A non-normal class of distribution function for dose-binary response curve*
نویسندگان
چکیده
منابع مشابه
Construction of a dose – response curve by induction of premature chromosome condensation for biological dosimetry
Premature Chromosome Condensation (PCC) appears to have a possible utility for biological dosimetry purposes. The PCC technique may be adapted for cases of suspicion of overexposure where sampling is performed at least one day after an accident. For this purpose, human blood samples were exposed in vitro to 60Co up to 10 Gy and the PCC technique was performed immediately after irradiation. Anal...
متن کاملconstruction of a dose – response curve by induction of premature chromosome condensation for biological dosimetry
premature chromosome condensation (pcc) appears to have a possible utility for biological dosimetry purposes. the pcc technique may be adapted for cases of suspicion of overexposure where sampling is performed at least one day after an accident. for this purpose, human blood samples were exposed in vitro to 60co up to 10 gy and the pcc technique was performed immediately after irradiation. anal...
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In this paper, multivariate skew-normal distribution is em- ployed for analyzing an outcome based dropout model for repeated mea- surements with non-random dropout in skew regression data sets. A probit regression is considered as the conditional probability of an ob- servation to be missing given outcomes. A simulation study of using the proposed methodology and comparing it with a semi-parame...
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In most manufacturing processes, each product may contain a variety of quality characteristics which are of the interest to be optimized simultaneously through determination of the optimum setting of controllable factors. Although, classic experimental design presents some solutions for this regard, in a fuzzy environment, and in cases where the response data follow non-normal distributions, th...
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ژورنال
عنوان ژورنال: Journal of Applied Statistics
سال: 1987
ISSN: 0266-4763,1360-0532
DOI: 10.1080/02664768700000009