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1. |
Record Nr. |
UNINA9910788034003321 |
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Autore |
Lieberman Sue |
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Titolo |
After genocide : how ordinary Jews face the Holocaust / / by Sue Lieberman |
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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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©2014 |
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ISBN |
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0-429-91065-7 |
0-429-89642-5 |
0-367-10306-0 |
0-429-47165-3 |
1-78241-333-2 |
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Descrizione fisica |
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1 online resource (273 p.) |
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Disciplina |
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Soggetti |
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Anglican Communion - Clergy |
Genocide - History |
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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 indexes. |
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Nota di contenuto |
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COVER; CONTENTS; ACKNOWLEDGEMENTS; ABOUT THE AUTHOR; INTRODUCTION "I don't know why it affects me this much"; CHAPTER ONE "A traumatised people"?; CHAPTER TWO "A profound sense of loss"; CHAPTER THREE The broken contract; CHAPTER FOUR "It's all very frightening"; CHAPTER FIVE Guilt-or shame?; CHAPTER SIX "So conflicted"; CHAPTER SEVEN Held captive?; POSTSCRIPT; NOTES; BIBLIOGRAPHY; REFERENCES; LIST OF RADIO PROGRAMMES, TELEVISION PROGRAMMES, AND FILMS CITED; INDEX |
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Sommario/riassunto |
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2015 was the seventieth anniversary of the end of World War Two, and, for Jews, the seventieth anniversary of the end of the worst Jewish catastrophe in diaspora history. After Genocide considers how, more than two generations since the war, the events of the Holocaust continue to haunt Jewish people and the worldwide Jewish population, even where there was no immediate family connection. Drawing from interviews with "ordinary" Jews from across the age spectrum, After Genocide focuses on the complex psychological legacy of the Holocaust. Is it, as many think, a "collective trauma"? How is a |
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community detached in space and time traumatised by an event which neither they nor their immediate ancestors experienced?"Ordinary" Jews' own words bring to life a narrative which looks at how commonly-recognised attributes of trauma - loss, anger, fear, guilt, shame - are integral to Jewish reactions to the Holocaust. |
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2. |
Record Nr. |
UNINA9910983384903321 |
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Autore |
Mangrulkar Ramchandra S |
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Titolo |
Predictive Analytics with SAS and R : Core Concepts, Tools, and Implementation / / by Ramchandra S Mangrulkar, Pallavi Vijay Chavan |
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Pubbl/distr/stampa |
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Berkeley, CA : , : Apress : , : Imprint : Apress, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (175 pages) |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Predictive analytics |
SAS (Computer program language) |
R (Computer program language) |
Artificial intelligence |
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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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Chapter 1 Introduction to Analytics -- Chapter 2 Simple Linear Regression -- Chapter 3 Multiple Linear Regression -- Chapter 4 Multivariate Analysis and Prediction -- Chapter 5 Time Series Analysis. |
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Sommario/riassunto |
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Gain practical knowledge of application implementation using various programming approaches in predictive analytics. This book serves as a comprehensive guide for both beginners and professionals in the field of predictive analytics, offering core principles and practical insights without requiring an extensive mathematics or statistics background. The book starts with an introduction to analytics in decision making, protective analytics basics, and implementation in various industries. The book then takes you through types of regression, and simple linear regression in detail, followed by a demonstration of R Studio and SAS. Multiple Linear Regression is discussed next along with MLR model |
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diagnostics. The book covers Multivariate Analysis and teaches you how to work with Principal Components Analysis, Factor Analysis, and much more. You also learn Time series Analysis with an understanding of Autoregressive Moving Average (ARMA) Models. After reading the book, you will be able to put predictive analytics principles into practice. What You Will Learn Understand modeling, estimating, and evaluating models for forecasting Implement Partial F-Test and Variable Selection Method Demonstrate each analysis model in R Studio and SAS Understand SLR and MLR Analysis models . |
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