This article is concerned with the estimation of a varying-coefficient regression model when the explanatory variables are measured with additive errors and the response variable is sometimes missing. Estimated coefficient function in complete observational data and interpolation data respectively, and all the proposed estimators for the coefficient function are proved to be asymptotic normalit...

In the common nonparametric regression model Yi = m(Xi) + σ(Xi) i we consider the problem of testing the hypothesis that the coefficient of the scale and location function is constant. The test is based on a comparison of the observations Yi/σ̂(Xi) with their mean by a smoothed empirical process, where σ̂ denotes the local linear estimate of the scale function. We show weak convergence of a cente...

Description This function calculates the coefficient of variation for each gene in the qPCR experiment, and returns the average coefficient of variation across all genes.

genetic diversity is essential in the implementation of breeding programs. in order to determine genetic diversity, factor analysis and heritability of yield and some morphological traits, 20 strawberry cultivars were studied at the agricultural station of kurdistan research center using a randomized complete block design with three replications. morphological characteristics such as number of ...

This essay introduces a new featured section, to be published in Small Axe annually, that explores the critical vocabulary of field Caribbean studies.

We consider the problem of selecting the normal population with the smallest coefficient of variation, which is a natural goal when the means as well as the variances of the populations are unknown and unequal. The indifference-zone approach (Bechhofer 1954) to this problem has been previously considered by Choi, Jeon and Kim (1982). We review their selection procedure and provide tables of sam...

To understand how a single neurone processes information, it is critical to examine the relationship between input and output. Marsalek, Koch and Maunsell’s study focused on output jitter (standard deviation of output interpike interval) found that for the integrate-and-fire (I&F) model this response measure converges towards zero as the number of inputs increases indefinitely when interarrival...

Inference for the mean of a normal distribution with known coefficient of variation is of special theoretical interest because the model belongs to the curved exponential family with a scalar parameter of interest and a two-dimensional minimal sufficient statistic. Therefore, standard inferential methods cannot be directly applied to this problem. It is also of practical interest because this p...