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1. |
Record Nr. |
UNINA990009436650403321 |
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Autore |
Carboni, Paolo |
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Titolo |
Analisi quantitativa inorganica : procedimenti ponderali, metodi volumetrici, applicazioni pratiche / Paolo Carboni |
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Pubbl/distr/stampa |
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Descrizione fisica |
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Locazione |
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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. |
UNINA990006095370403321 |
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Autore |
Fitoussi, Jean-Paul <1942- > |
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Titolo |
The Slump in Europe : reconstructing Open Economy Theory / J.P. Fitoussi and E.S. Phelps |
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Pubbl/distr/stampa |
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Oxford : Basil Blackwell, 1988 |
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ISBN |
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Descrizione fisica |
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Altri autori (Persone) |
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Phelps, Edmund S. <1933- > |
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Disciplina |
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Locazione |
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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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3. |
Record Nr. |
UNINA9910967973503321 |
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Autore |
Harre Rom |
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Titolo |
Cognitive science : a philosophical introduction / / Rom Harre |
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Pubbl/distr/stampa |
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London ; ; Thousand Oaks, Calif., : SAGE Publications, 2002 |
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ISBN |
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9786611240035 |
9781446216330 |
1446216330 |
9781446241790 |
1446241793 |
9781281240033 |
1281240036 |
9781847871282 |
1847871283 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (xxii, 314 p.) : ill |
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Disciplina |
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Soggetti |
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Cognition |
Cognitive psychology |
Cognitive science |
Cognitive science - Philosophy |
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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. 305-310) and index. |
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Nota di contenuto |
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Cover; Contents; List of illustrations; List of abbreviations; Preface; Acknowledgements; How to use this book in the classroom; Part I - The nature and methods of science; 1 A science for psychology; 2 The natural sciences; 3 Understanding scientific method; Part II - The search for a science ofhuman behavior; 4 Psychology as the science of mental substances; 5 Psychology as a science of material substances; 6 The beginnings of cognitive science; Part III - Towards a scientific psychology; 7 Grammar and cognition; 8 Cognitive science: the analytical phase; 9 Connectionism and the brain |
Part IV - Cognitive science in action10 The memory machine; 11 The psychology of classifying; 12 Cognitive disorders; Epilog; References; Name index; Subject index |
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Sommario/riassunto |
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Ranging across artificial intelligence models and cognitive psychology through to recent discursive and cultural theories Rom Harre offers an original yet accessible integration of the field. |
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4. |
Record Nr. |
UNINA9910958625303321 |
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Autore |
Härdle Wolfgang |
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Titolo |
Smoothing Techniques : With Implementation in S / / by Wolfgang Härdle |
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Pubbl/distr/stampa |
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New York, NY : , : Springer New York : , : Imprint : Springer, , 1991 |
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ISBN |
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Edizione |
[1st ed. 1991.] |
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Descrizione fisica |
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1 online resource (XII, 262 p.) |
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Collana |
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Springer Series in Statistics, , 2197-568X |
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Disciplina |
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Soggetti |
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Mathematics |
Applications of Mathematics |
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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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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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I. Density Smoothing -- 1. The Histogram -- 2. Kernel Density Estimation -- 3. Further Density Estimators -- 4. Bandwidth Selection in Practice -- II. Regression Smoothing -- 5. Nonparametric Regression -- 6. Bandwidth Selection -- 7. Simultaneous Error Bars -- Tables -- Solutions -- List of Used S Commands -- Symbols and Notation -- References. |
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Sommario/riassunto |
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The author has attempted to present a book that provides a non-technical introduction into the area of non-parametric density and regression function estimation. The application of these methods is discussed in terms of the S computing environment. Smoothing in high dimensions faces the problem of data sparseness. A principal feature of smoothing, the averaging of data points in a prescribed neighborhood, is not really practicable in dimensions greater than three if we have just one hundred data points. Additive models provide a way out of this dilemma; but, for their interactiveness and recursiveness, they require highly effective algorithms. For this purpose, the method of WARPing (Weighted Averaging using Rounded Points) is described in great detail. |
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