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1. |
Record Nr. |
UNINA9910450523703321 |
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Autore |
McManus Mick <1943, > |
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Titolo |
Troublesome behaviour in the classroom : meeting individual needs / / Mick McManus |
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Pubbl/distr/stampa |
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London ; ; New York : , : Routledge, , 1995 |
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ISBN |
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1-282-77776-9 |
9786612777769 |
1-134-82905-1 |
0-203-13282-3 |
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Edizione |
[2nd ed.] |
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Descrizione fisica |
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1 online resource (251 p.) |
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Disciplina |
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Soggetti |
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Classroom management |
School children - Discipline |
Problem children - Education |
School discipline |
Electronic books. |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. [222]-231) and index. |
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Nota di contenuto |
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Book Cover; Title; Contents; List of illustrations; Preface; Concerns, causes and remedies; Exclusion from school; Teacher qualities and classroom management skills; Pupil perspectives, motives and strategies; Controlling stress and confrontations; Individuals in context; Putting learning into practice; Further reading; References; Index |
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Sommario/riassunto |
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The fully updated second edition of Troublesome Behaviour in the Classroom is the most comprehensive and practical guide available on the subject of behaviour management in schools. Distinguished by Mick McManus' lively and witty writing style, it is packed with practical ideas, activities, insights and solutions which will be invaluable to all teacher training students and classroom teachers. |
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2. |
Record Nr. |
UNINA9910304132703321 |
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Autore |
Kaeding Matthias |
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Titolo |
Bayesian Analysis of Failure Time Data Using P-Splines / / by Matthias Kaeding |
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Pubbl/distr/stampa |
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Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Spektrum, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (117 p.) |
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Collana |
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Disciplina |
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Soggetti |
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Probabilities |
Medicine - Research |
Biology - Research |
Bioinformatics |
Probability Theory |
Biomedical Research |
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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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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Relative Risk and Log-Location-Scale Family -- Bayesian P-Splines -- Discrete Time Models -- Continuous Time Models. |
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Sommario/riassunto |
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Matthias Kaeding discusses Bayesian methods for analyzing discrete and continuous failure times where the effect of time and/or covariates is modeled via P-splines and additional basic function expansions, allowing the replacement of linear effects by more general functions. The MCMC methodology for these models is presented in a unified framework and applied on data sets. Among others, existing algorithms for the grouped Cox and the piecewise exponential model under interval censoring are combined with a data augmentation step for the applications. The author shows that the resulting Gibbs sampler works well for the grouped Cox and is merely adequate for the piecewise exponential model. Contents Relative Risk and Log-Location-Scale Family Bayesian P-Splines Discrete Time Models Continuous Time |
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Models Target Groups Researchers and students in the fields of statistics, engineering, and life sciences Practitioners in the fields of reliability engineering and data analysis involved with lifetimes The Author Matthias Kaeding obtained his Master of Science degree at the University of Bamberg in Survey Statistics. |
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