A fuzzy nonparametric Shewhart chart based on the bootstrap approach
نویسندگان
چکیده
منابع مشابه
A Fuzzy Nonparametric Shewhart Chart Based on the Bootstrap Approach
In this paper, we consider a nonparametric Shewhart chart for fuzzy data. We utilize the fuzzy data without transforming them into a real-valued scalar (a representative value). Usually fuzzy data (described by fuzzy random variables) do not have a distributional model available, and also the size of the fuzzy sample data is small. Based on the bootstrap methodology, we design a nonparametric S...
متن کاملNonparametric Shewhart-type Quality Control Charts in Fuzzy Environment
Nonparametric control charts are presented in order to figure out the problem of detecting changes in the process median (or mean), or changes in the variability process where there is limited knowledge regarding the underlying process. When observations are reported imprecise, then it is impossible to use classical nonparametric control charts. This paper is devoted to the problem of c...
متن کاملA Nonparametric Control Chart based on the Mann-Whitney Statistic
Nonparametric or distribution-free charts can be useful in statistical process control when there is limited knowledge about the underlying process. In this paper a Shewhart-type chart is considered for the location, based on the Mann-Whitney statistic. The control limit calculations use Lugannani-Rice saddlepoint, Edgeworth and other approximation methods along with Monte Carlo estimation and ...
متن کاملthe effect of a selfregulatory approach on the improvement of efl learners listening comprehension
تاثیر آموزش مهارت خود محوری بر روی ارتقاء مهارت شنیداری زبان آموزان هدف این پژوهش بررسی عوامل موثر در ارتقا مهارت شنیداری زبان آموزان ایرانی بود. در مرحله اول این تحقیق پژوهشگر پس از انجام مصاحبه نود زبان آموز را با استفاده از تست ایلتس انتخاب شدند. برای بررسی عوامل عوامل موثر در ارتقا مهارت شنیداری زبان آموزان ایرانی از دو نوع فیلم ویرایش شده و ویرایش نشده استفاده گردید.برای انجام تح...
Statistical Topology Using the Nonparametric Density Estimation and Bootstrap Algorithm
This paper presents approximate confidence intervals for each function of parameters in a Banach space based on a bootstrap algorithm. We apply kernel density approach to estimate the persistence landscape. In addition, we evaluate the quality distribution function estimator of random variables using integrated mean square error (IMSE). The results of simulation studies show a significant impro...
متن کاملذخیره 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: International Journal of Applied Mathematics and Computer Science
سال: 2015
ISSN: 2083-8492
DOI: 10.1515/amcs-2015-0030