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It should be noted that employee innovation performance is a multistage process with different activities, different stages of development, and different employee behaviors needed for each stage.
Figures illustrate nitrogen adsorption on silicas modified with PMPS using multistage process with different ratios of polymer and depolymerization agent (PMPS/DMC) with introducing at the first stage the short- (samples 3 and 4), middle- (samples 2 and 5), and long-length oligomers (samples 1 and 6) and application of two protocols of polymer chemisorption.
As the performance of a profile monitoring scheme is highly dependent on the standard deviation of the error term in a regression model being used, this paper focuses on Phase-I monitoring of the standard deviation of a simple linear regression profile in a multistage process with cascade property.
Subsequently, the parameters of the survival regression model can be modeled in terms of all effective prior quality variables for a multistage process with n stages as follows: mu_{{y_{n - 1} |x,y_{1}, ldots,y_{n - 2} }} = alpha_{0} + alpha_{1} x + sumlimits_{i = 2}^{n - 1} {alpha_{i} log (y_{i - 1} )}.
Lung cancer is a multistage process with poor prognosis and high morbidity.
Transformation with mycoplasma was a multistage process, with distinct phases in promotion and progression towards malignancy.
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This method can be extended to be used for the multistage processes with more than two stages.
Process monitoring using multistage processes with binary data remains an important and challenging problem in statistical process control (SPC).
In this paper, a new methodology is proposed to monitor the standard deviation involved in a simple linear profile designed in Phase I to monitor multistage processes with the cascade property.
Qualitative data were organized through a systematic, multistage process, consistent with the constant comparative method (Glaser and Strauss, 1967).
Strongly predisposed individuals would go through the same multistage process, but with perhaps fewer steps to pass.
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