Process Monitoring for Gamma Distributed Product under Neutrosophic Statistics Using Resampling Scheme

نویسندگان

چکیده

In this article, a repetitive sampling control chart for the gamma distribution under indeterminate environment has been presented. The coefficients, probability of in-control, out-of-control, and average run lengths have determined assumption symmetrical property normal using neutrosophic interval method. performance designed evaluated length measurements different process settings an environment. In-control out-of-control nature proposed levels shifts described. comparison made with existing chart. A real-world example from healthcare department included practical application It observed simulation study real that is efficient in quick monitoring process. can be concluded applied effectively uncertainty.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Introduction to Neutrosophic Statistics

Neutrosophic Statistics means statistical analysis of population or sample that has indeterminate (imprecise, ambiguous, vague, incomplete, unknown) data. For example, the population or sample size might not be exactly determinate because of some individuals that partially belong to the population or sample, and partially they do not belong, or individuals whose appurtenance is completely unkno...

متن کامل

Fuzzy Neutrosophic Product Space

In this paper we introduce the concept of fuzzy neutrosophic product spaces and investigate some of their properties. Mathematics Subject Classification: 03B99, 03E99, 03F55, 54A40

متن کامل

Valid Resampling of Higher Order Statistics Using Linear Process Bootstrap and Autoregressive Sieve Bootstrap

Abstract. In this paper we show that the linear process bootstrap (LPB) and the autoregressive sieve bootstrap (AR sieve) fail in general for statistics whose large-sample distribution depends on higher order features of the dependence structure rather than just on autocovariances. We discuss why this is still the case under linearity if it does not come along with causality and invertibility w...

متن کامل

Statistics Notes: Bootstrap resampling methods.

the bmj | BMJ 2015;350:h2622 | doi: 10.1136/bmj.h2622 1Department of Health Sciences, University of York, York YO10 5DD, UK 2Centre for Statistics in Medicine, Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, Oxford OX3 7LD, UK; Correspondence to: J M Bland [email protected] Cite this as: BMJ 2015;350:h2622 doi: 10.1136/bmj.h2622 Statis...

متن کامل

Fast Resampling Weighted v-Statistics

In this paper, a novel and computationally fast algorithm for computing weighted v-statistics in resampling both univariate and multivariate data is proposed. To avoid any real resampling, we have linked this problem with finite group action and converted it into a problem of orbit enumeration. For further computational cost reduction, an efficient method is developed to list all orbits by thei...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Mathematics

سال: 2021

ISSN: ['2314-4785', '2314-4629']

DOI: https://doi.org/10.1155/2021/6635846