OECD ülkelerinin belediye katı atık yönetiminde mevcut ve gelecekteki verimliliğinin değerlendirilmesi

Burg, JP. (1975). Maximum Entropy Spectral Analysis. Retrieved from http://sepwww.stanford.edu/theses/sep06/

Chen, D.M.C., Bodirsky, B.L., Krueger, T., Mishra, A., Popp, A. (2020). The world's growing municipal solid waste: trends and impacts. Environmental Research Letters, 15, 074021, DOI 10.1088/1748-9326/ab8659

Retrieved from https://iopscience.iop.org/article/10.1088/1748-9326/ab8659

Kaza, S., Yao, L. Bhada-Tata, P., and Van Woerden, F. (2018). What a Waste 2.0: A Global Snapshot of Solid Waste Management to 2050. The World Bank. Retrieved from https://datatopics.worldbank.org/what-a-waste/

Kolekar, K.A., Hazra, T., Chakrabarty, S.N. (2016). A Review on Prediction of Municipal Solid Waste Generation Models, Procedia Environmental Sciences, 35, 238-244, ISSN 1878-0296, https://doi.org/10.1016/j.proenv.2016.07.087.

Retrieved from https://www.sciencedirect.com/science/article/pii/S1878029616301761

OECD (2023a). Who we are. Retrieved from Oecd.org/about/

OECD (2023b). Time series of Municipal waste generated in Tonnes, Thousands. Retrieved from https://stats.oecd.org/index.aspx?DataSetCode=MUNW

Renaud, O., Starck, J.L., & Murtagh, F. (2002). Wavelet-based Forecasting Short and Long Memory Time Series. Cahiers du departement d’econometrie, Universite de Geneve, 4.

Rostan, P., Belhachemi, R., & Rostan, A. (2015). Appraising the financial sustainability of a pension system with signal processing. Studies of Applied Economics, 33(3), 1-16. doi: http://dx.doi.org/10.25115/eea.v33i3.3134 Retrieved from http://ojs.ual.es/ojs/index.php/eea/article/view/3134

Rostan, P., Belhachemi, R., & Racicot, F.E. (2017). Forecasting the yield curve with the Burg model. Journal of Forecasting, 36(1), 91-99. doi: 10.1002/for.2416 Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1002/for.2416

Rostan, P., & Rostan, A. (2017). Population Projections and Pension System Sustainability. Saarbrücken: Lambert Academic Publishing. ISBN 978-620-2-06479-8 Retrieved from https://www.morebooks.de/gb/search?utf8=%E2%9C%93&q=978-620-2-06479-8

Rostan, P., & Rostan, A. (2018a). The versatility of spectrum analysis for forecasting financial time series. The Journal of Forecasting, 37(3), 327-339. doi: https://doi.org/10.1002/for.2504

Rostan, P., & Rostan, A. (2018b). Will Saudi Arabia Get Older? Will its pension system be sustainable? Spectral Answers. PSU Research Review, 2(3), 189-205. doi: https://doi.org/10.1108/PRR-12-2017-0045 Retrieved from https://www.emeraldinsight.com/doi/full/10.1108/PRR-12-2017-0045 .

Rostan, P., & Rostan, A. (2018c). Forecasting Spanish and Euro Area GDPs with Spectral Analysis. Estudios De Economía Aplicada, 36(1), 217-234. Retrieved from https://dialnet.unirioja.es/servlet/articulo?codigo=6283924

Rostan, P., & Rostan, A. (2018d). Where is Greek’s Economy Heading? International Journal of Management and Applied Science (IJMAS), 4(3), 28-31. Retrieved from http://ijmas.iraj.in/paper_detail.php?paper_id=11490&name=Where_is_Greece%E2%80%99s_Economy_Heading?_A_Spectral_Perspective

Rostan, P., & Rostan, A. (2019). When will European Muslim Population be majority and in which country. PSU Research Review, 3(2). doi: https://doi.org/10.1108/PRR-12-2018-0034 Retrieved from https://www.emerald.com/insight/content/doi/10.1108/PRR-12-2018-0034/full/html

Rostan, P., & Rostan, A. (2020). Where is Austria’s Economy Heading? Economic and Business Review, 22(1), 105-130. doi: https://doi.org/10.15458/ebr97. Retrieved from https://www.ebrjournal.net/uploads/ebr/public/document/13-ebr_221_d_rostan_barvni_en.pdf

Rostan, P., & Rostan, A. (2021a). Where is Saudi Arabia’s Economy Heading? International Journal of Emerging Markets, 16(8), 2009-2033. doi: https://doi.org/10.1108/IJOEM-08-2018-0447). Retrieved from https://www.emerald.com/insight/content/doi/10.1108/IJOEM-08-2018-0447/full/html

