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|x Kombinatorika. Teorie grafů. Matematická statistika. Operační výzkum. Matematické modelování
|2 Konspekt
|9 13
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1 |
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|a Gałecki, Andrzej T.
|7 xx0132218
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| 245 |
1 |
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|a Linear mixed-effects models using R :
|b a step-by-step approach /
|c Andrzej Gałecki, Tomasz Burzykowski
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| 260 |
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|a New York, NY :
|b Springer,
|c c2013
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| 300 |
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|a 542 p. :
|b ill. ;
|c 24 cm
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| 490 |
1 |
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|a Springer texts in statistics,
|x 1431-875X
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| 504 |
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|a Includes bibliographical references and indexes.
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| 505 |
0 |
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|a Introduction -- Introduction -- Case Studies -- Data Exploration -- Linear Models for Independent Observations -- Linear Models with Homogeneous Variance -- Fitting Linear Models with Homogeneous Variance: The lm() and gls() Functions -- ARMD Trial: Linear Model with Homogeneous Variance -- Linear Models with Heterogeneous Variance -- Fitting Linear Models with Heterogeneous Variance: The gls() Function -- ARMD Trial: Linear Model with Heterogeneous Variance -- Linear Fixed-effects Models for Correlated Data -- Linear Model with Fixed Effects and Correlated Errors -- Fitting Linear Models with Fixed Effects and Correlated Errors: The gls() Function -- ARMD Trial: Modeling Correlated Errors for Visual Acuity -- Linear Mixed-effects Models -- Linear Mixed-Effects Model -- Fitting Linear Mixed-Effects Models: The lme()Function -- Fitting Linear Mixed-Effects Models: The lmer() Function -- ARMD Trial: Modeling Visual Acuity -- PRT Trial: Modeling Muscle Fiber Specific-Force -- SII Project: Modeling Gains in Mathematics Achievement-Scores -- FCAT Study: Modeling Attainment-Target Scores -- Extensions of the RTools for Linear Mixed-Effects Models.
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