Działalność naukowo-badawcza:

•  planowanie i ocena eksperymentu płodozmianowego,
•  porównywanie heteroscedastycznych modeli regresji,
•  wielozmienne metody krzywych wzrostu ze zmiennymi towarzyszącymi,
•  wielozmienne metody regresyjne ze szczególnym uwzględnieniem krzywych wzrostu,
•  nowe ujęcie metod regresyjnych z powtarzanym obserwacjami,
•  modelowanie i analiza doświadczeń czynnikowych z powtarzanymi pomiarami,
•  metody statystyczne w zarządzaniu jakością,
•  badania nad liczebnością próby w doświadczeniach z inżynierii rolniczej.

Kierownik

dr Urszula Bronowicka-Mielniczuk - adiunkt

ul. Głęboka 28, pokój nr 220
tel. (0-81) 531 96 26
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Profesorowie uczelni

dr hab. Anieszka Kubik-Komar, prof. uczelni

ul. Głęboka 28, pokój nr 211
tel. (0-81) 531 96 21
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Adiunkci

dr Magdalena Ćwiklińska - adiunkt

ul. Głęboka 28, pokój nr 209
tel. (0-81) 531 96 19
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dr Małgorzata Szczepanik - adiunkt

ul. Głęboka 28, pokój nr 214
tel. (0-81) 531 96 24
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dr Monika Różańska-Boczula - adiunkt

ul. Głęboka 28, pokój nr 224
tel. (0-81) 531 96 29
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Pracownicy inżynieryjno-techniczni

mgr Marta Nowak – specjalista

ul. Głęboka 28, pokój nr 211
tel. (0-81)531 96 21
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The section was established in 1973 by a team of researchers specialising in experimental theory and biometrics. Professor Tadeusz Przybysz led the section until 2000, after which Professor Mirosława Wesołowska-Janczarek took over. She held the position until 2011. Dr Izabela Kuna-Broniowska then took the lead and remained in charge until 2020. On 1 October 2020, the department was renamed the Laboratory of Experimental Theory and Biometry, with Dr Urszula Bronowicka-Mielniczuk becoming its new head.

Research 

Scientific research conducted at the Laboratory focuses primarily on the theory of experiment and applications of mathematical statistics in agricultural sciences, including agricultural engineering. Research topics include linear models of one and many variables, analysis of variance and covariance of various experimental systems, analysis of crop rotation experiments, estimation of parameters and study of their properties, study of effectiveness of systems, analysis of factorial experiments taking into account a control object, regression analysis, as well as analysis of growth curves taking into account accompanying variables. It also covered methods for estimating variance and covariance components in random and mixed models, and problems associated with determining sample size:

• development of single and multivariable linear models for systems in crop rotation experiments
• determine conditions for estimability of parameters and hypothesis testing
• determination of the efficiency of these systems
• methods of analysis of variance and covariance
• provide an evaluation of the relative power of formulations in the most commonly used experimental systems used in agricultural research
• to generalise Henderson's methods for estimating variance components to multiple variables
• to develop different models for growth curves with time-varying background variables
• Clarification of the conditions for estimability of parameters in the different variants of the profile sum model
• generalisation of the Behoffer's theorem for determining sample sizes
• to provide a new indicator for testing the goodness of fit of estimated functions
• demonstrating the applicability of the multivariate growth curve method for the determination of regression equations and their comparison for different groups of objects under the assumption of heteroscedasticity of variance
• comparing different tests for verifying hypotheses on the identity of regression equations for the studied groups

The section was established in 1973 by a team of researchers spe­cia­li­sing in ex­pe­ri­men­tal theory and biometrics. Profes­sor Tadeusz Przy­bysz led the sec­tion until 2000, after which Professor Mi­ros­ła­wa We­so­łow­s­ka-­Jan­cza­rek took over. She held the posi­tion until 2011. Dr Izabela Kuna-­Bro­niow­s­ka then took the lead and remained in charge until 2020. On 1 October 2020, the de­part­ment was re­na­med the La­bo­ra­to­ry of Ex­pe­ri­men­tal Theory and Bio­met­ry, with Dr Urszula Bro­no­wic­ka-­Miel­ni­czuk becoming its new head.

The section's scientific research primarily focuses on the theory of experi­men­ta­tion and the ap­pli­ca­tion of mathematical statistics in ag­ri­cul­tu­ral science and enginee­ring. Topics covered include linear models, analysis of variance and covariance in various em­pi­ri­cal set­tings, pa­ra­me­ter estimation techniques and op­timal ex­pe­ri­men­tal de­sign, analysis and efficiency of crop rotation experiments, factorial ex­pe­ri­ments with a con­t­rol object, growth curve models with concomitant variables. The research also co­vers the estimation of va­rian­ce and co­va­rian­ce components in random and mixed mo­dels, as well as as­so­cia­ted sample si­ze issues.