Baltic International Academy

About: Baltic International Academy is a education organization based out in Riga, Latvia. It is known for research contribution in the topics: Logic synthesis & Parametric statistics. The organization has 81 authors who have published 96 publications receiving 231 citations. The organization is also known as: Baltic Russian Institute.

Private Higher Education In Latvia: Funding And Quality Assurance

Abstract: In today's globalizing world the importance of education as an important factor of the development of economy and society in general is increasingly growing. Investing in education now becomes essential for the creation of a long-term economic growth potential and an adequate respond to technological and demographic changes that have a transformative impact on labor markets and employment. The important component of the higher education systems of many countries is formed by private higher education institutions, although in each case they have national specifics. On the one hand, private education has been recognized as such, on the other hand it has not been fully determined yet what place it should occupy as a private actor. The answer to this question largely depends on the ideology and specific policy in the reforms of individual countries.

Economic Security under Disturbances of Foreign Capital

Abstract: Considering both positive and negative spillover effects of foreign capital, this chapter establishes a method for the receiving economy of foreign capital to constantly monitor and forecast the movement of foreign capital within itself so that appropriate methods of regulation could be established in order to guarantee the health and stable development (or the security) of the domestic economy.

A Novel Unified Computational Approach to Constructing Shortest-Length or Equal Tails Confidence Intervals in Terms of Pivotal Quantities and Quantile Functions

Abstract: A confidence interval is a range of values that gives the user a sense of how precisely a statistic estimates a parameter. In the present paper, a new simple computational method is proposed for simultaneous constructing and comparing confidence intervals of shortest length and equal tails in order to make efficient decisions under parametric uncertainty. This method represents a simple and computationally attractive numerical technique for finding the shortest-length and equal tails confidence intervals using pivotal quantities, which are developed from either maximum likelihood estimates or sufficient statistics. In statistics, a pivotal quantity (or pivot) is a function of observations and unobservable parameters such that the function’s probability distribution does not depend on the unknown parameters (including nuisance parameters). Finding a pivotal quantity is not discussed, but the choice a “good” pivotal quantity is essential for the resulting confidence interval to be useful. The unified computational technique yields intervals in several situations which have previously required separate analyses using more advanced techniques and tables for numerical solutions. Unlike the Bayesian approach, the proposed approach is independent of the choice of priors and represents a novelty in the theory of statistical decisions. It allows one to eliminate nuisance parameters from the problem via the technique of invariant statistical embedding and averaging in terms of pivotal quantities (ISE&APQ). It should be noted that the well-known classical approach to constructing confidence intervals of the shortest length considers at least three versions of possible solutions and is in need of information about the form of the probability distribution of pivotal quantity in order to determine an adequate version of the correct solution. The proposed method does not need such information. It receives this information through the quantiles of the probability distribution of pivotal quantity. Therefore, the proposed method automatically recognizes an adequate version of the correct solution. To illustrate this method, numerical examples are given. In detail, the Pareto distribution is discussed.

Implicit association Self-concept test in studying of violence-related cognitions

Abstract: * Plotka Irina — Doctor of Science in Psychology, Professor, Director of Professional Master Study Programme “Psychology”, Head of the Department Psychology, Baltic International Academy, Riga, Latvia, irinaplotka@inbox.lv ** Simane-Vigante Laura — Master of Psychology, Researcher, Department of Psychology, Baltic International Academy, Riga, Latvia, l.simane@inbox.lv *** Blumenau Nina — Doctor of Science in Engineering, Associated Professor, Department of Psychology, Baltic International Academy, Riga, Latvia, nina.blum@gmail.com For citation: Plotka I., Simane-Vigante L., Blumenau N. Implicit association Self-concept test in studying of violence-related cognitions. Sotsial'naia psikhologiia i obshchestvo [Social Psychology and Society], 2018. Vol. 9, no. 3, pp. 176—186. doi:10.17759/sps.2018090317 (In Russ., аbstr. in Engl.). Implicit association Self-concept test in studying of violence-related cognitions

Accident Risk Assessment for Highly Reliable Aviation Systems in Emergency Situations

Abstract: Abstract Safety of aircrafts exploitation is estimated by means of the using the results of the prognoses of the dangerous factors which could be take place during the flight in the off-design conditions. The risk - approach, based on the fuzzy sets methods, is discussed and find out the paths leading to the catastrophes of the different types of the vessels. The dangerous (Unsafeness, Hazard) is the discrete state with the factors which could be take place during the flight in the off-design conditions. It was suggested to find out the paths leading to the catastrophes under condition of the rare events with probabilities “almost zero”.