Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Garib Nath Singh"'
Publikováno v:
Heliyon, Vol 10, Iss 18, Pp e37232- (2024)
In the present work, we have proposed a novel general class of estimators for the estimation of population distribution function in two distinct situations of non-response. The estimation of distribution function (DF) may play an important role in en
Externí odkaz:
https://doaj.org/article/236174c2bb254250bb40b4d1495d7c82
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 3, Pp 101910- (2023)
In the present work, we have proposed the calibrated estimator of population mean in the presence of unit non response. The non response has been adjusted using the non response adjustment factor depending on different models (which are inverse linea
Externí odkaz:
https://doaj.org/article/3caaf581ac334dfa99afac9121b0a3a0
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 4, Pp 4051-4061 (2021)
In sample surveys, when we need information regarding rare sensitive issues which people often do not prefer to share with others. In such situations this is also awkward for interviewers to ask the direct questions related to confidential and privat
Externí odkaz:
https://doaj.org/article/11e3590453f0414c85000ca01675368b
Autor:
Garib Nath Singh, Mahamood Usman
Publikováno v:
Ain Shams Engineering Journal, Vol 12, Iss 3, Pp 3109-3119 (2021)
This paper addresses the problem of estimation of the population distribution function in the presence of non response which may be useful for data analysis in socio-economic surveys. We have proposed some enhanced difference and ratio type estimator
Externí odkaz:
https://doaj.org/article/457b2287e14143368077eff5afea447f
Publikováno v:
IEEE Access, Vol 9, Pp 161555-161564 (2021)
Controlling and improving quality is a major business strategy for various organizations. A company gains an advantage over its competitors by maintaining a high level of quality for products or services and pleasing its customers or clients. Control
Externí odkaz:
https://doaj.org/article/5e7b75a621dc4abab7879acef360fc4e
Autor:
Garib Nath Singh, Mohd Khalid
Publikováno v:
Statistica, Vol 75, Iss 4, Pp 379-389 (2015)
The present work suggests, some estimation procedures of population mean in two phase sampling. Chain-type exponential dual to ratio and regression estimators have been proposed and their properties are explained. Cost aspects of the suggested estima
Externí odkaz:
https://doaj.org/article/e58c764ffb4e4d6d8ff3556791d2f812
Autor:
Garib Nath Singh, Alok Kumar Singh
Publikováno v:
Statistica, Vol 74, Iss 4, Pp 417-430 (2014)
The goal of this paper is to consider the problem of estimation of the population mean on current (second) occasion in two-occasion successive sampling. Some classes of estimators have been proposed and their detailed behaviours are examined. The dom
Externí odkaz:
https://doaj.org/article/86c2f05620e8482388cf5dde82ef792b
Publikováno v:
Statistica, Vol 74, Iss 3, Pp 295-313 (2014)
This paper deals with the estimation of current population mean under non-response in two-occasion successive sampling. Information on a dynamic auxiliary variable has been used and efficient estimation procedures have been suggested which are capabl
Externí odkaz:
https://doaj.org/article/b3c5f80991d847e5a79aef4b7cea2700
Publikováno v:
Journal of Statistics Applications & Probability Letters. 9:125-133
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5471fd434a11d733d4c25b96e27c9be2
https://doi.org/10.18576/jsap/090302
https://doi.org/10.18576/jsap/090302
Publikováno v:
Alexandria Engineering Journal, Vol 60, Iss 6, Pp 5977-5990 (2021)
The treatment of incomplete data is an important step in statistical data analysis of most survey datasets. Missing values creates a boisterous situation for the survey researchers in producing the precise estimate of the desired population parameter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b492247d6a00c3109ce223a102e7d70f
https://doi.org/10.1016/j.aej.2021.04.053
https://doi.org/10.1016/j.aej.2021.04.053