This paper studies panel quantile regression models with endogeneity and additive fixed effects. We focus on static panel model where regressors and instruments are not predetermined. The fixed effect approach causes an incidental parameter bias in the estimates of the parameters of interest, and we characterize this bias under an asymptotic where both panel dimensions become large. We encounte...

The aim of the present study was to evaluate the effects of various levels of inbreeding, breed and gender on the phagocytic activity of leucocytes in rabbits. A total of 60 rabbits was used for this purpose (30 ♀ + 30 ♂). They were allotted into groups by breed, gender and inbreeding level as determined by Wright’s method. The phagocytic reaction was determined by Valchanov’s method in which a...

in order to investigate the yield stability of eight promising rice genotypes, these lines along with shiroudi and fajr cultivars as control were sown in three regions of mazandaran province (amol, sari and tonekabon) as randomized complete block arrangements with three replications in 2012 and 2013. analysis of variance for grain yield indicated significant differences among the genotypes in a...

In this paper, we examine the problem of fitting a circle to a set of noisy measurements of points on the circle’s circumference. Delogne (Proc. IMEKO-Symp. Microwave Measurements 1972, 117-123) has proposed an estimator which has been shown by Kåsa (IEEE Trans. Instrum. Meas. 25, 1976, 8-14) to be convenient for its ease of analysis and computation. Using Chan’s circular functional model to de...

Visual tracking needs modeling inter-frame motion and appearance changes. In conventional visual tracking algorithms, the appearance model is either fixed or rapidly changing, and the motion model is simply a random walk with fixed noise variance. Also, if particle filter is used for solving tracking problem, the the number of particles is typically fixed. All these factors make the visual trac...

Diluted neural networks with continuous neurons and nonmonotonic transfer function are studied, with both fixed and dynamic synapses. A noisy stimulus with periodic variance results in a mechanism for controlling chaos in neural systems with fixed synapses: a proper amount of external perturbation forces the system to behave periodically with the same period as the stimulus.

Occupational exposure to chemical agents can vary enormously within- and between-workers, even when carrying out the same jobs. When repeated measurements are available, the variance components can be estimated using random- or mixed-effects models. Pooling the variance components across the fixed effects, in mixed-effects models, reduces the complexity of the models; especially, when there are...

In this article we study weighted sums of $n$ i.i.d. Gamma( notation="LaTeX">$\alpha $ ) random variables with nonnegative weights. We show that for notation="LaTeX">$n \geq 1/\alpha the sum equal coefficients maximizes differential e...

 Traditional regression analyses assume normality of observations and independence of mean and variance. However, there are many examples in science and Technology where the observations come from a skewed distribution and moreover there is a functional dependence between variance and mean. In this article, we propose a method for regression analysis under Inverse Gaussian model when th...