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1. |
Record Nr. |
UNINA9910465219403321 |
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Titolo |
The neolithic settlement of Knossos in Crete : new evidence for the early occupation of Crete and the Aegean islands / / edited by Nikos Efstratiou, Alexandra Karetsou, and Maria Ntinou |
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Pubbl/distr/stampa |
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Philadelphia, Pennsylvania : , : INSTAP Academic Press, , [2013] |
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©2013 |
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ISBN |
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Descrizione fisica |
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1 online resource (xi, 217 pages) : illustrations, map |
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Collana |
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Prehistory monographs ; ; 42 |
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Disciplina |
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Soggetti |
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Neolithic period - Greece - Crete |
Land settlement patterns, Prehistoric - Greece - Crete |
Electronic books. |
Knossos (Extinct city) |
Crete (Greece) Antiquities |
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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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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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2. |
Record Nr. |
UNISA996418252603316 |
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Autore |
Wehrens Ron |
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Titolo |
Chemometrics with R [[electronic resource] ] : Multivariate Data Analysis in the Natural and Life Sciences / / by Ron Wehrens |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[2nd ed. 2020.] |
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Descrizione fisica |
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1 online resource (XVI, 308 p. 111 illus., 82 illus. in color.) |
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Collana |
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Disciplina |
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Soggetti |
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Statistics |
Chemoinformatics |
Bioinformatics |
R (Computer program language) |
Statistics for Life Sciences, Medicine, Health Sciences |
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences |
Statistical Theory and Methods |
Computer Applications in Chemistry |
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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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Introduction. - Data -- Preprocessing -- Principal Component Analysis -- Self-Organizing Maps. - Clustering -- Classification -- Multivariate Regression. - Validation -- Variable Selection -- Chemometric Applications. |
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Sommario/riassunto |
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This book offers readers an accessible introduction to the world of multivariate statistics in the life sciences, providing a comprehensive description of the general data analysis paradigm, from exploratory analysis (principal component analysis, self-organizing maps and clustering) to modeling (classification, regression) and validation (including variable selection). It also includes a special section discussing several more specific topics in the area of chemometrics, such as outlier detection, and biomarker identification. The corresponding R code is provided for all the examples in the book; and scripts, functions and data are available in a separate R package. This |
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second revised edition features not only updates on many of the topics covered, but also several sections of new material (e.g., on handling missing values in PCA, multivariate process monitoring and batch correction). . |
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