Using 55 years of daily average temperatures from a local weather station, I made a least-absolute-deviations regression model that accounts for three effects: seasonal variations, the 11-year solar cycle, and a linear trend. The solution correctly identifies the period and phase of the solar cycle. It also indicates that temperatures have gone up by about 2 ◦F over the 55 years covered by the ...

where L = (Lij)m×n is a block m×n matrix differential operator of at most first order, B = (Bij)l×n is a block l × n matrix operator, U = (Ui)n×1 is unknown, F = (Fi)m×1 is a given block vector-valued function defined in Ω, G = (Gi)l×1 is a given block vector-valued function defined on ∂Ω. Assume that first-order system (1.1) has a unique solution U . Boundary conditions in a least-squares form...

| We present simple exponential approximations to the transient behavior of the stable M=M=1 queue. The approximations are optimal in a least-squares sense, and we nd them to agree well with exact results. Our approach can be used to derive approximations for any time-dependent quantity with a known Laplace transform, e.g., the probability distribution and the moments of the queue size, of the ...

With the business environment become more complex and dynamic, organizations have been faced with more pressures of competition. Organizations are often compelled to form strategic alliances with other organizations to survive and prosper. The inter-organizational arrangement can become favorable seedbed for inter-organization conflict. The participants in the strategic alliance often spend a s...

This paper generalizes the model proposed by Misra, by considering switching between political parties. In the model proposed, the movements of members from political party B to political party C and vice versa, are considered but the net movement is considered by assuming that [Formula: see text] (a constant), which implies that the movement of members is either from party B to party C or from...

Several models in data analysis are estimated by minimizing the objective function defined as the residual sum of squares between the model and the data.A necessary and sufficient condition for the existence of a least squares estimator is that the objective function attains its infimum at a unique point. It is shown that the objective function for Parafac-2 need not attain its infimum, and tha...

We investigate the use of the L∞ cost function in geometric vision problems. This cost function measures the maximum of a set of model-fitting errors, rather than the sumof-squares, or L2 cost function that is commonly used (in least-squares fitting). We investigate its use in two problems; multiview triangulation and motion recovery from omnidirectional cameras, though the results may also app...