Estimation Based on Expectation Theory

Jun Tao Zhu; Chang Yu Sun; Yuan Yuan Jiao

doi:10.4028/www.scientific.net/AMM.204-208.4868

Paper Titles

Deterministic Method of Floor Rock Permeability Tensor of Mining over Confined Water and Application in Numerical Simulation
p.4840

Structure Optimal Design for Portable Exoskeleton Using Improved Particle Swarm Optimization
p.4845

Weibull Model Based on the Maximum Entropy Principle and its Applications on Elements Grade Distribution
p.4851

Integrated Design of Control/Structural Systems Based on Genetic Algorithm
p.4855

Estimation Based on Expectation Theory
p.4868

Integrated 3D Spatial Data Model of Object-Oriented Digital Landslide
p.4872

Load Distribution Calculation of Pile Group Using Artificial Bee Colony Algorithm
p.4878

The Influence of the Convective Terms Discretization Scheme on the Simulation Results of Architectural Numerical Wind Tunnel
p.4884

The Selection of Pressure Velocity Coupling Algorithm in the Numerical Wind Tunnel of Arch Roof
p.4888

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 204-208Estimation Based on Expectation Theory

Estimation Based on Expectation Theory

Abstract:

The theory of expectation estimation is put forward to discuss the estimation quality of the expectation domain. It is demonstrated that the “validity” criterion of the estimation theory in mathematical statistics (named classic estimate later) isn’t right and arithmetical average value x isn’t the best estimate. The means of characteristic value estimate (N (0, 1) estimate) is suggested to demonstrate the expectation estimate domain.