Testing Multivariate Normality in Series Experiments of Incomplete Blocks by Generalized Shapiro-Wilk Test

In this paper, we verify our assumption about multivariate normality in series experiments of incomplete blocks by the generalized Shapiro-Wilk test. This test utilizes transformations of mean yields of the investigated varieties and the generated random variables according to Durbin's randomization principle.     

生物传感器及其实际应用

以萤火虫发光为例,简述什么是生物传感器;生物传感器的特点和应用效益;生物传感产品在医学诊断、食品、饮料生产企业的卫生检测、环境污染监测等诸多领域中的应用;并对生物传感产品的现有和未来潜在市场作了分析和评价。     

Paradigm Epidemiology?

The paper is a first answer to a fundamental critique of epidemiology that has been voiced in a recent book by Immich. Apart from giving an introduction to this important and controversial work, mostly questions of a biostatistical nature are discussed here. A fundamental counter critique from an epidemiological viewpoint is necessary, but is not attempted in this paper.     

Error Normality Testing in a Model of Two-Way Nested Classification

The paper deals with the construction of a normality test for the verification of the assumption about normal distribution of random errors in a fixed model of two-way nested classification. For this purpose adequate linear transformations and orthogonal observable random vectors have been presented. To the adjusted residual vector obtained after these transformations, the D'Agostino normality test has been applied.     

微生物学检测技术在食品抗生素残留检测的研究应用

抗生素的普遍应用使得其在食品中广泛残留,对人体健康造成严重危害。目前,用于食品抗生素残留检测方法较多,微生物法是常用的筛选方法之一,具有简便、经济、高通量、特异性及灵敏度好等优点。本研究综述了微生物法在检测食品中抗生素残留的优缺点和影响因素等应用情况。     

Estimation of Heritability for Samples from Non-Normal Situations

Mathematical expressions, to investigate the effects of mederate departure from normality assumption on the point estimate and on the probability of getting a negative estimate of genetic heritability, in a balanced situation, have been derived. The numerical results show that the point estimate is over sensitive whereas the probability of a negative estimate is insensitive to this violation.