The generalized quantile array processing detector
Information Sciences: an International Journal
Law of large numbers for sample mean of random weighting estimate
Information Sciences: an International Journal
The random weighting estimate of quantile process
Information Sciences—Informatics and Computer Science: An International Journal
Random weighting estimation of parameters in generalized Gaussian distribution
Information Sciences: an International Journal
Short communication: Bootstrap quantile estimation via importance resampling
Computational Statistics & Data Analysis
Random weighting estimation for fusion of multi-dimensional position data
Information Sciences: an International Journal
Quantifying requirements elaboration to improve early software cost estimation
Information Sciences: an International Journal
Estimation of F-Matrix and image rectification by double quaternion
Information Sciences: an International Journal
Random Weighting Estimation of One-sided Confidence Intervals in Discrete Distributions
International Journal of Intelligent Mechatronics and Robotics
| Hi-index | 0.07 |
This paper presents a new random weighting method for smoothed quantile processes. A theory is established for random weighting estimation of smoothed quantile processes. It proves the weak convergence of the random weighting estimation error. Experiments and comparison analysis demonstrate that the proposed random weighting method can effectively estimate statistics, and the achieved accuracy and convergence speed are much higher than those of the Bootstrap method.