Rostan, P., & Rostan, A. (2021b). Where are fossil fuels prices heading? International Journal of Energy Sector Management, 15(2), 309-327. doi: https://doi.org/10.1108/IJESM-07-2019-0009. Retrieved from https://www.emerald.com/insight/content/doi/10.1108/IJESM-07-2019-0009/full/html

Rostan, P., & Rostan, A. (2022a). 2050 Projections of the Persian Gulf Economies. Iranian Economic Review, 26(2), 269-288. doi: 10.22059/ier.2022.88164. Retrieved from https://ier.ut.ac.ir/article_88164.html

Rostan, P., & Rostan, A. (2022b). Assessing the Resilience of Turkey’s Economy during the Covid-19 Pandemic with its 2050 Projections. Journal of Emerging Economies & Policy, 7(2), 38-49. Retrieved from https://dergipark.org.tr/en/download/article-file/2595010

Rostan, P., & Rostan, A. (2022c). Assessing The Resilience of UK’s Economy After the Covid-19 Pandemic and Brexit. Online Journal Modelling the New Europe, 40, 47-77. doi: 10.24193/OJMNE.2022.40.03. Retrieved from http://neweurope.centre.ubbcluj.ro/wp-content/uploads/2022/12/3.pdf

Rostan, P., & Rostan, A. (2023a). How Australia’s economy gained momentum because of Covid-19. Australian Economic Papers, doi: https://doi.org/10.1111/1467-8454.12308. Retrieved from https://onlinelibrary.wiley.com/doi/abs/10.1111/1467-8454.12308

Rostan, P., & Rostan, A. (2023b). How South Korea’s economy gained momentum because of Covid-19, Studies of Applied Economics, 41(2). doi: 10.25115/sae.v41i2.9096, Retrieved from https://ojs.ual.es/ojs/index.php/eea/article/view/9096

Rostan, P., & Rostan, A. (2023c). The Benefit of the Covid-19 Pandemic on Global Temperature Projections, Journal of Forecasting, DOI: https://doi.org/10.1002/for.3011, Retrieved from https://onlinelibrary.wiley.com/doi/10.1002/for.3011

Rostan, P., & Rostan, A. (2023d). How Brazil’s, Mexico’s and Argentina’s economies coped with the Covid-19 pandemic, Studies of Applied Economics, article in press.

Rostan, P., & Rostan A. (2023e). How Cyprus’ Economy Coped With The Covid-19 Pandemic, Online Journal Modelling The New Europe, vol. 42, pp. 109-137, September 2023, DOI: 10.24193/OJMNE.2023.42.06 Retrieved from http://neweurope.centre.ubbcluj.ro/wp-content/uploads/2023/09/06-rostan.pdf

Rostan, P., Rostan, A., & Nurunnabi, M. (2023a). Forewarned is forearmed: Forecasting expansions and contractions of the Saudi economy. Journal of Emerging Economies & Policy, 8 (1), 178-190, Retrieved from https://dergipark.org.tr/tr/download/article-file/3051860

Rostan, P., Rostan, A. & Wall, J. (2023b). Measuring the resilience to the Covid-19 pandemic of Eurozone Economies with their 2050 forecasts, Computational Economics, DOI: 10.1007/s10614-023-10425-z, article in press

Sanjrani, M. A., PirBux, M., Bux, B. K., Bhutto, S. H., & Shaikh, R. (2023). Impact of Plastic waste on the environment and humans health in Pakistan: Effective Waste Management Strategies and sustainable solutions. Journal of Recycling Economy & Sustainability Policy, 2(1), 34–41. Retrieved from https://respjournal.com/index.php/pub/article/view/18

Stoica, P., & Moses, R. (2005). Spectral Analysis of Signals. Upper Saddle River, NJ: Prentice Hall.

Teshome, Y.M., Habtu, N.G., Molla, M.B, Ulsido, M.D. (2023). Municipal solid wastes quantification and model forecasting. Global Journal of Environmental Science and Management, 9(2), 227-240, DOI: 10.22034/gjesm.2023.02.04, Retrieved from https://www.gjesm.net/article_254253_c7e9eddd4ebdadfdd1a4a1f323f374d9.pdf

US EPA (2023). US Environmental Protection Agency. Municipal Solid Waste. Retrieved from https://archive.epa.gov/epawaste/nonhaz/municipal/web/html/

Valens, C. (1999). A Really Friendly Guide to Wavelets. Retrieved from http://agl.cs.unm.edu/~williams/cs530/arfgtw.pdf