Publikacje
Rozprawa doktorska
Smaga Ł. (2013) D-optymalne chemiczne układy wagowe przy różnych postaciach macierzy kowariancji błędów losowych, Wydział Matematyki i Informatyki, Uniwersytet im. Adama Mickiewicza w Poznaniu. linkRozprawa habilitacyjna
Smaga Ł. (2020) Wybrane testy statystyczne dla danych rzeczywistych i funkcjonalnych, Wydział Matematyki i Informatyki, Uniwersytet im. Adama Mickiewicza w Poznaniu.Publikacje
Artykuły naukowe
1. Smaga Ł. (2024) Projection tests for linear hypothesis in the functional response model. Communications in Statistics - Theory and Methods 53, 1402-1419. link 2. Reszke M., Smaga Ł. (2023) Machine learning methods in the detection of brain tumors. Biometrical Letters 60, 125-148. link 3. Ogłoszka A.M., Smaga Ł. (2022) Classification methods in the diagnosis of breast cancer. Biometrical Letters 59, 99-126. link 4. Zhang J-T., Smaga Ł. (2022) Two-sample test for equal distributions in separate metric space: New maximum mean discrepancy based approaches. Electronic Journal of Statistics 16, 4090-4132. link 5. Ditzhaus M., Smaga Ł. (2022) Permutation test for the multivariate coefficient of variation in factorial designs. Journal of Multivariate Analysis 187, 104848. link 6. Krzyśko M., Smaga Ł., Kokoszka P. (2022) Marginal distance and Hilbert-Schmidt covariances-based independence tests for multivariate functional data. Journal of Artificial Intelligence Research 73, 1355-1384. link 7. Jasiczak J., Kanoniczak M., Smaga Ł. (2022) Stochastic number of concrete families and the likelihood of such a value. Archives of Civil Engineering LXVIII, 27-44. link 8. Smaga Ł. (2021) General linear hypothesis testing in functional response model. Communications in Statistics - Theory and Methods 50, 5068-5083.link 9. Chwiałkowska J., Smaga Ł., Oleskowicz-Popiel P. (2021) Operating parameters in open culture fermentation of sugars. Biosystems Engineering 210, 78-90.link 10. Krzyśko M., Wołyński W., Domin M., Hanusz Z., Rydzak L., Smaga Ł., Wojtyła A. (2021) Functional analysis of the differences in the dimensions of two types of boiled and steamed rice grains. International Journal of Food Science, Article ID 5546016, 1-12.link 11. Krzyśko M., Smaga Ł. (2021) Two-sample tests for functional data using characteristic functions. Austrian Journal of Statistics 50, 53-64. 12. Smaga Ł. (2021) One-way repeated measures ANOVA for functional data. In: Chadjipadelis T., Lausen B., Markos A., Lee T.R., Montanari A., Nugent R. (eds) Data Analysis and Rationality in a Complex World. IFCS 2019. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Cham. 243-251 https://doi.org/10.1007/978-3-030-60104-1_27 13. Jarno K., Smaga Ł. (2020) The use of the bootstrap method for the assessment of investment effectiveness and risk - the case of confidence intervals estimation for the Sharpe ratio and TailVaR. Journal of Banking and Financial Economics 13(1), 33-43.link 14. Smaga Ł. (2020) Inference for general MANOVA based on ANOVA-type statistic. In: Imaizumi T., Okada A., Miyamoto S., Sakaori F., Yamamoto Y., Vichi M. (eds) Advanced Studies in Classification and Data Science. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Singapore. 241-254. link 15. Krzyśko M., Smaga Ł. (2020) Measuring and testing mutual dependence of multivariate functional data. Statistics in Transition new series 21, 21-37. link 16. Pauly M., Smaga Ł. (2020) Asymptotic permutation tests for coefficients of variation and standardised means in general one-way ANOVA models. Statistical Methods in Medical Research 29, 2733-2748. link 17. Smaga Ł., Zhang J.-T. (2020) Linear hypothesis testing for weighted functional data with applications. Scandinavian Journal of Statistics 47, 493-515. link 18. Smaga Ł. (2020) A note on repeated measures analysis for functional data. AStA Advances in Statistical Analysis 104, 117-139. link 19. Krzyśko M., Smaga Ł. (2020) Robust multivariate functional discriminant coordinates. Communications in Statistics - Simulation and Computation 49(3), 717-733. link 20. Blinch J., Flindall J.W., Smaga Ł., Jung K., Gonzalez C.L.R. (2019) The left cerebral hemisphere may be dominant for the control of bimanual symmetric reach-to-grasp movements. Experimental Brain Research 237(12), 3297-3311. link 21. Kubacka M., Smaga Ł. (2019) Effectiveness of Natura 2000 areas for environmental protection in 21 European countries. Regional Environmental Change 19(7), 2079-2088. link 22. Smaga Ł. (2019) Projection-based repeated measures analysis for functional data. Steland, A., Rafajłowicz, E., Okhrin, O. (eds.) Stochastic Models, Statistics and Their Applications, Springer Proceedings in Mathematics and Statistics 294, pp. 229-237. link 23. Smaga Ł. (2019) Repeated measures analysis for functional data using Box-type approximation - with applications. REVSTAT - Statistical Journal 17(4), 523-549. link 24. Krzyśko M., Smaga Ł. (2019) A multivariate coefficient of variation for functional data. Statistics and Its Interface 12(4), 647-658. link 25. Górecki T., Smaga Ł. (2019) fdANOVA: An R software package for analysis of variance for univariate and multivariate functional data. Computational Statistics 34(2), 571-597. link 26. Krzyśko M., Smaga Ł. (2019) Robust estimation in canonical correlation analysis for multivariate functional data. Hacettepe Journal of Mathematics and Statistics 48(2), 521-535. link 27. Smaga Ł., Zhang J.