Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Jayaram Sethuraman"'
Publikováno v:
Technometrics. 56:359-371
Multiple event censoring occurs when the censoring mechanism depends on preceding observations. This arises naturally in load-sharing systems when component failure under increased load can initiate a series of component failures due to load transfer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2402f3f49a332691634c66f5f0299007
https://doi.org/10.1080/00401706.2013.831995
https://doi.org/10.1080/00401706.2013.831995
Autor:
Fred W. Huffer, Jayaram Sethuraman
Publikováno v:
J. Appl. Probab. 49, no. 3 (2012), 758-772
An infinite sequence (Y 1, Y 2,…) of independent Bernoulli random variables with P(Y i = 1) = a / (a + b + i - 1), i = 1, 2,…, where a > 0 and b ≥ 0, will be called a Bern(a, b) sequence. Consider the counts Z 1, Z 2, Z 3,… of occurrences of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04b19348f0acd66e31543b84244fe4e1
https://doi.org/10.1017/s0021900200009529
https://doi.org/10.1017/s0021900200009529
Publikováno v:
Sankhya A. 74:269-276
We show that in a Polish space if {Pn} is a sequence of probability measures then the existence of \(\displaystyle \lim_n \int f dP_n\) for every bounded continuous function guarantees the existence of a probability P such that Pn converges weakly to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1adc7f62d81316c67529099ac8f4b8e5
https://doi.org/10.1007/s13171-012-0016-6
https://doi.org/10.1007/s13171-012-0016-6
Autor:
Myles Hollander, Jayaram Sethuraman
Publikováno v:
Journal of Statistical Planning and Inference. 139:1722-1733
Consider a sequence of dependent random variables X 1 , X 2 , … , X n , where X 1 has distribution F (or probability measure P), and the distribution of X i + 1 given X 1 , … , X i and other covariates and environmental factors depends on F and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd14aa872258f5d2ee299dfd796dd072
https://doi.org/10.1016/j.jspi.2008.05.043
https://doi.org/10.1016/j.jspi.2008.05.043
Autor:
Jayaram Sethuraman, Myles Hollander
Statistical methods are useful in obtaining information about the unknown state of nature or the ‘parameter’ as it is usually referred to in the literature. A statistician collects suitable data whose distribution depends on the unknown parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa35d41a39e2606669b4a4107dadccbc
https://doi.org/10.1016/b978-0-08-097086-8.42155-0
https://doi.org/10.1016/b978-0-08-097086-8.42155-0
Autor:
Jayaram Sethuraman, Myles Hollander
From its early beginnings in the early 1900s, nonparametric statistics has been an active area that has stimulated elegant statistical theory and beautiful applications. Its development continues at a vigorous pace today. There are many reasons for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3671960f2318c72f4419a957e1e8d99
https://doi.org/10.1016/b978-0-08-097086-8.42157-4
https://doi.org/10.1016/b978-0-08-097086-8.42157-4
Publikováno v:
Statistics & Probability Letters. 72:153-162
We present two results that pertain to the choosing of the centering distribution in a Bayesian setup with a Dirichlet process mixture prior based on Gaussian kernels. Our results indicate that for such kernels, one can choose the centering measure f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecebfb12b19f4ba00e62a8b9aca0ec37
https://doi.org/10.1016/j.spl.2004.12.008
https://doi.org/10.1016/j.spl.2004.12.008
Autor:
Jayaram Sethuraman
Publikováno v:
Communications in Statistics - Theory and Methods. 33:2003-2013
We consider inference problems in two parametric families where estimators which are super-efficient relative to the maximum likelihood estimator (mle) exist. We examine whether tests based on these super-efficient estimators perform better than the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::475a3dc027173494003958a163173c1a
https://doi.org/10.1081/sta-200026561
https://doi.org/10.1081/sta-200026561
Publikováno v:
Wiley StatsRef: Statistics Reference Online.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa4c50564a395b44ee5bd45f603fe8ff
https://doi.org/10.1002/9781118445112.stat04161
https://doi.org/10.1002/9781118445112.stat04161
Autor:
Jayaram Sethuraman, N. Rao Chaganty
Publikováno v:
Statistics & Probability Letters. 34:245-250
In this paper we derive the exact Bahadur slope of the t -statistic based on a random sample from a contaminated normal distribution, using some results in large deviation theory. We also present a table of exact Bahadur slopes at various alternative
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::465aaca3d3dd24e6f8e0fba4252f282c
https://doi.org/10.1016/s0167-7152(96)00187-3
https://doi.org/10.1016/s0167-7152(96)00187-3