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1. |
Record Nr. |
UNISA990001906070203316 |
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Autore |
SCHLEGEL, Friedrich |
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Titolo |
14.2 : Vorlesungen uber Universalgeschichte : (1805-1806) / Friedrich Schlegel ; mit Einleitung und Kommentar herausgegeben von Jean-Jacques Anstett |
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Pubbl/distr/stampa |
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Padenborn : Schoningh, 1960 |
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Descrizione fisica |
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Disciplina |
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Collocazione |
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II.1.D. 3616/14(II t A 194/14) |
II.1.D. 3616/14a(II t A 194/14 bis) |
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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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Nella pagina contro il front.: 2. Abt.: Schriften aus dem Nachlass |
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2. |
Record Nr. |
UNINA9910781326903321 |
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Titolo |
American history now [[electronic resource] /] / edited for the American Historical Association by Eric Foner and Lisa McGirr |
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Pubbl/distr/stampa |
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Philadelphia, : Temple University Press, c2011 |
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ISBN |
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9786613196323 |
1-283-19632-8 |
1-4399-0245-3 |
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Descrizione fisica |
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1 online resource (439 p.) |
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Collana |
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Critical perspectives on the past |
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Altri autori (Persone) |
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FonerEric |
McGirrLisa <1962-> |
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Disciplina |
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Soggetti |
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History |
United States Historiography |
United States 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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Rev. ed. of: The new American history. Philadelphia : Temple University Press, 1997. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Contents; Volume Editors' Preface; Series Editor's Preface; Part I: Eras of the American Past; 1. Squaring the Circles: The Reach of Colonial America; 2. American Revolution and Early Republic; 3. Jacksonian America; 4. Slavery, the Civil War, and Reconstruction; 5. The Possibilities of Politics: Democracy in America, 1877 to 1917; 6. The Interwar Years; 7. The Uncertain Future of American Politics, 1940 to 1973; 8. 1973 to the Present; Part II: Major Themesin the American Experience; 9. The United States in the World; 10. The "Cultural Turn"; 11. American Religion |
12. Frontiers, Borderlands, Wests13. Environmental History; 14. History of American Capitalism; 15. Women's and Gender History; 16. Immigration and Ethnic History; 17. American Indians and the Study of U.S. History; 18 African-American History; Contributors |
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Sommario/riassunto |
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American History Now collects eighteen original historiographic essays that survey recent scholarship in American history and trace the shifting lines of interpretation and debate in the field. Building on the legacy of two previous editions of The New American History, this |
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volume presents an entirely new group of contributors and a reconceptualized table of contents. The new generation of historians showcased in American History Now have asked new questions and developed new approaches to scholarship to revise the prevailing interpretations of the chronological periods from the Colonial era to the Reagan years. Covering the established subfields of women's history, African American history, and immigration history, the book also considers the history of capitalism, Native American history, environmental history, religious history, cultural history, and the history of "the United States in the world. "American History Now provides an indispensible summation of the state of the field for those interested in the study and teaching of the American past. |
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3. |
Record Nr. |
UNINA9910720061803321 |
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Autore |
Blaine Bruce |
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Titolo |
Introductory Applied Statistics : With Resampling Methods & R / / by Bruce Blaine |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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9783031277412 |
9783031277405 |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (197 pages) |
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Collana |
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Mathematics and Statistics Series |
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Disciplina |
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Soggetti |
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Quantitative research |
Statistics |
Mathematical statistics - Data processing |
Data Analysis and Big Data |
Applied Statistics |
Statistics and Computing |
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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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1. Foundations I: Introductory Data Analysis with R -- 2. Data Analysis in Bivariate Data: Foundations -- 3. Statistics and Data Analysis in an |
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ANOVA Model -- 4. Statistics and Data Analysis in a Proportions Model -- 5. Statistics and Data Analysis in a Regression Model -- 6. Statistics and Data Analysis in a Logistic Model -- 7. Statistical Inference I: Randomization Methods for Hypothesis Testing -- 8. Statistical Inference II: Bootstrapping Methods for Parameter Estimation -- 9. Using Resampling Methods for Statistical Inference: Four Examples -- 10. Statistics and Data Analysis in a Pre-Post Design. . |
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Sommario/riassunto |
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This book offers an introduction to applied statistics through data analysis, integrating statistical computing methods. It covers robust and non-robust descriptive statistics used in each of four bivariate statistical models that are commonly used in research: ANOVA, proportions, regression, and logistic. The text teaches statistical inference principles using resampling methods (such as randomization and bootstrapping), covering methods for hypothesis testing and parameter estimation. These methods are applied to each statistical model introduced in preceding chapters. Data analytic examples are used to teach statistical concepts throughout, and students are introduced to the R packages and functions required for basic data analysis in each of the four models. The text also includes introductory guidance to the fundamentals of data wrangling, as well as examples of write-ups so that students can learn how to communicate findings. Each chapter includes problems forpractice or assessment. Supplemental instructional videos are also available as an additional aid to instructors, or as a general resource to students. This book is intended for an introductory or basic statistics course with an applied focus, or an introductory analytics course, at the undergraduate level in a two-year or four-year institution. This can be used for students with a variety of disciplinary backgrounds, from business, to the social sciences, to medicine. No sophisticated mathematical background is required. |
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