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Point Estimation

The process of using sample data to determine a single best value for a population parameter.
National Institutes of Health

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Operation Risk Assessment of AC/DC Hybrid Distribution System Based on Two-Point Estimation Method
The operation risk assessment of AC/DC hybrid distribution system is of important to determine the operational status of the… 
2017
2017
Common change point estimation in panel data from the least squares and maximum likelihood viewpoints
We establish the convergence rates and asymptotic distributions of the common break change-point estimators, obtained by least… 
2016
2016
Camera principal point estimation from vanishing points
Calibration is a fundamental task in computer vision and photogrammetry. One of the most important intrinsic camera parameters is… 
2015
2015
Grid connected PV system with maximum power point estimation based on reference cells
This paper proposes a control strategy for a single-stage, three-phase photovoltaic (PV) system connected to a distribution… 
2012
2012
Change Point Estimation in Monitoring Survival Time
Precise identification of the time when a change in a hospital outcome has occurred enables clinical experts to search for a… 
2011
2011
Derivation and Validation of Pedotransfer Functions for Point Estimation of Soil Moisture in Sandy to Clayey Soil Texture
Soil water retention at field capacity and permanent wilting point are important for recognizing plant available water potential… 
2007
2007
Learning class specific edges for vanishing point estimation
Vanishing point estimation is useful for a variety of computer vision tasks. Recent efforts in building large city models showed… 
2004
2004
Coding with noisy neurons: stability of tuning curve estimation strongly depends on the analysis method
1998
1998
An Algorithm for Estimating Fixed Points of Dynamical Systems from Time Series
This paper presents an algorithm for estimating fixed points of dynamical systems from time series. In some cases the new… 
1997
1997
Using hidden Markov chains and empirical Bayes change-point estimation for transect data
Consider a lattice of locations in one dimension at which data are observed. We model the data as a random hierarchical process… 
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