Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Hassen A. Muttlak"'
Ranked Set Sampling is one of the new areas of study in this region of the world and is a growing subject of research. Recently, researchers have paid attention to the development of the types of sampling; though it was not welcome in the beginning,
Autor:
Syed S. Hossain, Hassen A. Muttlak
Publikováno v:
Statistica, Vol 66, Iss 4, Pp 415-434 (2008)
In this paper, some test procedures for scale parameters of exponential and rectangular distributions involving the median ranked set sampling (MRSS) method are discussed. The necessary tables for the critical regions for the suggested tests are supp
Externí odkaz:
https://doaj.org/article/61d144191cfc4f00be747d56298f4ba5
Autor:
A.-B Shaibu, Hassen A. Muttlak
Publikováno v:
Statistica, Vol 64, Iss 1, Pp 75-98 (2007)
In this paper, we propose maximum likelihood estimators (mle’s) as well as linear unbiased estimators (lue’s) of the parameters of the normal, exponential and gamma distributions in the light of the location-scale family of distributions - i.e. d
Externí odkaz:
https://doaj.org/article/7127b5cf0ca24ca895bfcad6f9bb97b8
Publikováno v:
Journal of Statistical Computation and Simulation. 82:1501-1516
In this study, we consider the application of the James–Stein estimator for population means from a class of arbitrary populations based on ranked set sample (RSS). We consider a basis for optimally combining sample information from several data so
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::604dffb731bd415d356458f0f53fd159
https://doi.org/10.1080/00949655.2011.583248
https://doi.org/10.1080/00949655.2011.583248
Publikováno v:
Computational Statistics. 28:1169-1194
Ranked set sampling (RSS) is a technique for incorporating auxiliary (concomitant) information into estimation and testing procedures right at the design stage. In this paper, we propose group sequential testing procedures for comparing two treatment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d90dcc0ea6e1b2708dbe6e13c03272e8
https://doi.org/10.1007/s00180-012-0347-8
https://doi.org/10.1007/s00180-012-0347-8
Publikováno v:
Statistical Papers. 54:547-562
Ranked set sampling (RSS) schemes were originally proposed to increase efficiency in estimation. On the other hand, group sequential methods provide substantial savings in sample and enable us to make decisions as early as possible. In this manuscrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6946866f330692e8ffb3e589fbae5a2
https://doi.org/10.1007/s00362-012-0448-z
https://doi.org/10.1007/s00362-012-0448-z
Publikováno v:
Arabian Journal for Science and Engineering. 36:1125-1138
The purpose of this article is two-fold. First, we consider the ranked set sampling (RSS) estimation and testing hypothesis for the parameter of interest (population mean). Then, we suggest some alternative estimation strategies for the mean paramete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f0bfa4ec20f245362045848b291524d
https://doi.org/10.1007/s13369-011-0106-0
https://doi.org/10.1007/s13369-011-0106-0
Publikováno v:
Journal of Statistical Computation and Simulation. 81:391-409
Different confidence intervals (CI) will be constructed for the location and scale parameters of the logistic distribution by assuming that one of them is known. The maximum likelihood estimator and several different pivots will be used to construct
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0a2c67e7a6e14055e87abe6f296fc9f
https://doi.org/10.1080/00949650903379572
https://doi.org/10.1080/00949650903379572
Publikováno v:
Journal of Statistical Computation and Simulation. 80:1185-1196
In this article, we consider the median ranked set sampling estimation and test of hypothesis for the mean for symmetric distributions. We suggest some alternative estimation strategies for parameters based on shrinkage and pretest principles. It is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78fa5d4e1983748aab47e499f2b0f99f
https://doi.org/10.1080/00949650903008585
https://doi.org/10.1080/00949650903008585
Publikováno v:
Communications in Statistics - Theory and Methods. 39:1855-1868
The problem of making statistical inference about θ =P(X > Y) has been under great investigation in the literature using simple random sampling (SRS) data. This problem arises naturally in the area of reliability for a system with strength X and str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56c9475a9828270dde1755487cdbf9d3
https://doi.org/10.1080/03610920902912976
https://doi.org/10.1080/03610920902912976