http://hdl.handle.net/123456789/1 http://hdl.handle.net/123456789/5832 OPTI ˇCKA DETEKCIJA OSTATAKA SUPERNOVIH I UTICAJ NJIHOVE EMISIJE U LINIJI Hα NA ODREDIVANJE STOPE FORMIRANJA ZVEZDA Vučetić, Milica In this dissertation we discuss in uence of H emission from supernova remnants (SNRs) on H derived star formation rates (SFRs). We present the detection of 16 optical SNR candidates in a part of nearby spiral galaxy IC342, and two more poten- tial SNRs in NGC 185 galaxy. The candidates were detected by applying [S ii]/H ratio criterion on observations made with the 2 m telescope at Rozhen National Astronomical Observatory in Bulgaria. Also, in this dissertation we present the most up-to-date list of nearby galaxies with optically detected SNRs. When deri- ving H star formation rates, assumption is that the radiation is coming from the ionized gas surrounding hot and young stars { H ii regions. In this case, emission from SNRs contaminates H ux used to derive SFR. We found that the contribu- tion of SNRs' ux to the total H ux, for 18 galaxies in our sample of galaxies with optical SNRs, is 5 5%. Due to the observational selection effects, the SNR contamination of SFRs derived herein represents only a lower limit. M83 is the galaxy with the most detected optical SNRs and in this galaxy SNRs account for 9 per cent of the total H emission. We expect that fraction similar to this would be close to the real contribution of SNR emission to the total H emission in spiral galaxies. Using two dwarf galaxies as an example, Holmberg IX and NGC 185, we show that the contamination of H ux by SNRs, or other sources, can be much larger, up to ten times higher than total H ux coming from H ii regions of the observed galaxy. http://hdl.handle.net/123456789/5828 POLINOMIJALNA ENTROPIJA INDUKAOVANIH DINAMIČKIH SISTEMA NA HIPERPROSTORIMA Đorić, Maša In this thesis, we applied a method for computing the polynomial entropy of dynamical systems with a finite non-wandering set to certain hyperspaces of the interval and the circle. We subsequently generalized these results to the case where the non-wandering set is not finite. We proved that the polynomial entropy of the induced map C(f ) is equal to 2, that of Fn(f ) is equal to n, and that of 2f is infinite, when f is a homeomorphism of the interval or the circle. Furthermore, we generalized these results for the n-fold symmetric product of the interval and the circle to an arbitrary compact metric space X and extended them to the suspension of the space Fn(X). In addition to the results on hyperspaces, we presented results concerning polynomial entropy on certain one-dimensional continua, such as local dendrites and regular curves. We also constructed a family of pointwise periodic homeomorphisms on a continuum whose polynomial entropy attains every value in [0, +∞]. http://hdl.handle.net/123456789/5817 XI SERBIAN CONFERENCE ON SPECTRAL LINE SHAPES IN ASTROPHYSICS, Book of abstracts Kovačević, Anđelka Simić, Saša http://hdl.handle.net/123456789/5816 Novel goodness-of-fit tests based on independence-type characterizations Halaj Mileusnić, Katarina The main objective of this dissertation is to develop novel goodness-of- fit tests based on independence characterizations and to investigate their proper- ties. The starting point is the fact that certain distributions can be uniquely char- acterized by the independence of suitable functions of random variables. This observation makes it possible to reduce goodness-of-fit testing for a hypothe- sized model to the problem of detecting departures from the corresponding in- dependence condition. Accordingly, the proposed test statistics are constructed by comparing empirical versions of joint functionals with the product of the cor- responding marginal functionals, where the resulting discrepancy serves as the basis for new goodness-of-fit tests for different classes of distributions. One of the contributions of the dissertation is the development of goodness- of-fit tests for the geometric distribution based on Ferguson’s independence char- acterization. In this setting, the general framework of comparing joint and marginal empirical functionals is implemented through V-empirical probability generating functions. Furthermore, a novel approach to goodness-of-fit testing for absolutely continuous distributions is proposed, relying on the discrepancy between the joint U-empirical distribution function of an appropriately defined random vector and the product of its marginal U-empirical distribution func- tions. Another part of the research focuses on circular data. A goodness-of-fit test for the wrapped normal distribution is proposed, where the general methodology is adapted to the periodic structure of observations on the circle. The theoretical part of the dissertation is devoted to the derivation of the asymptotic properties of the proposed test statistics, drawing on the theory of U- and V- statistics as well as on the theory of U-empirical processes. An addi- tional contribution is the establishment of new asymptotic results for finite linear combinations of weakly degenerate V-statistics, both in settings with known pa- rameters and in settings involving parameter estimation. These findings provide the theoretical foundation for a class of combined tests in which appropriately chosen weights regulate the contribution of individual components and can be used to enhance the overall efficiency of the testing procedure. The practical performance of the proposed methods will be assessed through extensive simulation studies and the analysis of several real data sets. The sim- ulation study will investigate the finite-sample properties of the tests under the null hypothesis and a range of relevant alternatives, while the real-data applica- tions will demonstrate their usefulness in practical statistical problems. In this way, the empirical part of the dissertation will complement the theoretical de- velopments and provide evidence of the practical applicability of the proposed methodologies.