This study investigated the effect of sales revenue growth on corporate performance listed Nigerian foods and beverages manufacturing firms. The used secondary source data to collect panel from financial statements selected firms between 2011 2020. population is made up eight (8) companies Group Stock Exchange Limited. sample four (4) were obtained using a purposive sampling technique. employed...

attempts to obtain experimental values for the kinetic parameters of phenanthridine oxidation by guinea pig or rabbit liver aldehyde oxidase using common spectrophotometric methods have not been successful due to a lower limit of detection. in the present study, a new spectrofluorimetric assay in combination with a multivariate calibration method for enzymatic kinetic study of aldehyde oxidase ...

substrates' concentration profile was studied in a porous matrix containing immobilized amyloglucosidase for glucose production. this analysis was performed by using an analytical method called least square method, and the results were compared with numerical solution. effects of effective diffusivity, michael's constant, maximum reaction rate and initial substrate concentration were studied on...

This paper analyses growth for a sample of 624 firms located in three English counties. Using 52 variables, heteroskedasticity adjusted OLS is used to estimate their role in generating growth in new firms for the period 2000 to 2001 and for 1997 to 2001. Summary statistics show constrained founders own slightly more businesses; make greater use of external finance and are equally like to surviv...

We report on a systematic ground-based validation of DMSP-OLS night lights imagery to detect rural electrification in Vietnam. Based on an original survey of village-level units in Vietnam, this study compares nighttime light output from the U.S. Air Force Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) against ground-based survey data on electrical infrastruct...

Shifts in responses typically are obscured to users, so that regression proceeds as if unshifted. At issue is the infusion of such shifts into the classical analysis. On projecting outliers into the “Regressor” and “Error” spaces of a model, our findings are that shifts in responses account for shifts in the OLS solutions and for inflated residuals. These in turn impact estimation, prediction, ...

This paper proves the effectiveness of Least Mean Square (LMS) estimation algorithm for estimation of power system harmonics, inter-harmonics and sub-harmonics of distorted signal. Accurate estimation can be achieved by this technique for harmonics, sub-harmonics and inter-harmonics estimation including possible variation in the signal such as change in amplitude when applied to a distorted pow...

In this paper, we study the mean square convergence of the kernel least mean square (KLMS). The fundamental energy conservation relation has been established in feature space. Starting from the energy conservation relation, we carry out the mean square convergence analysis and obtain several important theoretical results, including an upper bound on step size that guarantees the mean square con...