Results 21 to 30 of about 10,617,293 (333)
Estimation of Change-Point Models
Journal 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 ...
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An empirical study on assessment of trend analysis: Food grain production in India [PDF]
Journal 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
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Testing effort based software reliability assessment incorporating FRF and change point [PDF]
Yugoslav 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.
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Does Biochar Addition Influence the Change Points of Soil Phosphorus Leaching?
Journal 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
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Remote 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
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Dirichlet Process Hidden Markov Multiple Change-point Model [PDF]
, 2014 This paper proposes a new Bayesian multiple change-point model which is based on the hidden Markov approach. The Dirichlet process hidden Markov model does not require the specification of the number of change-points a priori.
Chong, Terence T. L. +2 more
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Sequential subspace change point detection [PDF]
Sequential Analysis, 2020 We consider the online monitoring of multivariate streaming data for changes that are characterized by an unknown subspace structure manifested in the covariance matrix. In particular, we consider the covariance structure changes from an identity matrix to an unknown spiked covariance model.
Liyan Xie +2 more
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Sparse Change-Point VAR models
SSRN Electronic Journal, 2019 AbstractChange‐point (CP) VAR models face a dimensionality curse due to the proliferation of parameters that arises when new breaks are detected. We introduce the Sparse CP‐VAR model which determines which parameters truly vary when a break is detected.
Arnaud Dufays +3 more
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A New Estimator Based on Likelihood Function for Drift Time of Change in Poisson Rate Parameter [PDF]
International Journal of Research in Industrial Engineering, 2014 Although a control chart can signal an out-of-control state in a process, but it does not always indicate when the process change has begun. Identifying the real time of the change in the process, called the change point, is very important for ...
R. Hosseiny +2 more
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Change Point Estimation in Panel Data without Boundary Issue
Risks, 2017 Panel data of our interest consist of a moderate number of panels, while the panels contain a small number of observations. An estimator of common breaks in panel means without a boundary issue for this kind of scenario is proposed.
Barbora Peštová, Michal Pešta
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