The implementation of a test method ensures the analytical reliability of the test result, reason why the present paper deals with the implementation of the analytical method described in the Standard Methods 3111 D - Direct Nitrous Oxide - Acetylene Flame Method for the determination of barium in the matrix of wastewater, using an atomic absorption spectrometer. It is implementation has the approach of the system of management of quality of testing laboratories ISO/IEC 17025: 2005, being evaluated statistical parameters: accuracy (trueness and precision), method detection limit, quantification limit, working range, linearity, sensitivity and robustness. 

This paper defines the criterion of quality assurance results for the determination of barium by the method Standard Methods 3111 D - Direct Nitrous Oxide - Acetylene Flame Method by atomic absorption spectrometry, estimated for individuals Shewhart control limits for accuracy and precision parameters. The study was conducted for wastewater 

This paper aims to estimate the measurement uncertainty of the method Standard Methods 3111 D - Direct Nitrous Oxide - Acetylene Flame Method for the determination of barium in the wastewater matrix by atomic absorption spectrometry, using a model estimation uncertainty factors as requested by the guideline INDECOPI-acr-09 CRT-D, low approach quality management system of testing laboratories ISO / IEC 17025:2005. 

Currently the methods for estimating the mean are those based on the confidence interval of the average or sample mean. This paper aims to help you choose the estimator (average or median) to use depending on the sample size. For this we have generated, via simulation in EXCEL, samples with normal distribution and confidence intervals for both estimators, and by hypothesis tests for the difference of proportions show that method is better depending on the sample size. 

The implementation of a test method ensures the analytical reliability of the test result, reason why the present paper deals with the implementation of the analytical method described in the Standard Methods 3111 D - Direct Nitrous Oxide - Acetylene Flame Method for the determination of barium in the matrix of wastewater, using an atomic absorption spectrometer. It is implementation has the approach of the system of management of quality of testing laboratories ISO/IEC 17025: 2005, being evaluated statistical parameters: accuracy (trueness and precision), method detection limit, quantification limit, working range, linearity, sensitivity and robustness. 

This paper defines the criterion of quality assurance results for the determination of barium by the method Standard Methods 3111 D - Direct Nitrous Oxide - Acetylene Flame Method by atomic absorption spectrometry, estimated for individuals Shewhart control limits for accuracy and precision parameters. The study was conducted for wastewater.

This paper aims to estimate the measurement uncertainty of the method Standard Methods 3111 D - Direct Nitrous Oxide - Acetylene Flame Method for the determination of barium in the wastewater matrix by atomic absorption spectrometry, using a model estimation uncertainty factors as requested by the guideline INDECOPI-acr-09 CRT-D, low approach quality management system of testing laboratories ISO / IEC 17025:2005. 

Currently the methods for estimating the mean are those based on the confidence interval of the average or sample mean. This paper aims to help you choose the estimator (average or median) to use depending on the sample size. For this we have generated, via simulation in EXCEL, samples with normal distribution and confidence intervals for both estimators, and by hypothesis tests for the difference of proportions show that method is better depending on the sample size. 

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Globalization has intensified competition in many markets. To remain competitive, the companies look for satisfying the needs of customers by meeting market requirements. In this context, Process Capability Indices (PCI) play a crucial role in assessing the quality of processes. In the case of non-normal data there are two general approaches based on transformations (Box-Cox and Johnson Transformation) and Percentiles (Pearson’s and Burr’s Distribution Systems). However, previous studies on the comparison of these methods show different conclusions, and thus arises the need to clarify the differences between these methods to implement a proper estimation of these indices. In this paper, a simulation study is made in order to compare the above methods and to propose an appropriate methodology for estimating the PCI in non-normal data. Furthermore, it is concluded that the best method ...

Globalization has intensified competition in many markets. To remain competitive, the companies look for satisfying the needs of customers by meeting market requirements. In this context, Process Capability Indices (PCI) play a crucial role in assessing the quality of processes. In the case of non-normal data there are two general approaches based on transformations (Box-Cox and Johnson Transformation) and Percentiles (Pearson’s and Burr’s Distribution Systems). However, previous studies on the comparison of these methods show different conclusions, and thus arises the need to clarify the differences between these methods to implement a proper estimation of these indices. In this paper, a simulation study is made in order to compare the above methods and to propose an appropriate methodology for estimating the PCI in non-normal data. Furthermore, it is concluded that the best method ...