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1. |
Record Nr. |
UNINA9910464105203321 |
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Autore |
Vanier Catherine |
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Titolo |
Premature birth : the baby, the doctor and the psychoanalyst / / by Catherine Vanier |
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Pubbl/distr/stampa |
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Boca Raton, FL : , : Routledge, an imprint of Taylor and Francis, , [2018] |
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©2015 |
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ISBN |
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0-429-90326-X |
0-367-10263-3 |
0-429-47849-6 |
1-78241-267-0 |
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Descrizione fisica |
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1 online resource (277 p.) |
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Collana |
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Centre for Freudian Analysis and Research Library |
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Disciplina |
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Soggetti |
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Parent and infant |
Premature infants - Care |
Premature infants |
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 and index. |
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Nota di contenuto |
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COVER; CONTENTS; ACKNOWLEDGEMENTS; ABOUT THE AUTHOR; ACRONYMS; TRANSLATOR'S NOTE; INTRODUCTION On being premature: babies, their doctors, and their psychoanalysts; CHAPTER ONEP sychoanalysis and neonatal resuscitation; CHAPTER TWO Working with families; CHAPTER THREE Babies who "walk the tightrope"; CHAPTER FOUR Working with the team; CHAPTER FIVE Former premature babies; CHAPTER SIX A place for the psychoanalyst?; REFERENCES; INDEX |
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Sommario/riassunto |
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If advances in medical technology now allow babies to be born earlier and survive premature birth, what of the psychical impact of this emergence into the world? What consequences can premature birth have for babies, for their families, and for the medical staff around them? In this exciting and inspiring study, the author describes the work she has undertaken over the past twenty years in a neonatal intensive care unit. She shows how a sensitivity to the subjective experience of all concerned can have dramatic effects, and how a |
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psychoanalytic ear can allow us to understand both the problems and the progress of prematurely born babies in a new way. |
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2. |
Record Nr. |
UNINA9910812036803321 |
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Autore |
Shevlyakov Georgy L. |
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Titolo |
Robust correlation : theory and applications / / Georgy L. Shevlyakov, Hannu Oja |
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Pubbl/distr/stampa |
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Chichester, England : , : Wiley, , 2016 |
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©2016 |
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ISBN |
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1-119-26449-9 |
1-119-26453-7 |
1-119-26450-2 |
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Descrizione fisica |
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1 online resource (353 p.) |
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Collana |
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Wiley Series in Probability and Statistics |
THEi Wiley ebooks |
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Disciplina |
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Soggetti |
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Correlation (Statistics) |
Mathematical statistics |
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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 at the end of each chapters and index. |
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Nota di contenuto |
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Cover; Title Page; Copyright; Dedication; Contents; Preface; Acknowledgements; About the Companion Website; Chapter 1 Introduction; 1.1 Historical Remarks; 1.2 Ontological Remarks; 1.2.1 Forms of data representation; 1.2.2 Types of data statistics; 1.2.3 Principal aims of statistical data analysis; 1.2.4 Prior information about data distributions and related approaches to statistical data analysis; References; Chapter 2 Classical Measures of Correlation; 2.1 Preliminaries; 2.2 Pearson's Correlation Coefficient: Definitions and Interpretations; 2.2.1 Introductory remarks |
2.2.2 Correlation via regression2.2.3 Correlation via the coefficient of determination; 2.2.4 Correlation via the variances of the principal components; 2.2.5 Correlation via the cosine of the angle between the variable vectors; 2.2.6 Correlation via the ratio of two means; 2.2.7 Pearson's correlation coefficient between random events; 2.3 |
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Nonparametric Measures of Correlation; 2.3.1 Introductory remarks; 2.3.2 The quadrant correlation coefficient; 2.3.3 The Spearman rank correlation coefficient; 2.3.4 The Kendall -rank correlation coefficient; 2.3.5 Concluding remark |
2.4 Informational Measures of Correlation2.5 Summary; References; Chapter 3 Robust Estimation of Location; 3.1 Preliminaries; 3.2 Huber's Minimax Approach; 3.2.1 Introductory remarks; 3.2.2 Minimax variance M-estimates of location; 3.2.3 Minimax bias M-estimates of location; 3.2.4 L-estimates of location; 3.2.5 R-estimates of location; 3.2.6 The relations between M-, L- and R-estimates of location; 3.2.7 Concluding remarks; 3.3 Hampel's Approach Based on Influence Functions; 3.3.1 Introductory remarks; 3.3.2 Sensitivity curve; 3.3.3 Influence function and its properties |
3.3.4 Local measures of robustness3.3.5 B- and V-robustness; 3.3.6 Global measure of robustness: the breakdown point; 3.3.7 Redescending M-estimates; 3.3.8 Concluding remark; 3.4 Robust Estimation of Location: A Sequel; 3.4.1 Introductory remarks; 3.4.2 Huber's minimax variance approach in distribution density models of a non-neighborhood nature; 3.4.3 Robust estimation of location in distribution models with a bounded variance; 3.4.4 On the robustness of robust solutions: stability of least informative distributions; 3.4.5 Concluding remark; 3.5 Stable Estimation; 3.5.1 Introductory remarks |
3.5.2 Variance sensitivity3.5.3 Estimation stability; 3.5.4 Robustness of stable estimates; 3.5.5 Maximin stable redescending M-estimates; 3.5.6 Concluding remarks; 3.6 Robustness Versus Gaussianity; 3.6.1 Introductory remarks; 3.6.2 Derivations of the Gaussian distribution; 3.6.3 Properties of the Gaussian distribution; 3.6.4 Huber's minimax approach and Gaussianity; 3.6.5 Concluding remarks; 3.7 Summary; References; Chapter 4 Robust Estimation of Scale; 4.1 Preliminaries; 4.1.1 Introductory remarks; 4.1.2 Estimation of scale in data analysis; 4.1.3 Measures of scale defined by functionals |
4.2 M- and L-Estimates of Scale |
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