Lancashire School of Business and Enterprise
Greenbank Building, GR55
+44 (0) 1772 89 4673
Tatjana's research work has helped to develop her knowledge and skills within the area of applied statistical modelling, and in particular within quantile regression modelling, which is now regarded as a practical tool for researchers. As such, the area of her research enhances the opportunities for cross discipline research projects.
Ph.D. Statistics, University of Manchester, UK, 2011
The evolution of the Boka Kotorska as a sustainable urban ecological entity, 2012 - date. In collaboration with School of Art, Design and Performance, UCLan
This study focuses on the development of the Boka Kotorska region of Montenegro. The quantiﬁable beneﬁts of sustainable economic growth brought about by speciﬁc project developments are assessed against the established benchmarks through the use of the appropriate data analysis methodologies.
Constructing the reference growth charts for Saudi Arabian children and adolescents, 2006 - 2011. In collaboration with King Saud University, Riyadh
The purpose of this study was to provide Saudi Arabian population reference growth standards for height, weight, body mass index (BMI), head circumference and weight for length/stature. The estimated distribution centiles are obtained by splitting the population into two separate age groups: infants, birth to 36 months of age and children and adolescents, age 2 -19 years. The reference values were derived from cross-sectional data comprised of 51,485 observations using the LMS method of Cole and Green (Stat. in Medicine 1992; 11:1305-1319) in R.
Antagonistic relationships between fungi and nematodes, 2011. In collaboration with Institute for Plant Protection and Environment, Belgrade
The aim of this study was to conﬁrm the inﬂuence of particular set of fungi on the scion of the nematodes. To analyse the problem, the proportions of successful scion of the nematodes inﬂuenced by the selected fungi were observed. This provide a continuous variable in the interval [0, 1] that can be analysed using a general linear model (GLM) (McCullagh and Nelder, 1989). In particular, this response can be treated as quasi-binomial variable for which a quasi-GLM was ﬁtted with a logit link and the variance function of the form µ^2 (1 - µ)^2 (Wedderburn, 1974). The model was developed using R.
The Higher Education Academy
Livesey Research Awards, UCLan, 2008/09.
Course Leader for part-time undergraduate Business Administration Business Study, BA(Hons).
Module leader for Quantitative Financial Modelling, postgraduate programme.
Module leader for Business Statistics, a Year 3 undergraduate elective module.
Module leader for Market Modelling, a Year 3 undergraduate module on Business Administration Degree.
Module leader for Business Analysis, a Year 2 undergraduate module on part-time Business
Module leader for Business Decision Modelling, a Year 2 undergraduate module on part-time Business Administration Degree.