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| AMMI and GGE Biplot for genotype × environment interaction: a medoid–based hierarchical cluster analysis approach for high–dimensional data |
| Anderson Cristiano Neisse , Jhessica Letícia Kirch , Kuang Hongyu |
| Biometrical Letters 2018; 55(2); 97-121 |
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| An overview of statistical methods to detect and understand genotype-by-environment interaction and QTL-by-environment interaction |
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| Biometrical Letters 2018; 55(2); 123-138 |
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| Adapting Hellwig’s method for selecting concomitant variables under a certain growth curve model |
| Mirosława Wesołowska-Janczarek , Monika Różańska-Boczula |
| Biometrical Letters 2018; 55(2); 139-146 |
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| On a new approach to the analysis of variance for experiments with orthogonal block structure. |
| Tadeusz Caliński , Idzi Siatkowski |
| Biometrical Letters 2018; 55(2); 147-178 |
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| Linear Markovian models for lag exposure assessment |
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| Biometrical Letters 2018; 55(2); 179-195 |
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| Use of classification and regression trees (CART) for analyzing determinants of winter wheat yield variation among fields in Poland |
| M. Iwańska , A. Oleksy , M. Dacko , B. Skowera , T. Oleksiak , E. Wójcik-Gront |
| Biometrical Letters 2018; 55(2); 197-214 |
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| Determining the change point for the error in the Macrophyte Index for Rivers |
| Anna Budka |
| Biometrical Letters 2018; 55(2); 215-232 |
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| Entropy as a measure of dependency for categorized data |
| Ewa Skotarczak , Anita Dobek , Krzysztof Moliński |
| Biometrical Letters 2018; 55(2); 233-243 |
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