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1. |
Record Nr. |
UNINA9910455317203321 |
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Autore |
Eye Alexander von. |
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Titolo |
Configural frequency analysis : methods, models, and applications / / Alexander von Eye |
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Pubbl/distr/stampa |
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New York ; ; London : , : Routledge, , 2012 |
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ISBN |
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1-135-63086-0 |
1-282-37893-7 |
9786612378935 |
1-4106-0657-0 |
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Descrizione fisica |
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1 online resource (468 p.) |
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Disciplina |
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Soggetti |
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Discriminant analysis |
Psychometrics |
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. 401-422) and indexes. |
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Nota di contenuto |
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Book Cover; Title; Copyright; List of contents; Preface; Part 1: Concepts and Methods of CFA; 1. Introduction: The Goals and Steps of Configural Frequency Analysis; 2. Log-linear Base Models for CFA; 3. Statistical Testing in Global CFA; 4. Descriptive Measures in Global CFA; Part II: Models and Applications of CFA; 5. Global Models of CFA; 6. Regional models of CFA; 7. Comparing k Samples; Part III: Methods of Longitudinal CFA; 8. CFA of Differences; 9. CFA of Level, Variability, and Shape of Series of Observations; Part IV: The CFA Specialty File and Alternative Approaches to CFA |
10. More facets of CFA11. Alternative approaches to CFA; Part V: Computational Issues; 12. Using General Purpose Software to Perform CFA; References; Appendix A: A brief introduction to log- linear modeling; Appendix B: Table of a*-levels for the Bonferroni and Holm adjustments; Author Index; Subject Index |
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Sommario/riassunto |
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Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. Step-by-step |
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program sequences are used to show readers how to employ CFA methods using commercial software packages, such as SAS, SPSS, SYSTAT, S-Plus, or those written specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data. It allows one to answer the question of |
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2. |
Record Nr. |
UNINA9910346845903321 |
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Autore |
Zabler Simon |
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Titolo |
Phase-Contrast and Dark-Field Imaging / Simon Zabler |
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Pubbl/distr/stampa |
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
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Basel, Switzerland : , : MDPI, , 2018 |
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ISBN |
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Descrizione fisica |
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1 electronic resource (146 p.) |
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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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Sommario/riassunto |
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The intent of this Special Issue is to provide a framework with which scientists in several different disciplines, related to phase-contrast and dark-field imaging, can illustrate their ideas and results. The articles are reviews or very recent scientific reports; they address newcomers in the field, as well as experts and professors in fields of X-ray physics, electron, and phase-contrast X-ray imaging. |
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