-T. (2019) Linear hypothesis testing with functional data. Technometrics 61(1), 99-110. link 28. Lach A., Smaga Ł. (2018) Comparison of the goodness-of-fit tests for truncated distributions. Przegląd Statystyczny LXV(3), 296-313. link 29. Smaga Ł., Matsui H. (2018) A note on variable selection in functional regression via random subspace method. Statistical Methods and Applications 27, 455-477. link 30. Krzyśko M., Smaga Ł. (2018) Selected robust logistic regression specification for classification of multi-dimensional functional data in presence of outliers. Acta Universitatis Lodziensis. Folia Oeconomica 2 (334), 53-66. link 31. Smaga Ł. (2017) Bootstrap methods for multivariate hypothesis testing. Communications in Statistics - Simulation and Computation 46, 7654-7667. link 32. Smaga Ł. (2017) A two-sample test based on cluster subspaces for equality of mean vectors in high dimension. Discussiones Mathematicae Probability and Statistics 37, 147-156. link 33. Jasiczak J., Kanoniczak M., Smaga Ł. (2017) Division of series of concrete compressive strength results into concrete families in terms of seasons within annual work period. Journal of Computer Engineering & Information Technology 6:6, DOI: 10.4172/2324-9307.1000187. link 34. Krzyśko M., Smaga Ł. (2017) An application of functional multivariate regression model to multiclass classification. Statistics in Transition new series 18, 433-442. link 35. Smaga Ł. (2017) E-optimal and highly E-efficient designs with n=3 (mod 4) correlated observations. Linear and Multilinear Algebra 65, 2293-2305. link 36. Katulska K., Smaga Ł. (2017) On highly D-efficient designs with non-negatively correlated observations. REVSTAT Statistical Journal 15, 443-453. link Supplementary Materials 37. Górecki T., Smaga Ł. (2017) Multivariate analysis of variance for functional data. Journal of Applied Statistics 44, 2172-2189. link 38. Smaga Ł. (2017) Diagonal and unscaled Wald-type tests in general factorial designs. Electronic Journal of Statistics 11, 2613-2646. link 39. Smaga Ł. (2016) A note on the D-optimality and D-efficiency of nonorthogonal blocked main effects plans. Biometrical Letters 53, 119-131. link 40. Smaga Ł. (2016) A note on D-optimal chemical balance weighing designs with autocorrelated observations. Statistical Papers 57, 721-730. link pdf 41. Katulska K., Smaga Ł. (2016) D-optimal and highly D-efficient designs with non-negatively correlated observations. Kybernetika 52, 575-588. link pdf Supplementary Materials 42. Górecki T., Smaga Ł. (2015) A comparison of tests for the one-way ANOVA problem for functional data. Computational Statistics 30, 987-1010. link 43. Smaga Ł. (2015) Wald-type statistics using {2}-inverses for hypothesis testing in general factorial designs. Statistics and Probability Letters 107, 215-220. link 44. Smaga Ł. (2015) Uniquely E-optimal designs with n=2 (mod 4) correlated observations. Linear Algebra and its Applications 473, 297-315. link 45. Jasiczak J., Kanoniczak M., Smaga Ł. (2015) Stochastic identity of test result series of the compressive strength of concrete in industrial production conditions. Archives of Civil and Mechanical Engineering 15, 584-592. link 46. Jasiczak J., Kanoniczak M., Smaga Ł. (2014) Normowe pojęcie rodzina betonów na przykładzie ciągłej produkcji płyt Spiroll. Budownictwo i Architektura 13, 99-108. link pdf 47. Katulska K., Smaga Ł. (2014) A note on D-efficiency of biased chemical balance weighing designs. Colloquium Biometricum 44, 25-34. link pdf 48. Jasiczak J., Kanoniczak M., Smaga Ł. (2014) Statistical division of compressive strength results on the aspect of concrete family concept. Computers and Concrete 14, 145-161. link 49. Smaga Ł. (2014) Necessary and sufficient conditions in the problem of D-optimal weighing designs with autocorrelated errors. Statistics and Probability Letters 92, 12-16. link 50. Katulska K., Smaga Ł. (2013) A note on D-optimal chemical balance weighing designs and their application. Colloquium Biometricum 43, 37-45. link pdf 51. Katulska K., Smaga Ł. (2013) D-optimal chemical balance weighing designs with autoregressive errors. Metrika 76:3, 393-407. link 52. Katulska K., Smaga Ł. (2012) On some D-optimal chemical balance weighing design with n=2 (mod 4). Colloquium Biometricum 42, 67-75. link pdf 53. Katulska K., Smaga Ł. (2012) D-optimal chemical balance weighing designs with n=0 (mod 4) and 3 objects. Communications in Statistics - Theory and Methods 41:13-14, 2445-2455. link 54. Katulska K., Smaga Ł. (2011) D-optimal biased chemical balance weighing designs. Colloquium Biometricum 41, 143-153. link pdf 55. Katulska K., Smaga Ł. (2010) On some construction of D-optimal chemical balance weighing designs. Colloquium Biometricum 40, 155-164. link pdf
Artykuły popularnonaukowe
1. Smaga Ł. (2016) Regresja liniowa, czyli o zastosowaniu funkcji liniowej w analizie statystycznej II. Poznańska Fundacja Matematyczna. link 2. Smaga Ł. (2016) Regresja liniowa, czyli o zastosowaniu funkcji liniowej w analizie statystycznej. Poznańska Fundacja Matematyczna. link
