Covers discrete and continuous probability laws, random variables; expectations; laws of large numbers and central limit theorem; estimation, testing hypothesis, analysis of variance, regression ...

Statistical testing and lower bounds in distributed estimation constitute a rapidly evolving area that addresses both the design of robust tests for assessing data properties across networked systems ...

Imagine you're cooking a new recipe. You have the ingredients, the instructions and the tools. Yet, as you cook, you run into problems: some ingredients need more prep time, the oven heats unevenly ...

We derive exact finite-sample expressions for the biases and risks of several common pretest estimators of the scale parameter in the linear regression model. These estimators are associated with ...

This is a preview. Log in through your library . Abstract The behavior of R̂t, the uniformly minimum variance unbiased estimator (umvue) of the reliability function for the one-parameter exponential ...

We estimate sovereign bond spreads of 28 emerging economies over the period January 1998-December 2011 and test the ability of the model in generating accurate in-sample predictions for emerging ...