Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Masoud M Nasari"'
Autor:
Masoud M Nasari, Mohamedou Ould-Haye
Publikováno v:
Statistical Papers. 63:1187-1220
In this paper an easy to implement method of stochastically weighing short and long-memory linear processes is introduced. The method renders asymptotically exact size confidence intervals for the population mean which are significantly more accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c532b30e2f8605d3c49df65346e6ead2
https://doi.org/10.1007/s00362-021-01265-w
https://doi.org/10.1007/s00362-021-01265-w
Autor:
Masoud M Nasari, Mohamedou Ould-Haye
We introduce an estimation method for the scaled skewness coefficient of the sample mean of short and long memory linear processes. This method can be extended to estimate higher moments such as Kurtosis coefficient of the sample mean. Also a general
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74704d985e2299ece0d3bd1db704942b
Autor:
Michael Jerrett, Mohammad H. Forouzanfar, Sun-Young Kim, Hong Chen, Neal Fann, Susan M. Gapstur, Dan L. Crouse, David M. Stieb, W. Ryan Diver, C. Arden Pope, Bryan Hubbell, Richard T. Burnett, Daniel Krewski, Masoud M. Nasari, Casey Olives, Michelle C. Turner, Aaron Cohen, Mieczyslaw Szyszkowicz
Publikováno v:
Air Quality, Atmosphere, & Health
The effectiveness of regulatory actions designed to improve air quality is often assessed by predicting changes in public health resulting from their implementation. Risk of premature mortality from long-term exposure to ambient air pollution is the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5bcb5c4783d7483ab34bd4fd36e4fe5
https://doi.org/10.1007/s11869-016-0398-z
https://doi.org/10.1007/s11869-016-0398-z
Autor:
Masoud M Nasari, Miklós Csörg
Publikováno v:
Journal of Multivariate Analysis. 121:176-192
This paper is mainly concerned with asymptotic studies of weighted bootstrap for u- and v-statistics. We derive the consistency of the weighted bootstrap u- and v-statistics, based on i.i.d. and non i.i.d. observations from some more general results
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37c0323d67fc56d85d3d46d588a5d5c5
https://doi.org/10.1016/j.jmva.2013.07.008
https://doi.org/10.1016/j.jmva.2013.07.008
Autor:
Masoud M Nasari
Publikováno v:
Statistics & Probability Letters. 82:1208-1217
In this exposition we investigate almost sure convergence for weighted U -statistics. This strong law of large numbers is established for a class of divergent series of non-negative weights when the product of the kernel of the underlying weighted U
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b14b5d07b644f01d04be9722a5ca916b
https://doi.org/10.1016/j.spl.2012.03.010
https://doi.org/10.1016/j.spl.2012.03.010
Autor:
Masoud M Nasari
Publikováno v:
Statistics & Probability Letters. 79:1528-1535
This paper investigates weak convergence of U -statistics via approximation in probability. The classical condition that the second moment of the kernel of the underlying U -statistic exists is relaxed to having 4 3 moments only (modulo a logarithmic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a7ba902c9299b0bbf155ebc0531237e
https://doi.org/10.1016/j.spl.2009.03.013
https://doi.org/10.1016/j.spl.2009.03.013
Autor:
Richard T. Burnett, Mieczyslaw Szyszkowicz, Amir Hakami, Amanda Pappin, Philip Blagden, Masoud M. Nasari
Publikováno v:
ISEE Conference Abstracts. 2015
Introduction: Estimating the health benefits of emission controls depends on the magnitude and shape of the concentration-response function (CRF). Recent findings of a concave CRF between mortality...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::daabeb9e587f725166972a295c44d4f3
https://doi.org/10.1289/isee.2015.2015-2803
https://doi.org/10.1289/isee.2015.2015-2803
Autor:
Miklós Csörgő, Masoud M. Nasari
Publikováno v:
Electron. J. Statist. 9, no. 1 (2015), 535-566
In this paper we introduce randomized $t$-type statistics that will be referred to as randomized pivots. We show that these randomized pivots yield central limit theorems with a significantly smaller magnitude of error as compared to that of their cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53093fe27e069c3d57eaaf02821e8210
https://doi.org/10.1214/15-ejs1011
https://doi.org/10.1214/15-ejs1011
Autor:
Masoud M. Nasari
Publikováno v:
Braz. J. Probab. Stat. 28, no. 1 (2014), 24-60
In this article, we employ the jackknife method of estimation and the concept of Studentized $U$-statistics to derive a new weak convergence result for nondegenerate $U$-statistics on the space $D[0,1]$. We drop the classical condition that the secon
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17c50b002f7c3ae2281c2e0982eafd95
https://doi.org/10.1214/12-bjps192
https://doi.org/10.1214/12-bjps192
Publikováno v:
Bernoulli 23, no. 4A (2017), 2558-2586
In this paper we introduce randomized pivots for the means of short and long memory linear processes. We show that, under the same conditions, these pivots converge in distribution to the same limit as that of their classical non-randomized counterpa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c6d848517d0f53c59e3a1bdecc11de6
http://arxiv.org/abs/1309.4158
http://arxiv.org/abs/1309.4158