The problem of finding a positive distribution, which corresponds to a given complex density, is studied. By the requirement that the moments of the positive distribution and of the complex density are equal, one can reduce the problem to solving the matching conditions. These conditions are a set of quadratic equations, thus Groebner basis method was used to find its solutions when it is restricted to a few lowest-order moments. For a Gaussian complex density, these approximate solutions are compared with the exact solution, that is known in this special case.
It is shown that the limiting random variable W(si) of an irregular branching process with infinite mean, defined in [5], has a continuous and positive distribution on {0 < W(si) < ∞}. This implies that for all branching processes (Zn) with infinite mean there exists a function U such that the distribution of V = limnU(Zn)e–n a.s. is continuous, positive and finite on the set of non-extinction. A kind of law of large numbers for sequences of independent copies of W(si) is derived.
This study aims to study how the marketing strategies of advertising, products, prices and channels affect the financial performance of Novotel Makassar Hotel. The sample used in this study is clients who book rooms and meeting rooms at the Novotel Makassar Hotel. The selection of samples in this study using a survey method based on certain criteria. The results of the study using path analysis show marketing strategies namely advertising, products, prices and positive distribution channels on financial performance.
Abstract
The objective of this research is the development of a generic model for the shape of a part of the human body. A generated instance is intended to be used in the construction of a Finite Elements model. The selected product type is a sitting support. With the help of a multiple regression model the shape of the upper leg and the buttock area are statistically described.
The predictive variables for this shape generation are specific human body characteristics, which are uncertain and usually incomplete. The actual model is a vague domain defined by a set of intersection points on the distribution vectors.
The measurements of the shape and specific characteristic landmarks were done with the Microscribe scanning device and the mirror box.
The results include (i) a statistical analysis of the measured subject properties, (ii) the generation of the inner closure, the outer closure, and the corresponding distribution vectors, (iii) the location indices on the distribution vectors, (iv) the statistical model to generate instances.
Satisfying positivity requirement in the Beyond Complex Langevin approach
