Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[BOK][B] Neutrosophic Statistics is an extension of Interval Statistics, while Plithogenic Statistics is the most general form of statistics (second version)
F Smarandache - 2022 - books.google.com
In this paper, we prove that Neutrosophic Statistics is more general than Interval Statistics,
since it may deal with all types of indeterminacies (with respect to the data, inferential …
since it may deal with all types of indeterminacies (with respect to the data, inferential …
Introduction and advances to neutrosophic probability and statistics and plithogenic probability and statistics and their applications in bioinformatics and other fields …
F Smarandache - Cognitive intelligence with neutrosophic statistics in …, 2023 - Elsevier
This chapter is a review study of over two decades (1998–2021) of the introduction and
development of the neutrosophic probability and neutrosophic statistics and their extensions …
development of the neutrosophic probability and neutrosophic statistics and their extensions …
Life truncated multiple dependent state plan for imprecise Weibull distributed data
This paper aims to provide a multiple dependent state (MDS) sampling technique for light-
emitting diode luminous intensities under indeterminacy by employing time truncated …
emitting diode luminous intensities under indeterminacy by employing time truncated …
Testing average wind speed using sampling plan for Weibull distribution under indeterminacy
M Aslam - Scientific Reports, 2021 - nature.com
The time truncated plan for the Weibull distribution under the indeterminacy is presented.
The plan parameters of the proposed plan are determined by fixing the indeterminacy …
The plan parameters of the proposed plan are determined by fixing the indeterminacy …
Inspection plan for COVID-19 patients for Weibull distribution using repetitive sampling under indeterminacy
Background This research work is elaborated investigation of COVID-19 data for Weibull
distribution under indeterminacy using time truncated repetitive sampling plan. The …
distribution under indeterminacy using time truncated repetitive sampling plan. The …
Fuzzy-inference-based decision-making method for the systematization of statistical process capability control
This paper proposes a decision-making method based on fuzzy inference to facilitate
process capability analysis based on the knowledge and experience of experts, and …
process capability analysis based on the knowledge and experience of experts, and …
Single-stage and two-stage total failure-based group-sampling plans for the Weibull distribution under neutrosophic statistics
If the sample or population has vague, inaccurate, unidentified, deficient, indecisive, or fuzzy
data, then the available sampling plans could not be suitable to use for decision-making. In …
data, then the available sampling plans could not be suitable to use for decision-making. In …
Fuzzy acceptance sampling plan for transmuted Weibull distribution
In conventional sampling plans, the rate of the fraction of faulty items is supposed and fixed,
but in some practical situations, this value is not fixed but fuzzy. To attain real and flexible …
but in some practical situations, this value is not fixed but fuzzy. To attain real and flexible …
Parameter estimation and applications of the Weibull distribution for strength data of glass fiber
Y Wu, H **e, JY Chiang, G Peng… - … Problems in Engineering, 2021 - Wiley Online Library
Glass fiber is a good substitute for metal materials. However, in the process of
manufacturing, it is necessary to carry out sampling inspection on its tensile strength to infer …
manufacturing, it is necessary to carry out sampling inspection on its tensile strength to infer …
Various sampling inspection plans for cancer patients using gamma distribution under indeterminacy
The aim of this chapter is to work out the various time-truncated sampling schemes for
cancer patients using gamma distribution based on indeterminacy. Here, we have …
cancer patients using gamma distribution based on indeterminacy. Here, we have …