In regression analysis for deriving scaling laws that occur in various scientific disciplines, usually standard regression methods have been applied, of which ordinary least squares (OLS) is the most popular. In many situations, the assumptions underlying OLS are not fulfilled, and several other approaches have been proposed. However, most techniques address only part of the shortcomings of OLS...

There are three broad classes of models used to address the econometric problems caused by skewness in data commonly encountered in health care applications: (1) transformation to deal with skewness (e.g., OLS on ln(y)); (2) alternative weighting approaches based on exponential conditional models (ECM) and generalized linear model (GLM) approaches; and (3) survival models (Cox proportional haza...

This paper provides some small sample evidence on the appropriateness of ordinary least squares (OLS) and instrumental variable (IV) estimators of the structural equation, and on the appropriate method of performing hypothesis testing in event studies when generated variables are present. In event studies, the number of observations used to estimate the auxiliary equations (and compute the gene...

Increasing evidences suggest that, after neuregulin (NRG) stimulation, ErbB4 undergoes a series of proteolysis, including c-secretase cleavage. The released ErbB4 intracellular domain (EICD) is translocated into nucleus and has a transcriptional function. Although NRG–ErbB4 signaling mediates maturation of oligodendrocytes (OLs), the role of EICD and c-secretase in this process remains elusive....

In advanced electronic circuits the reliability has been a major concern. There are number of mitigation techniques proposed to make sure that the errors do not affect the circuit functionality. Among them, to protect the memories and registers in electronic circuits Error Correction Codes (ECC) are commonly used. Whenever any ECC technique is used, the encoder and decoder circuit may also suff...

Consider a general regression model, where the response Y depends on discrete predictors X only through the index βX. It is well-known that the ordinary least squares (OLS) estimator can recover the underlying direction β exactly if the link function between Y and X is linear. Li and Duan (1989) showed that the OLS estimator can recover β proportionally if the predictors satisfy the linear cond...

Local linear prediction is one of several methods that have been applied to prediction of real time series including financial time series. The difference from global linear prediction is that, for every single point prediction, a different linear autoregressive (AR) model is estimated based only on a number of selected past scalar data segments. Geometrically, these data segments correspond to...

BACKGROUND The importance of visual sense in Hymenopteran social behavior is suggested by the existence of a Hymenopteran insect-specific neural circuit related to visual processing and the fact that worker honeybee brain changes morphologically according to its foraging experience. To analyze molecular and neural bases that underlie the visual abilities of the honeybees, we used a cDNA microar...