Models and Methods of Support Decision for Management of IT Companies

Studies have been carried out and methods have been proposed to increase the competitiveness of IT companies by improving the quality of their state analysis taking into account stochastic indicators. Growth conditions may provide mergers and acquisitions (M&A). One of the important components of mergers and acquisitions is a qualitative assessment of the value and condition of the company associated with the development of IT. Particularly tangible are the results of a qualitative financial analysis for IT companies whose activities are aimed at the distribution and support of energy resources in a competitive environment of generating and supplying energy companies in the regions. The analysis of the data obtained as a result of the P&L financial report is mainly based on current indicators and can be partially used to prolong economic indicators for a certain (most often limited) period. In this case, the stochastic characteristics of non-interconnected influencing processes are practically not determined and quantitatively not taken into account. Thus, the definition of qualitative indicators of the economic state is most often based on a balanced scorecard (Balanced Scorecard, BSC). The authors propose using methods for evaluating stochastic indicators of IT development processes based on a number of tasks:1) development and coordination of methods and models that allow for the assessment of influencing indicators in the analysis of the financial condition of the analyzed companies, taking into account the likelihood of the implementation of scenarios of their development;2) creation of an information model and methods for processing current stochastic data and assessing the probability of the implementation of negative and positive outcomes

Models and methods for economic policy; 60 years of evolution at CPB

The Netherlands Bureau for Economic Policy Analysis (CPB) has been involved in econometric model building since its foundation in 1945. During the 60 years of model building and use reviewed in this Discussion Paper, CPB's models have evolved significantly. Over this period, a shift of emphasis can be observed from econometrics and empiricism to economic theory. New questions from policymakers and new features in the national economy have guided research, while new developments in econometrics and economic theory were taken on board wherever they helped to improve the quality and scope of the analysis. Although considerable progress has been achieved in several spheres, the models continue to be riddled with some long-standing limitations and weaknesses which the model users should take into account.

Models for TMDs and numerical methods

We study the connection between the quark orbital angular momentum and the pretzelosity transverse-momentum dependent parton distribution function. We discuss the origin of this relation in quark models, identifying as key ingredient for its validity the assumption of spherical symmetry for the nucleon in its rest frame. Finally we show that the individual quark contributions to the orbital angular momentum obtained from this relation can not be interpreted as the intrinsic contributions, but include the contribution from the transverse centre of momentum which cancels out only in the total orbital angular momentum.Comment: 43 pages, 8 figures; proceedings of International School of Physics "Enrico Fermi", Course CLXXX - "Three-dimensional Partonic Structure of the Nucleon", 28 June - 8 July 2011, Varenna (Italy

Mathematical methods and models for radiation carcinogenesis studies

Research on radiation carcinogenesis requires a twofold approach. Studies of primary molecular lesions and subsequent cytogenetic changes are essential, but they cannot at present provide numerical estimates of the risk of small doses of ionizing radiations. Such estimates require extrapolations from dose, time, and age dependences of tumor rates observed in animal studies and epidemiological investigations, and they necessitate the use of statistical methods that correct for competing risks. A brief survey is given of the historical roots of such methods, of the basic concepts and quantities which are required, and of the maximum likelihood estimates which can be derived for right censored and double censored data. Non-parametric and parametric models for the analysis of tumor rates and their time and dose dependences are explained