Parameter Estimation in Sensor Networks Under Probabilistic Censoring

Engineering

• Parameter Estimation 100%
• Sensor Network 100%
• Likelihood Function 100%
• One Dimensional 50%
• Maximum Likelihood 50%
• Optimisation Problem 50%
• Signal-to-Noise Ratio 50%
• Statistical Moment 50%
• System Parameter 50%
• Nonlinear Behavior 50%
• Basis Function 50%
• Pearsons Linear Correlation Coefficient 50%
• Probability Density 50%
• Least Square Problem 50%
• Nuisance Parameter 50%
• Least Square 50%
• Computational Complexity 50%

INIS

• probabilistic estimation 100%
• algorithms 100%
• sensors 100%
• randomness 50%
• signals 50%
• least square fit 50%
• approximations 25%
• probability 25%
• density 25%
• length 25%
• configuration 25%
• nonlinear problems 25%
• performance 25%
• one-dimensional calculations 25%
• optimization 25%
• moments method 25%
• signal-to-noise ratio 25%
• maximum-likelihood fit 25%
• series expansion 25%

Mathematics

• Least Square 100%
• Likelihood Function 100%
• Parameter Estimation 100%
• probability density ρ 50%
• Series Expansion 50%
• Maximum Likelihood Estimator 50%
• System Parameter 50%
• Basis Function 50%
• Method of Moment 50%
• Noise Ratio 50%
• Nuisance Parameter 50%