Add to ORKGIn this paper, the single sampling plan for variables under measurement error for non-normal distributions represented by the first four terms of an Edgeworth series is studied for known case. The effect of using the normal theory sampling plan in a non-normal situation is studied by obtaining the distorted errors of the first and second kind. As one will be interested in having a suitable sampling plan under measurement error for non-normal variables, the values of n and k are determined. Keywords: Non-Normal distribution, Edgeworth series, Measurement error, Single Sampling Pla
Traditionally, quality control methodology is based on the assumption that serially-generated data a...
In manufacturing it is useful to have a quick estimate of the standard deviation. This is often done...
In statistics, samples are drawn from a population in a data generating process (DGP). Standard erro...
Abstract In this paper, the single sampling plan for variables under measurement error for non-norma...
The effect of non-normality on the OC function of the sampling plan under EWMA is studied by derivin...
In this paper, the discrimination and classification problem associated with the persistent non norm...
Single sampling plans are investigated for variables indexed by acceptable quality level (AQL) and a...
The ordinary variable inspection plans rely on the normality of the underlying populations. However...
One-sided variables acceptance sampling plans such as the one presented in Schilling1 assume that a ...
Sampling error refers to variability that is unique to the sample. If the sample is the entire popul...
The purpose of this research was to develop methods of modelling inspection error problems in statis...
This paper deals with a quantitative study on the effects of non-normality on the operating characte...
(Received: 2015/05/02 - Accepted: 2015/06/11)An empirical rule is proposed for determining the sampl...
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
Traditionally, quality control methodology is based on the assumption that serially-generated data a...
In manufacturing it is useful to have a quick estimate of the standard deviation. This is often done...
In statistics, samples are drawn from a population in a data generating process (DGP). Standard erro...
Abstract In this paper, the single sampling plan for variables under measurement error for non-norma...
The effect of non-normality on the OC function of the sampling plan under EWMA is studied by derivin...
In this paper, the discrimination and classification problem associated with the persistent non norm...
Single sampling plans are investigated for variables indexed by acceptable quality level (AQL) and a...
The ordinary variable inspection plans rely on the normality of the underlying populations. However...
One-sided variables acceptance sampling plans such as the one presented in Schilling1 assume that a ...
Sampling error refers to variability that is unique to the sample. If the sample is the entire popul...
The purpose of this research was to develop methods of modelling inspection error problems in statis...
This paper deals with a quantitative study on the effects of non-normality on the operating characte...
(Received: 2015/05/02 - Accepted: 2015/06/11)An empirical rule is proposed for determining the sampl...
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
This paper analyzes the consequences of non-classical measurement error for distributional analysis....
Traditionally, quality control methodology is based on the assumption that serially-generated data a...
In manufacturing it is useful to have a quick estimate of the standard deviation. This is often done...
In statistics, samples are drawn from a population in a data generating process (DGP). Standard erro...