A new proof for monotone likelihood ratio for the sum of independent bernoulli random variables
- Huynh Huynh
DOIAbstract
Bernoulli, binary random variables, elementary symmetric functions, monotone likelihood ratio,
Bernoulli, binary random variables, elementary symmetric functions, monotone likelihood ratio,
AbstractThe modified likelihood ratio criterion for testing the homogeneity of variances of p univar...
This note presents a Kolmogorov inequality for the partial sums of a sequence of independent Bernoul...
In this paper, the notion of likelihood ratio, as a measure of the deviation between a sequence of i...
AbstractGiven that r and s are natural numbers and X∼Binomial(r,q) and Y∼Binomial(s,p) are independe...
This note provides a direct, elementary proof of the fundamental result on monotone likelihood ratio...
We study the problem of testing for equality at a xed point in the setting of nonparametric estimati...
Suppose a random variable has a density belonging to a one parameter family which has strict monoton...
Sharpened versions of a Kolmogorov's inequality for sums of independent Bernoulli random variables a...
This Article is brought to you for free and open access by the CARD Reports and Working Papers at Di...
Let S and X be independent random variables, assuming values in the set of non-negative integers, an...
I will be giving an expository talk about the sums of two independent types of discrete random varia...
We study nonparametric isotonic confidence intervals for monotone functions. In [Ann. Statist. 29 (2...
It is generally taken for granted that the covariance of two increasing functions of a random variab...
In this paper two Kolmogorov inequalities are presented for the sample average of independent (but n...
We define a product of algebraic probability spaces equipped with two states. This product is called...
AbstractThe modified likelihood ratio criterion for testing the homogeneity of variances of p univar...
This note presents a Kolmogorov inequality for the partial sums of a sequence of independent Bernoul...
In this paper, the notion of likelihood ratio, as a measure of the deviation between a sequence of i...
AbstractGiven that r and s are natural numbers and X∼Binomial(r,q) and Y∼Binomial(s,p) are independe...
This note provides a direct, elementary proof of the fundamental result on monotone likelihood ratio...
We study the problem of testing for equality at a xed point in the setting of nonparametric estimati...
Suppose a random variable has a density belonging to a one parameter family which has strict monoton...
Sharpened versions of a Kolmogorov's inequality for sums of independent Bernoulli random variables a...
This Article is brought to you for free and open access by the CARD Reports and Working Papers at Di...
Let S and X be independent random variables, assuming values in the set of non-negative integers, an...
I will be giving an expository talk about the sums of two independent types of discrete random varia...
We study nonparametric isotonic confidence intervals for monotone functions. In [Ann. Statist. 29 (2...
It is generally taken for granted that the covariance of two increasing functions of a random variab...
In this paper two Kolmogorov inequalities are presented for the sample average of independent (but n...
We define a product of algebraic probability spaces equipped with two states. This product is called...
AbstractThe modified likelihood ratio criterion for testing the homogeneity of variances of p univar...
This note presents a Kolmogorov inequality for the partial sums of a sequence of independent Bernoul...
In this paper, the notion of likelihood ratio, as a measure of the deviation between a sequence of i...
Add to ORKG