This paper introduces a maximum likelihood estimator of the value job amenities and labor productivity in single matching market based on observation equilibrium matches wages. The estimation procedure simultaneously fits both patterns wage curve. While our is suited for wide range assignment problems, we provide an application to Value Statistical Life using compensating differentials risk fat...

A new approach to assigning individuals to populations using genetic data is described. Most existing methods work by maximizing Hardy-Weinberg and linkage equilibrium within populations, neither of which will apply for many demographic histories. By including a demographic model, within a likelihood framework based on coalescent theory, we can jointly study demographic history and population a...

BACKGROUND Identification of negation in electronic health records is essential if we are to understand the computable meaning of the records: Our objective is to compare the accuracy of an automated mechanism for assignment of Negation to clinical concepts within a compositional expression with Human Assigned Negation. Also to perform a failure analysis to identify the causes of poorly identif...

Abstract This report reviews three possible approaches to the assignment of confidence intervals to feed-forward neural networks, namely, bootstrap estimation, maximum likelihood estimation, and Bayesian statistics. The report concludes with a proposal for mixture modelling via Markov Chain Monte Carlo sampling to enable non-Gaussian variances to be modelled without introducing the bias caused ...

We present a system to track the positions of multiple persons in a scene from overlapping cameras. The distinguishing aspect of our method is a novel, two-step approach that jointly estimates person position and track assignment. The proposed approach keeps solving the assignment problem tractable, while taking into account how different assignments influence feature measurement. In a hypothes...

Forensic evidentiary samples routinely contain DNA from multiple contributors. The interpretation of these mixtures can be a challenging task for the DNA scientist. Several approaches are discussed (no calculationqualitative statement; probability of exclusion; likelihood ratio estimates; presumptive genotype assignment based on peak heights), which have been employed to assess the significance...

when shareholders have agreement about divestiture of company’s share in stock exchange, they decide to change and improve their business ownership structure and the presence of a large shareholder to help divestiture. the present study was aimed to investigate the effect of presence of large shareholder to tends firm to divestiture by a new approach. for this purpose, the propensity score a sa...

We have proved a new rotational sorting algorithm capable of reducing the complexity of data assignment process embedded in the maximum likelihood (ML)-based solution of a multitarget tracking problem from O(N3) of the conventional Hungarian type routines to O(N2) provided that the bearings-only measurements from an array of passive sensors are free from cluttering and missing data. © 2001 IMAC...

In this research, two techniques of pixel-based and object-based image analysis were investigated and compared for providing land use map in arid basin of Mokhtaran, Birjand. Using Landsat satellite imagery in 2015, the classification of land use was performed with three object-based algorithms of supervised fuzzy-maximum likelihood, maximum likelihood, and K-nearest neighbor. Nine combinations...