This paper analyses the roles of various potential quality signals in the demand for cinema in the United Kingdom using a breakdown of advertising totals by media category. Estimation of a two stage least squares model with data for 546 films released in the United Kingdom shows that the impacts of types of advertising on box office revenues vary both in channels and magnitudes of impact. We al...

in the present work we study the use of fourier transform near infrared spectroscopy (ftnirs)technique to analysis the calcium (ca), phosphorus (p) and copper (cu) contents offish meal. the regression methods employed were partial least squares (pls) and kernelpartial least squares (kpls). the results showed that the efficiency of kpls was better thanpls. as a whole, the application of ft-nirs ...

In this article, a new approach to tidal harmonic analysis is introduced. This approach incorporates more constituents in the least squares method for a fixed duration of noise-free tidal record and results in a more accurate tidal prediction. Moreover, it is demonstrated that 135 days of hourly data, which is significantly less than 369 days data in the Rayleigh criterion, is sufficient for th...

Principal component analysis (PCA) is a popular technique to reduce the dimension of the data at hand. Since PCA is based on the empirical variance-covariance matrix, the estimates can be severely damaged by outliers. To reduce these effects, several robust methods were developed, mostly by replacing the classical variance-covariance matrix by a robust version. In this paper we focus on Stahel-...