Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Suparna Basu"'
Autor:
Suparna Basu, Debasis Kundu
Model misspecification can be a serious issue in any lifetime data analysis. Assumption of the correct model is very important particularly in prediction for future observations and for estimating the tail probabilities of any lifetime distribution.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82bd9f7975bdc8153b1e4c5e70b20d52
https://doi.org/10.21203/rs.3.rs-1912006/v1
https://doi.org/10.21203/rs.3.rs-1912006/v1
Publikováno v:
Journal of Data Science. 14:539-552
This paper aims to propose a suitable statistical model for the age distribution of prostate cancer detection. Descriptive studies suggest the onset of prostate cancer after 37 years of age with maximum diagnosis age at around 70 years. The major def
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de57b12256ca1ed85bf5ba07aaf6ebe0
https://doi.org/10.6339/jds.201607_14(3).0009
https://doi.org/10.6339/jds.201607_14(3).0009
Publikováno v:
Macromolecular Bioscience. 23:2370005
Nanofibrous microspheres (NFM) are emerging as prominent next-generation biomimetic injectable scaffold system for stem cell delivery and different tissue regeneration where nanofibrous topography facilitates ECM-like stem cells niches. Addition of o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e16a84506cb2dc40b4710e1b21dc7c15
https://doi.org/10.1002/mabi.202370005
https://doi.org/10.1002/mabi.202370005
Publikováno v:
Methodology and Computing in Applied Probability. 21:1377-1394
This article presents different estimation procedure for inverse Lindley distribution for Type-I hybrid censored data. We have obtained the parameter estimate under both the classical and Bayesian paradigm. In the classical set up, method of Maximum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b68115d55c55887479f73b331eddf62
https://doi.org/10.1007/s11009-018-9676-6
https://doi.org/10.1007/s11009-018-9676-6
Bayesian inference using product of spacings function for Progressive hybrid Type-I censoring scheme
Publikováno v:
Statistics. 52:345-363
This article is devoted to the development of product of spacings estimator for a Progressive hybrid Type-I censoring scheme with binomial removals. The experimental units are assumed to follow inv...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd2427fb032ae9d7d5723a96109d295d
https://doi.org/10.1080/02331888.2017.1405419
https://doi.org/10.1080/02331888.2017.1405419
Autor:
Taishiro Kishimoto, Suparna Basu, John M. Kane, Sohag Sanghani, Joshua Morris, Akeem N. Marsh, Mark J. Russ, Majnu John
Publikováno v:
International Clinical Psychopharmacology. 32:161-168
Studies have examined the differences in sociodemographic/clinical characteristics between patients on long-acting injectable (LAI) versus oral medications. However, most studies did not focus specifically on patients for whom LAIs would clearly be i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29903a149f06391227bd4812676fb242
https://doi.org/10.1097/yic.0000000000000165
https://doi.org/10.1097/yic.0000000000000165
Publikováno v:
Computational Statistics. 32:367-385
In life testing experiments, Type-I censoring scheme has been widely used due to its simplicity and poise with considerable gain in the completion time of an experiment. This article deals with the parameter estimation of inverse Lindley distribution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68c9b1ce521c980ec1be65958339d22a
https://doi.org/10.1007/s00180-016-0704-0
https://doi.org/10.1007/s00180-016-0704-0
Autor:
Apurba Ghosh, Suparna Basu, Monjori Mitra, Nisha Bhattacharya, Suparna Chatterjee, Nitin Shah, Iqbal R Kaur
Publikováno v:
Human Vaccines & Immunotherapeutics. 12:939-945
Vi polysaccharide typhoid vaccines cannot be used in children
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb0233adf3f696d412c49b82cf627166
https://doi.org/10.1080/21645515.2015.1117715
https://doi.org/10.1080/21645515.2015.1117715