Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Venkata K. Jandhyala"'
Publikováno v:
Frontiers in Environmental Science, Vol 6 (2018)
An understanding of low frequency climatic variations is important for climatologists and planning by the public for informed climate mitigation and adaptation. This study applies recent advances in statistical change-point methodology to the variabi
Externí odkaz:
https://doaj.org/article/963c77bf979d4590b035ab27aabf7261
Publikováno v:
Statistical Papers. 63:723-754
The aim of the article is to analyze inhomogeneous time series data caused by the presence of an unknown change point. We assume that the time series data are from a gamma distribution with an unknown time point of change in the scale and/or shape pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb03915215fe3e6cbbb1d636ea4e6ec5
https://doi.org/10.1007/s00362-021-01248-x
https://doi.org/10.1007/s00362-021-01248-x
Publikováno v:
Data Analysis and Applications 3. :177-194
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e1160b6d665c80f9297d706fa39e31a
https://doi.org/10.1002/9781119721871.ch9
https://doi.org/10.1002/9781119721871.ch9
Publikováno v:
Applied Stochastic Models in Business and Industry. 36:757-775
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::960d321ddf8e733998f51cd0341b13d0
https://doi.org/10.1002/asmb.2525
https://doi.org/10.1002/asmb.2525
Publikováno v:
Applied Stochastic Models in Business and Industry. 36:780-782
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::190e2103f35751d766905758920e293c
https://doi.org/10.1002/asmb.2576
https://doi.org/10.1002/asmb.2576
Publikováno v:
Data Analysis and Applications 3
The purpose of this study is to characterize multivariate generalized hyperbolic (MGH) distributions and their conditionals by considering the MGH as a subclass of the mean-variance mixing of the multivariate normal law. The essential contribution he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21747aa0c6cee34c0ebe55df8560830c
https://doi.org/10.1007/s13171-019-00173-4
https://doi.org/10.1007/s13171-019-00173-4
Publikováno v:
Electron. J. Statist. 15, no. 1 (2021), 71-134
We study a plug in least squares estimator for the change point parameter where change is in the mean of a high dimensional random vector under subgaussian or subexponential distributions. We obtain sufficient conditions under which this estimator po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e94d04c3105f71825931695324a35b56
https://projecteuclid.org/euclid.ejs/1609902187
https://projecteuclid.org/euclid.ejs/1609902187
Autor:
Yulia R. Gel, Venkata K. Jandhyala
Publikováno v:
Environmetrics. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fc6efd957000f4541cd267636c45166
https://doi.org/10.1002/env.2620
https://doi.org/10.1002/env.2620
Publikováno v:
Environmetrics. 31
The “Bayes‐type” method of deriving change‐point test statistics was introduced by Chernoff and Zacks (1964). Other authors subsequently adapted this approach and derived Bayes‐type statistics for at most one change (AMOC), and for multiple
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c3f8a2344fb9b6cf2c3d68b35396179
https://doi.org/10.1002/env.2593
https://doi.org/10.1002/env.2593
Autor:
Elena N. Naumova, Venkata K. Jandhyala
Publikováno v:
Environmetrics. 31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c6c0d96f3f2bd0d8c512be5d42031fc1
https://doi.org/10.1002/env.2577
https://doi.org/10.1002/env.2577