Statistical Inference – methods by which generalizations are made about a population Two Major Areas of Statistical Inference 1. Estimation – a parameter is established based on the sampling distribution of a proportion, establishing a certain degree of accuracy from the estimate 2. Test of Hypothesis – a decision is arrived at about a prestated hypothesis, thereby accepting or rejecting the hy...

We extend the classical spectral estimation problem to the infinitedimensional case and propose a new approach to this problem using the Boundary Control (BC) method. Several applications to inverse problems for partial differential equations are provided.

Abstract—Using a texture database, a statistical estimation of spring-back was conducted in this study on the basis of statistical analysis. Both spring-back in bending deformation and experimental data related to the crystal orientation show significant dispersion. Therefore, a probabilistic statistical approach was established for the proper quantification of these values. Correlation was exa...

In this paper, we describe a high speed and multi degree of freedoms (DOFs) pose estimation method for a 3-D object that called Estimation-by-Completion (EbC) method. The most of employed processes are described with linear calculation, thus, whole procedure for each parameter estimation is expressed by a pair inner production, and it used only an arctangent calculation at the final part of the...

In this paper principles of extended Kalman filtering theory is developed and applied to simulated on-line electric power systems state estimation in order to trace the operating condition changes through the redundant and noisy measurements. Test results on IEEE 14 - bus test system are included. Three case systems are tried; through the comparing of their results, it is concluded that the pro...

in this paper, a maximum likelihood estimation and a minimum entropy estimation for the expected value and variance of normal fuzzy variable are discussed within the framework of credibility theory. as an application, a credibilistic portfolio selection model is proposed, which is an improvement over the traditional models as it only needs the predicted values on the security returns instead of...

OVERWHELMING EVIDENCE DOCUMENTS a tendency toward cost and effort overruns in software projects. On average, this overrun seems to be around 30 percent.1 Furthermore, comparing the estimation accuracy of the 1980s with that reported in more recent surveys suggests that the estimation accuracy hasn’t changed much since then. (The only analyses that suggest a strong improvement in estimation accu...