Adjusted Prediction of Plant Height with Application to Greenhouse Grown Poinsettias
The objective is to predict future plant growth using data from greenhouse grown poinsettias. A population‐mean growth trajectory can be predicted from growth conditions using previously published results. Four different predictors are used to identify the local group‐effects that come in addition t...
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| Veröffentlicht in: | Biometrical journal 2001-08, Vol.43 (4), p.421-434 |
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| container_title | Biometrical journal |
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| creator | Sæbø, Solve Almøy, Trygve Snipen, Lars |
| description | The objective is to predict future plant growth using data from greenhouse grown poinsettias. A population‐mean growth trajectory can be predicted from growth conditions using previously published results. Four different predictors are used to identify the local group‐effects that come in addition to the population‐mean response to growth conditions, in order to improve the predictions of the final plant height for specific plant groups. A search for optimal model complexity and use of growth history during calibration is conducted using cross‐validation. |
| doi_str_mv | 10.1002/1521-4036(200108)43:4<421::AID-BIMJ421>3.0.CO;2-E |
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Psychology</subject><subject>General aspects</subject><subject>Growth Curves</subject><subject>Inference from stochastic processes; time series analysis</subject><subject>Mathematics</subject><subject>Poinsettia</subject><subject>Prediction</subject><subject>Prediction Error</subject><subject>Probability and statistics</subject><subject>Sciences and techniques of general use</subject><subject>Statistics</subject><issn>0323-3847</issn><issn>1521-4036</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqVkUtvEzEUhUeISoTCf5gNCBYTrh_zCggpHdI0VWkCBGV55XjuELfTmWBPlPbf4zQh3bBhZfvq-Jzjz0GQM-gzAP6BxZxFEkTyjgMwyN5LMZCfJGeDwXDyJTqbfL30h8-iD_1i-pFHo2dB73jnedADwUUkMpm-CF46dwMAOUjeC-bD8mbjOirDmaXS6M60TdhW4axWTRdekPm16sKt6VbhcL2ujVaPgq4Nx5aoWbUbR37bbptw1prGUdcZ5V4FJ5WqHb0-rKfBz_PRvLiIrqbjSTG8irQEyaKcKhEryBJeZWlKueYVaCCdlSxhrKRlGau8XDKZx5IxigWrMpHHyZLrFCpB4jR4u_dd2_b3hlyHd8Zpqn138s2QM8jzLONe-G0v1LZ1zlKFa2vulH1ABrjjiztWuGOFe74oBUr0SBE9XzzwRYGAxRQ5jrznm0O4clrVlVWNNu7J2FeGOI3F8fFbU9PDfwT_O_fvyPtGe1_jv-_-6KvsLSapSGNcXI9x8eO6OJvLBX4XfwAikaeS</recordid><startdate>200108</startdate><enddate>200108</enddate><creator>Sæbø, Solve</creator><creator>Almøy, Trygve</creator><creator>Snipen, Lars</creator><general>WILEY-VCH Verlag Berlin GmbH</general><general>WILEY‐VCH Verlag Berlin GmbH</general><general>Wiley-VCH</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope></search><sort><creationdate>200108</creationdate><title>Adjusted Prediction of Plant Height with Application to Greenhouse Grown Poinsettias</title><author>Sæbø, Solve ; Almøy, Trygve ; Snipen, Lars</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4041-9ef35a0862f877e9c2f0c0ec8d1611debd5a9db1495411e531f83956b2c70f3e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>Calibration</topic><topic>Cross Validation</topic><topic>Demecology</topic><topic>Exact sciences and technology</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>General aspects</topic><topic>Growth Curves</topic><topic>Inference from stochastic processes; time series analysis</topic><topic>Mathematics</topic><topic>Poinsettia</topic><topic>Prediction</topic><topic>Prediction Error</topic><topic>Probability and statistics</topic><topic>Sciences and techniques of general use</topic><topic>Statistics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Sæbø, Solve</creatorcontrib><creatorcontrib>Almøy, Trygve</creatorcontrib><creatorcontrib>Snipen, Lars</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><jtitle>Biometrical journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Sæbø, Solve</au><au>Almøy, Trygve</au><au>Snipen, Lars</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Adjusted Prediction of Plant Height with Application to Greenhouse Grown Poinsettias</atitle><jtitle>Biometrical journal</jtitle><addtitle>Biom. 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| ispartof | Biometrical journal, 2001-08, Vol.43 (4), p.421-434 |
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| language | eng |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences Calibration Cross Validation Demecology Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects Growth Curves Inference from stochastic processes time series analysis Mathematics Poinsettia Prediction Prediction Error Probability and statistics Sciences and techniques of general use Statistics |
| title | Adjusted Prediction of Plant Height with Application to Greenhouse Grown Poinsettias |
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