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1. |
Record Nr. |
UNISA990005845340203316 |
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Autore |
BASSU, Carla |
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Titolo |
Australia / Carla Bassu |
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Pubbl/distr/stampa |
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Bologna : Il mulino, 2012 |
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ISBN |
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Descrizione fisica |
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Collana |
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Disciplina |
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Soggetti |
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Belgio - Ordinamento istituzionale |
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Collocazione |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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2. |
Record Nr. |
UNINA9910778678303321 |
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Titolo |
Disposal of industrial and domestic wastes : land and sea alternatives / / Board on Ocean Science and Policy, Commission on Physical Sciences, Mathematics, and Resources, National Research Council |
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Pubbl/distr/stampa |
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Washington, D.C. : , : National Academy Press, , 1984 |
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ISBN |
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1-280-22219-0 |
9786610222193 |
0-309-56709-2 |
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Descrizione fisica |
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1 online resource (xiv, 210 pages) : illustrations, charts |
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Disciplina |
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Soggetti |
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Refuse and refuse disposal |
Factory and trade waste |
Environmental policy |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Consists of rev. panel reports presented at the Workshop on Land, Sea, and Air Options for the Disposal of Industrial and Domestic Wastes, held on Jan. 16-21, 1983, in Napa Valley, Calif. |
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Nota di bibliografia |
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3. |
Record Nr. |
UNINA9910311940603321 |
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Autore |
Funatogawa Ikuko |
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Titolo |
Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models / / by Ikuko Funatogawa, Takashi Funatogawa |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (X, 141 p. 27 illus.) |
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Collana |
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JSS Research Series in Statistics, , 2364-0065 |
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Disciplina |
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Soggetti |
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Statistics |
Mathematical statistics - Data processing |
Statistical Theory and Methods |
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Statistics and Computing |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Chapter 1. Linear mixed effects model -- Chapter 2. Autoregressive linear mixed effects model -- Chapter 3. Bivariate longitudinal data -- Chapter 4. State-space representation -- Chapter 5. Missing data, time dependent covariate -- Chapter 6. Pretest-Posttest data. |
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Sommario/riassunto |
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This book provides a new analytical approach for dynamic data repeatedly measured from multiple subjects over time. Random effects account for differences across subjects. Auto-regression in response itself is often used in time series analysis. In longitudinal data analysis, a static mixed effects model is changed into a dynamic one by the introduction of the auto-regression term. Response levels in this model gradually move toward an asymptote or equilibrium which depends on covariates and random effects. The book provides relationships of the autoregressive linear mixed effects models with linear mixed effects |
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models, marginal models, transition models, nonlinear mixed effects models, growth curves, differential equations, and state space representation. State space representation with a modified Kalman filter provides log likelihoods for maximum likelihood estimation, and this representation is suitable for unequally spaced longitudinal data. The extension to multivariate longitudinal data analysis is also provided. Topics in medical fields, such as response-dependent dose modifications, response-dependent dropouts, and randomized controlled trials are discussed. The text is written in plain terms understandable for researchers in other disciplines such as econometrics, sociology, and ecology for the progress of interdisciplinary research. |
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