is ordered....
In the social research the variables often consist of ordered categories. When the row and column va...
We study a family of nonparametric tests of density ratio ordering between two continuous probabilit...
A joint distribution of two discrete random variables with finite support can be dis-played as a two...
Summary: By using a quantum probabilistic approach we obtain a description of the extreme points of ...
An exact conditional approach is developed to test for certain forms of positive association betwee...
AbstractConsider an r × c contingency table under the full multinomial model where each category is ...
The set of possible outcomes of a strongly ordinal bimatrix game is studied by imbedding each pair o...
Statistical evidence is represented and interpreted via likelihood functions, and its strength is me...
This thesis is mainly concerned with the estimation of conditional probabilities in two-way continge...
Testing for the independence between two categorical variables R and S forming a contingency table i...
AbstractThe set of all bivariate probability distributions with support contained in {(i,j); i=1, 2 ...
AbstractIn this paper, the set of all bivariate positive quadrant dependent distributions with fixed...
Let (X1, X2) be a bivariate random variable of the discrete type with joint probability density func...
Asymptotic power, categorical data, restricted alternative, most stringent somewhere most powerful t...
Consider an r - c contingency table under the full multinomial model where each category is ordered....
In the social research the variables often consist of ordered categories. When the row and column va...
We study a family of nonparametric tests of density ratio ordering between two continuous probabilit...
A joint distribution of two discrete random variables with finite support can be dis-played as a two...
Summary: By using a quantum probabilistic approach we obtain a description of the extreme points of ...
An exact conditional approach is developed to test for certain forms of positive association betwee...
AbstractConsider an r × c contingency table under the full multinomial model where each category is ...
The set of possible outcomes of a strongly ordinal bimatrix game is studied by imbedding each pair o...
Statistical evidence is represented and interpreted via likelihood functions, and its strength is me...
This thesis is mainly concerned with the estimation of conditional probabilities in two-way continge...
Testing for the independence between two categorical variables R and S forming a contingency table i...