[12] viXra:1705.0463 [pdf] submitted on 2017-05-30 05:50:38
Authors: Ramesh Chandra Bagadi
Comments: 14 Pages.
In this research investigation, the author has presented a Recursive Past Equation and a Recursive Future Equation based on the Ananda-Damayanthi Normalized Similarity Measure considered to Exhaustion [1].
Category: Statistics
[11] viXra:1705.0407 [pdf] submitted on 2017-05-28 23:37:47
Authors: Ramesh Chandra Bagadi
Comments: 13 Pages.
In this research investigation, the author has presented a Recursive Past Equation and a Recursive Future Equation based on the Ananda-Damayanthi Normalized Similarity Measure considered to Exhaustion [1].
Category: Statistics
[10] viXra:1705.0402 [pdf] submitted on 2017-05-28 04:09:15
Authors: Ramesh Chandra Bagadi
Comments: 12 Pages.
In this research investigation, the author has presented a Recursive Past Equation and a Recursive Future Equation based on the Ananda-Damayanthi Normalized Similarity Measure considered to Exhaustion [1].
Category: Statistics
[9] viXra:1705.0396 [pdf] submitted on 2017-05-28 01:50:06
Authors: Ramesh Chandra Bagadi
Comments: 8 Pages.
In this research investigation, the author has presented a Recursive Past Equation and a Recursive Future Equation based on the Ananda-Damayanthi Normalized Similarity Measure considered to Exhaustion [1].
Category: Statistics
[8] viXra:1705.0296 [pdf] submitted on 2017-05-20 04:45:05
Authors: Ramesh Chandra Bagadi
Comments: 3 Pages.
In this research investigation, the author has presented a Recursive Past Equation and a Recursive Future Equation based on the Ananda-Damayanthi Normalized Similarity Measure considered to Exhaustion [1].
Category: Statistics
[7] viXra:1705.0128 [pdf] submitted on 2017-05-07 09:59:15
Authors: Ramesh Chandra Bagadi
Comments: 2 Pages.
In this research investigation, the author has presented a Recursive Past Equation and a Recursive Future Equation based on the Ananda-Damayanthi Similarity Measure and its series considered to Exhaustion [1].
Category: Statistics
[6] viXra:1705.0127 [pdf] submitted on 2017-05-07 11:13:19
Authors: Ramesh Chandra Bagadi
Comments: 2 Pages.
In this research investigation, the author has presented a Recursive Past Equation and a Recursive Future Equation based on the Ananda-Damayanthi Similarity Measure considered to Exhaustion [1].
Category: Statistics
[5] viXra:1705.0106 [pdf] submitted on 2017-05-05 03:43:32
Authors: Ramesh Chandra Bagadi
Comments: 2 Pages.
In this research investigation, the author has presented a Recursive Future Equation based on the Ananda-Damayanthi Normalized Similarity Measure [1].
Category: Statistics
[4] viXra:1705.0098 [pdf] submitted on 2017-05-03 13:47:48
Authors: G. Healey, S. Zhao, D. Brooks
Comments: 6 Pages.
Given the speed and movement for pitches thrown by a set of pitchers, we develop a measure of pitcher similarity.
Category: Statistics
[3] viXra:1705.0097 [pdf] submitted on 2017-05-03 13:55:04
Authors: G. Healey, S. Zhao, D. Brooks
Comments: 7 Pages.
Tables of the most similar pitcher matches for 2016.
Category: Statistics
[2] viXra:1705.0093 [pdf] replaced on 2017-07-05 00:57:58
Authors: L. Martino
Comments: IET Electronics Letters, Volume 53, Issue 16, Pages: 1115-1117, 2017
Monte Carlo (MC) methods have become very popular in signal processing during the past decades. The adaptive rejection sampling (ARS) algorithms are well-known MC technique which draw efficiently independent samples from univariate target densities. The ARS schemes yield a sequence of proposal functions that converge toward the target, so that the probability of accepting a sample approaches one. However, sampling from the proposal pdf becomes more computationally demanding each time it is updated. We propose the Parsimonious Adaptive Rejection Sampling (PARS) method, where an efficient trade-off between acceptance rate and proposal complexity is obtained. Thus, the resulting algorithm is faster than the standard ARS approach.
Category: Statistics
[1] viXra:1705.0037 [pdf] submitted on 2017-05-03 11:21:26
Authors: Ramesh Chandra Bagadi
Comments: 2 Pages.
In this research investigation, the author has presented a Recursive Past Equation. Also, a Recursive Future Equation is presented.
Category: Statistics