Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tanmay Kayal"'
Publikováno v:
IEEE Access, Vol 12, Pp 82333-82353 (2024)
Amid rapid urbanization in Kolkata, a city in India, forecasting air pollution, particularly PM2.5 concentrations, stands as a critical challenge. In response, this study introduces a novel approach harnessing a hybrid data processing component that
Externí odkaz:
https://doaj.org/article/1c8b2ea595574318818d277e79d7c3ff
Publikováno v:
Statistics, Optimization & Information Computing. 10:627-642
In this paper we study the problem of estimating unknown parameters of a two-parameter distribution with bathtub shape under the assumption that data are type I progressive hybrid censored. We derive maximum likelihood estimators and then obtain the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c256bbf33c58182bea26229283a1caf9
https://doi.org/10.19139/soic-2310-5070-486
https://doi.org/10.19139/soic-2310-5070-486
Publikováno v:
Sankhya B. 84:364-401
Reliability inference in a multicomponent stress-strength (MSS) model is studied when components are exposed to a specific random stress. Stress and strength variables are assumed to follow inverse Weibull distributions with different scale and same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48e19701440b933dba851c26d22bb1d1
https://doi.org/10.1007/s13571-021-00263-0
https://doi.org/10.1007/s13571-021-00263-0
Publikováno v:
Communications in Statistics - Theory and Methods. 49:2429-2447
In this article, we obtain point and interval estimates of multicomponent stress-strength reliability model of an s-out-of-j system using classical and Bayesian approaches by assuming both stress a...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cefd594715469ef36cf7fbb15b8912c
https://doi.org/10.1080/03610926.2019.1576886
https://doi.org/10.1080/03610926.2019.1576886
Publikováno v:
American Journal of Mathematical and Management Sciences. 37:188-208
In this article, we consider estimation of the unknown parameters of a weighted exponential distribution under Type II progressive censoring with binomial removals, where the number of units remove...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::debe8aaa599e1a1d04f9ae3577fc30e9
https://doi.org/10.1080/01966324.2017.1395375
https://doi.org/10.1080/01966324.2017.1395375
Estimation and prediction for an inverted exponentiated Rayleigh distribution under hybrid censoring
Publikováno v:
Communications in Statistics - Theory and Methods. 47:1615-1640
In this paper we consider estimation of unknown parameters of an inverted exponentiated Rayleigh distribution when it is known that data are hybrid Type I censored. The maximum likelihood and Bayes...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc322d3a48b08802aa61ade1be577160
https://doi.org/10.1080/03610926.2017.1322702
https://doi.org/10.1080/03610926.2017.1322702
Publikováno v:
Annals of Data Science. 5:235-258
This article addresses the different methods of estimation of the probability density function and the cumulative distribution function for the Gompertz distribution. Following estimation methods are considered: maximum likelihood estimators, uniform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef914023564a6226be7314b5a5893c91
https://doi.org/10.1007/s40745-017-0126-z
https://doi.org/10.1007/s40745-017-0126-z
Publikováno v:
Communications in Statistics - Simulation and Computation. 46:7447-7465
We consider estimation of unknown parameters of a Burr XII distribution based on progressively Type I hybrid censored data. The maximum likelihood estimates are obtained using an expectation maximization algorithm. Asymptotic interval estimates are c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b990d60ecaba17385b0209865c99761
https://doi.org/10.1080/03610918.2016.1241405
https://doi.org/10.1080/03610918.2016.1241405
Publikováno v:
International Journal of System Assurance Engineering and Management. 8:1282-1296
This article addresses the different methods of estimation of the probability density function and the cumulative distribution function for the exponentiated moment exponential distribution. Following estimation methods are considered: uniformly mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::021e3f1ccfb080efdf650df0cf6acb31
https://doi.org/10.1007/s13198-017-0599-3
https://doi.org/10.1007/s13198-017-0599-3
Publikováno v:
Journal of Statistical Theory and Practice. 13
We consider estimation and prediction for the two-parameter Chen distribution on the basis of progressive first failure censoring. The classical estimates of parameters are obtained. In particular, the least square estimation is considered. Further B
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7da784411a2e5f778f767751c853a7eb
https://doi.org/10.1007/s42519-019-0052-9
https://doi.org/10.1007/s42519-019-0052-9