Zobrazeno 1 - 10
of 81
pro vyhledávání: '"AAMIR SANAULLAH"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Well-known continuous distributions such as Beta and Kumaraswamy distribution are useful for modeling the datasets which are based on unit interval [0,1]. But every distribution is not always useful for all types of data sets, rather it depe
Externí odkaz:
https://doaj.org/article/9fe11d13267444b0a4d6f9e0ed9b59b8
Publikováno v:
AIMS Mathematics, Vol 8, Iss 12, Pp 30075-30101 (2023)
Statistical process control is a procedure of quality control that is widely used in industrial processes to enable monitoring by using statistical techniques. All production processes are faced with natural and unnatural variations. To maintain the
Externí odkaz:
https://doaj.org/article/225f3d93a9214c7a8df89ecae37df0d7
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract This study introduces a pioneering scrambling response model tailored for handling sensitive variables. Subsequently, a generalized estimator for variance estimation, relying on two auxiliary information sources, is developed following this
Externí odkaz:
https://doaj.org/article/8ecc68b52df847f99cf59ad2430ac507
Autor:
Aamir Majeed Chaudhary, Aamir Sanaullah, Muhammad Hanif, Mohammad M. A. Almazah, Nafisa A. Albasheir, Fuad S. Al-Duais
Publikováno v:
Mathematics, Vol 11, Iss 19, p 4157 (2023)
The control chart is a fundamental tool in statistical process control (SPC), widely employed in manufacturing and construction industries for process monitoring with the primary objective of maintaining quality standards and improving operational ef
Externí odkaz:
https://doaj.org/article/d1b6ab92a2274f8c93592ff24b2afd41
Publikováno v:
AIMS Mathematics, Vol 6, Iss 1, Pp 737-753 (2021)
We introduce two-exponential shrinkage estimator using two stage two phase sampling for estimating population mean of study variable. Some properties of the proposed two-exponential shrinkage estimator are presented. The mathematical comparison in te
Externí odkaz:
https://doaj.org/article/177501087db340e69cced09ea271d73e
Publikováno v:
Mathematics, Vol 11, Iss 6, p 1312 (2023)
To gain insight into various phenomena of interest, cumulative distribution functions (CDFs) can be used to analyze survey data. The purpose of this study was to present an efficient ratiocum-exponential estimator for estimating a population CDF usin
Externí odkaz:
https://doaj.org/article/4d2144cae6d74c5f964ffb058cf93741
Autor:
Aamir Sanaullah, Muhammad Hanif
Publikováno v:
Journal of Statistical Theory and Applications (JSTA), Vol 19, Iss 2 (2020)
In this paper some generalized exponential-type chain estimators have been proposed for the finite population mean in the presence of nonresponse under stratified two-phase sampling when mean of another auxiliary variable is readily available. The ex
Externí odkaz:
https://doaj.org/article/11658d7e83bd43d9bd90932d9eed6672
Publikováno v:
Journal of King Saud University: Science, Vol 30, Iss 2, Pp 223-228 (2018)
In this study we have proposed a multivariate regression-cum-exponential type estimator for estimating a vector of population variance. In the present study, unknown population variance vector estimation has been discussed using multi-auxiliary varia
Externí odkaz:
https://doaj.org/article/b5e47df28dcd4953b57b57992147c024
Publikováno v:
Journal of Statistical Computation and Simulation. :1-23
Publikováno v:
Journal of Statistical Computation and Simulation. 93:800-817