Results 21 to 30 of about 3,117,785 (309)

Three Dimensional Change Detection Using Point Clouds: A Review [PDF]

open access: yes, 2022
Change detection is an important step for the characterization of object dynamics at the earth’s surface. In multi-temporal point clouds, the main challenge is to detect true changes at different granularities in a scene subject to significant ...
Kharroubi, Abderrazzaq   +9 more
core   +1 more source

Estimation of Change-Point Models

open access: yesJournal of Mathematical Sciences, 2022
We consider the testing and estimation of change-points, locations where the distribution abruptly changes, in a sequence of observations. Motivated by this problem, in this contribution we first investigate the extremes of Gaussian fields with trend which then help us give asymptotic p-value approximations of the likelihood ratio statistics from ...
openaire   +2 more sources

Fréchet change-point detection [PDF]

open access: yesThe Annals of Statistics, 2020
We propose a method to infer the presence and location of change-points in the distribution of a sequence of independent data taking values in a general metric space, where change-points are viewed as locations at which the distribution of the data sequence changes abruptly in terms of either its Fréchet mean or Fréchet variance or both.
Dubey, Paromita, Müller, Hans-Georg
openaire   +4 more sources

m-Consecutive-k-out-of-n: F Structures with a Single Change Point

open access: yesMathematics, 2020
In the present article, we introduce the m-consecutive-k-out-of-n:F structures with a single change point. The aforementioned system consists of n independent components, of which the first n1 units are identically distributed with common reliability p1,
Ioannis S. Triantafyllou
doaj   +1 more source

Implied distributions in multiple change point problems [PDF]

open access: yes, 2011
A method for efficiently calculating exact marginal, conditional and joint distributions for change points defined by general finite state Hidden Markov Models is proposed.
Aston, John A. D.   +5 more
core   +1 more source

Changing Pattern of Water Level Trends in Eurasian Endorheic Lakes as a Response to the Recent Climate Variability

open access: yesRemote Sensing, 2021
Lake level is a sensitive integral indicator of climate change on regional scales, especially in enclosed endorheic basins. Eurasia contains the largest endorheic zone with several large terminal lakes, whose water levels recently underwent remarkable ...
Xin Zhang   +2 more
doaj   +1 more source

An empirical study on assessment of trend analysis: Food grain production in India [PDF]

open access: yesJournal of Agricultural Sciences (Belgrade), 2023
Considering the importance of the food grains to be specified-rice, wheat, coarse cereals, and pulses-is vital in developing the Indian economy. This paper carries out change point detection and trend analysis for the annual historical series of food ...
Polisetty Kalpana   +3 more
doaj   +1 more source

Does Biochar Addition Influence the Change Points of Soil Phosphorus Leaching?

open access: yesJournal of Integrative Agriculture, 2014
Phosphorus change point indicating the threshold related to P leaching, largely depends on soil properties. Increasing data have shown that biochar addition can improve soil retention capacity of ions.
Xiao-rong ZHAO   +3 more
doaj   +1 more source

Testing effort based software reliability assessment incorporating FRF and change point [PDF]

open access: yesYugoslav Journal of Operations Research, 2020
In today's World, to meet the demand of high quality and reliable software systems, it is imperative to perform comprehensive testing and debugging of the software code. The fault detection and removal rate may change over time.
Arora Rajat, Aggarwal Anu G.
doaj   +1 more source

Detecting Structural Change Point in ARMA Models via Neural Network Regression and LSCUSUM Methods

open access: yesEntropy, 2023
This study considers the change point testing problem in autoregressive moving average (ARMA) (p,q) models through the location and scale-based cumulative sum (LSCUSUM) method combined with neural network regression (NNR).
Xi-hame Ri, Zhanshou Chen, Yan Liang
doaj   +1 more source

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