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• W52211368 abstract "LSML76 is a general purpose least squares program that is designed to analyze data under both the fixed linear model and under mixed models. The “usual” restrictions are imposed to obtain estimates of effects for discrete independent variables. Least-squares means and appropriate standard errors are given for all sets of discrete independent variables. Variance and covariance components are estimated using Henderson's Method 3. An analysis of variance is given for each dependent variable and a linear contrast option may be used to obtain tests of significance among the estimated fixed effects. Differences among a set of random effects (either cross-classified or nested) that are confounded with fixed effects being considered may be recovered with a maximum likelihood option." @default.
• W52211368 created "2016-06-24" @default.
• W52211368 creator A5052188097 @default.
• W52211368 date "1982-06-01" @default.
• W52211368 modified "2023-09-23" @default.
• W52211368 title "Mixed Model Capabilities of LSML76" @default.
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• W52211368 doi "https://doi.org/10.2527/jas1982.5461279x" @default.
• W52211368 hasPublicationYear "1982" @default.
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