Sharp upper and lower bounds are presented for the expectation of a randomly rounded nonnegative random variables satisfying a support constraint and two moment conditions. The rounding rule ascribes either the floor or the ceiling to a number due to a given two-point distribution. © 1998 Elsevier Science Ltd. All rights reserved
Current results in bounding the expectation of convex functions in a single and in multiple dimensio...
Abstract We develop a decreasing sequence of upper bounds on the expectation of a convex function. T...
AbstractThe method of projection, proposed in Part I, is applied to derive sharp moment bounds for t...
Sharp upper and lower bounds are presented for the expectation of a randomly rounded nonnegative ran...
AbstractSharp upper and lower bounds are presented for the expectation of a randomly rounded nonnega...
AbstractSharp upper and lower bounds are presented for the expectation of a randomly rounded nonnega...
Abstract. For the class of nonnegative random variables with given mean, variance, and skewness and ...
AbstractExact bounds for the mean value of a fractional moment, such as the sample standard deviatio...
Let $X_1,\ldots,X_n$ be random variables such that there exists a constant $C>1$ satisfying $\|X_i\|...
In the paper we describe a new application of the ε-proper rounding method to measured values and th...
We develop a class of lower bounds on the expectation of a convex function. The bounds utilize the f...
We develop a class of lower bounds on the expectation of a convex function. The bounds utilize the f...
We develop a class of lower bounds on the expectation of a convex function. The bounds utilize the f...
Given any random variable X[set membership, variant][0,M] with and fixed, various bounds are derived...
AbstractExact bounds for the mean value of a fractional moment, such as the sample standard deviatio...
Current results in bounding the expectation of convex functions in a single and in multiple dimensio...
Abstract We develop a decreasing sequence of upper bounds on the expectation of a convex function. T...
AbstractThe method of projection, proposed in Part I, is applied to derive sharp moment bounds for t...
Sharp upper and lower bounds are presented for the expectation of a randomly rounded nonnegative ran...
AbstractSharp upper and lower bounds are presented for the expectation of a randomly rounded nonnega...
AbstractSharp upper and lower bounds are presented for the expectation of a randomly rounded nonnega...
Abstract. For the class of nonnegative random variables with given mean, variance, and skewness and ...
AbstractExact bounds for the mean value of a fractional moment, such as the sample standard deviatio...
Let $X_1,\ldots,X_n$ be random variables such that there exists a constant $C>1$ satisfying $\|X_i\|...
In the paper we describe a new application of the ε-proper rounding method to measured values and th...
We develop a class of lower bounds on the expectation of a convex function. The bounds utilize the f...
We develop a class of lower bounds on the expectation of a convex function. The bounds utilize the f...
We develop a class of lower bounds on the expectation of a convex function. The bounds utilize the f...
Given any random variable X[set membership, variant][0,M] with and fixed, various bounds are derived...
AbstractExact bounds for the mean value of a fractional moment, such as the sample standard deviatio...
Current results in bounding the expectation of convex functions in a single and in multiple dimensio...
Abstract We develop a decreasing sequence of upper bounds on the expectation of a convex function. T...
AbstractThe method of projection, proposed in Part I, is applied to derive sharp moment bounds for t...