1. Residuals from linear regressions are used frequently in statistical analysis, often for the purpose of controlling for unwanted effects in multivariable datasets. This paper criticizes the practice, building upon recent critiques. 2. Regression of residuals is often used as an alternative to multiple regression, often with the aim of controlling for confounding variables. When correlations ...

four hundred and eighty mixed-sex broiler chicks aged 3 hrs after hatching were allotted according to a completely random design in a 6 × 2 × 2 factorial schedule into 2 groups of 12 replications of 20 chicks each. the main experimental factors were fasting for 0, 6, 12, 24, 36, and 48 hrs after chick placement, calcium gluconate (ca-glu) injection (0 and 0.6 ml) and sex (male and female). inde...

In order to solve the fault detection and isolation problem, a diagnostic procedure is used. This procedure is composed of two steps: residuals generation followed by their evaluation within decision functions. Many ways have been developed to generate residuals. Among them, we quote the well known parity space approach and the observer based approach. These methods are known to produce structu...

CURRENT SCIENCE, VOL. 93, NO. 10, 25 NOVEMBER 2007 1422 *For correspondence. (e-mail: [email protected]) vertical measurements. Also, the time taken by the different stochastic methods is compared. The longer data spans give reliable results as well as less standard deviation for residuals. Using the single-frequency receiver, the standard deviation of the residuals is the same for all three sto...

Finite normalized tight frames are interesting because they provide decompositions in applications and some physical interpretations. In this article, we give a recursive method for constructing them.

The covariance matrix is formulated in the framework of a linear multivariate ARCH process with long memory, where the natural cross product structure of the covariance is generalized by adding two linear terms with their respective parameter. The residuals of the linear ARCH process are computed using historical data and the (inverse square root of the) covariance matrix. Simple measure of qua...

This paper has two-fold contribution. First, normality of the crop yield residuals are examined using panel statistical procedures accounting for trend, autocorrelation and heteroskedasticity. Second, to evaluate the importance of accounting for spatial and temporal variation on the normality of crop yield residuals, the changes in the skewness, kurtosis and D’Agostino-Pearson 2 (K ) omnibus no...

The "hazard" associated with a waste essentially controls the overall engineering approach to finding suitable alternatives for solving potential disposal problems. It should be recognized that all factors affecting environmental equilibrium must be considered, including product sales, process design, financing, pre- and end-of-pipe treatment, residuals management, and ultimate bioaccumulation ...

The Hinich (1982) bispectrum test for nonlinearity and Gaussianity indicates that the residuals of the Tiao-Box (1981) constrained and unconstrained VAR models for the gas furnace data reject the assumption of Gaussianity and linearity over a grid of bandwidths for estimating the bispectrum. These findings call into question the specification of the linear VAR and VARMA models assumed by Tiao-B...