Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Arabin Kumar Dey"'
Publikováno v:
Water Resources Management. 35:3395-3410
Inevitable issues concerning the sustainability of groundwater resources are crucial under the present climatic situation. Therefore, the prevision of groundwater environments may able to reinforce the management system. In this respect present study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a166ac75f29428c43a9df812308697b7
https://doi.org/10.1007/s11269-021-02899-z
https://doi.org/10.1007/s11269-021-02899-z
Publikováno v:
Annals of Data Science
In this paper, we show an innovative way to construct bootstrap confidence interval of a signal estimated based on a univariate LSTM model. We take three different types of bootstrap methods for dependent set up. We prescribe some useful suggestions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b79b639aaa94c502bd06c657553899f0
http://arxiv.org/abs/2007.00254
http://arxiv.org/abs/2007.00254
Publikováno v:
Communications in Statistics: Case Studies, Data Analysis and Applications. 4:57-68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6e66b358c583e835036d6237a54ac5a
https://doi.org/10.1080/23737484.2018.1482479
https://doi.org/10.1080/23737484.2018.1482479
In this article we provide a formulation of empirical bayes described by Atchade (2011) to tune the hyperparameters of priors used in bayesian set up of collaborative filter. We implement the same in MovieLens small dataset. We see that it can be use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7ff57a8c95e70d150f1635ba3faf490
http://arxiv.org/abs/1707.02294
http://arxiv.org/abs/1707.02294
Autor:
Biplab Paul, Arabin Kumar Dey
Recently, Asimit et al. have used an EM algorithm to estimate the parameters of Marshall–Olkin bivariate Pareto distribution with location and scale. The distribution has seven parameters. We describe different other variations of the EM algorithm.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::357a76474b76dc691e18ca8cc16e8c32
Autor:
Debasis Kundu, Arabin Kumar Dey
Publikováno v:
Statistics. 46:197-214
Log-normal and Weibull distributions are the two most popular distributions for analysing lifetime data. In this paper, we consider the problem of discriminating between the two distribution functions. It is assumed that the data are coming either fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69eed663d4bc6751a262e1c310e822b6
https://doi.org/10.1080/02331888.2010.504990
https://doi.org/10.1080/02331888.2010.504990
Autor:
Arabin Kumar Dey, Debasis Kundu
Publikováno v:
Communications in Statistics - Theory and Methods. 39:280-292
Log-normal and log-logistic distributions are often used to analyze lifetime data. For certain ranges of the parameters, the shape of the probability density functions or the hazard functions can be very similar in nature. It might be very difficult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d375984d29ac1e5ec19ee259efcc236
https://doi.org/10.1080/03610920902737100
https://doi.org/10.1080/03610920902737100
Autor:
Arabin Kumar Dey, Debasis Kundu
Publikováno v:
IEEE Transactions on Reliability. 58:416-424
We consider model selection and discrimination among three important lifetime distributions. These three distributions have been used quite effectively to analyze lifetime data. We study the probability of correct selection using the maximized likeli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9083c3a34f6b5467b15002ab414b568
https://doi.org/10.1109/tr.2009.2019494
https://doi.org/10.1109/tr.2009.2019494
Autor:
Arabin Kumar Dey, Debasis Kundu
Publikováno v:
Computational Statistics & Data Analysis. 53:956-965
In this paper we consider the Marshall-Olkin bivariate Weibull distribution. The Marshall-Olkin bivariate Weibull distribution is a singular distribution, whose both the marginals are univariate Weibull distributions. This is a generalization of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::411c38f6c1fb8100ecfe8f900a44cab1
https://doi.org/10.1016/j.csda.2008.11.009
https://doi.org/10.1016/j.csda.2008.11.009