Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Sudeep R. Bapat"'
Publikováno v:
Mathematics, Vol 12, Iss 11, p 1744 (2024)
Moments of order statistics (OSs) characterize the Weibull–geometric and half-logistic families of distributions, of which the extended exponential–geometric (EEG) distribution is a particular case. The EEG distribution is used to create the log-
Externí odkaz:
https://doaj.org/article/d069263045724542acb74b3e1195ed96
Autor:
Sudeep R. Bapat
Publikováno v:
MethodsX, Vol 11, Iss , Pp 102353- (2023)
Capturing asymmetry among time series is an important area of research as it provides a range of information regarding the behaviour and distribution of the underlying series, which in turn proves to be useful for prediction. Classically, this can be
Externí odkaz:
https://doaj.org/article/4a03c97c56d7408db988e6c099c40b0d
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1122 (2023)
In this paper, a discrete one-parameter distribution called the semi-Poisson distribution is introduced, which is based on a set of non-negative integers. It is seen that this distribution captures over-dispersion and zero-inflation scenarios well. A
Externí odkaz:
https://doaj.org/article/893e6aa5896b491a89cdae5b7cd749b2
Autor:
Sudeep R Bapat
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0261441 (2021)
Estimating the contact angle of a virus infected saliva droplet is seen to be an important area of research as it presents an idea about the drying time of the respective droplet and in turn of the growth of the underlying pandemic. In this paper we
Externí odkaz:
https://doaj.org/article/5e3d6ea9973f47ce80c8fc5dc832845a
Publikováno v:
Stat. 12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49b1910aae76dac653fc497a02daa4ed
https://doi.org/10.1002/sta4.535
https://doi.org/10.1002/sta4.535
Autor:
Sudeep R. Bapat
Publikováno v:
Metrika.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d352d261a72df7189e88369d2cfd71f
https://doi.org/10.1007/s00184-022-00888-9
https://doi.org/10.1007/s00184-022-00888-9
Autor:
Neeraj Joshi, Sudeep R. Bapat
Publikováno v:
Sequential Analysis. 40:482-500
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84f6997dd6093900551b4090a220686f
https://doi.org/10.1080/07474946.2021.2010407
https://doi.org/10.1080/07474946.2021.2010407
Publikováno v:
Communications for Statistical Applications and Methods. 28:563-582
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::340e0c10101a30570983722bbe6e307e
https://doi.org/10.29220/csam.2021.28.5.563
https://doi.org/10.29220/csam.2021.28.5.563
Publikováno v:
Sankhya B. 84:402-420
This paper deals with developing sequential procedures for estimating the mean of an inverse Gaussian (IG) distribution when the population coefficient of variation (CV) is known. We consider the minimum risk and bounded risk point estimation problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c037c8dc6aeab88ca08e85954b5a6063
https://doi.org/10.1007/s13571-021-00266-x
https://doi.org/10.1007/s13571-021-00266-x
Autor:
Sudeep R. Bapat, Yan Zhuang
Publikováno v:
J Appl Stat
In this paper, we consider a two-stage sequential estimation procedure to estimate the parameters of a cumulative exposure model under an accelerated testing scenario. In particular, we focus on a step-stress model where the stress level changes afte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e57abbb4f1f1f26350c3a5db95b572e
https://doi.org/10.1080/02664763.2021.1944997
https://doi.org/10.1080/02664763.2021.1944997