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1. |
Record Nr. |
UNINA9910453675403321 |
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Autore |
Wierzbicki James Eugene |
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Titolo |
Film music [[electronic resource] ] : a history / / James Wierzbicki |
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Pubbl/distr/stampa |
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New York, : Routledge, 2009 |
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ISBN |
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1-135-85143-3 |
1-281-90100-8 |
9786611901004 |
0-203-88447-7 |
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Descrizione fisica |
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1 online resource (329 p.) |
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Disciplina |
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Soggetti |
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Motion picture music - History and criticism |
Motion pictures and music |
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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BOOK COVER; TITLE; COPYRIGHT; CONTENTS; LIST OF ILLUSTRATIONS; PREFACE; ACKNOWLEDGMENTS; 1 INTRODUCTION; Part 1 MUSIC AND THE "SILENT" FILM (1894-1927); 2 ORIGINS, 1894-1905; 3 THE NICKELODEON, 1905-15; 4 FEATURE FILMS, 1915-27; Part 2 MUSIC AND THE EARLY SOUND FILM (1894-1933); 5 THE LONG ADVENT OF SOUND, 1894-1926; 6 VITAPHONE AND MOVIETONE, 1926-8; 7 HOLLYWOOD'S EARLY SOUND FILMS, 1928-33; Part 3 MUSIC IN THE "CLASSICAL-STYLE" HOLLYWOOD FILM (1933-60); 8 THE "GOLDEN AGE" OF FILM MUSIC, 1933-49; 9 POSTWAR INNOVATIONS AND THE STRUGGLE FOR SURVIVAL, 1949-58 |
Part 4 FILM MUSIC IN THE POST-CLASSIC PERIOD (1958-2008)10 A "NEW WAVE" OF FILM MUSIC, 1958-78; 11 ECLECTICISM, 1978-2001; 12 EPILOGUE, 2001-8; NOTES; BIBLIOGRAPHY; INDEX |
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Sommario/riassunto |
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Film Music: A History explains the development of film music by considering large-scale aesthetic trends and structural developments alongside socioeconomic, technological, cultural, and philosophical circumstances. The book's four large parts are given over to Music and the ""Silent"" Film (1894?1927), Music and the Early Sound Film (1895? |
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1933), Music in the ""Classical-Style"" Hollywood Film (1933?1960), and Film Music in the Post-Classic Period (1958?2008). Whereas most treatments of the subject are simply chronicles of ""great film scores"" and their composers, this book offers a genuine h |
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2. |
Record Nr. |
UNINA9910796569703321 |
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Autore |
De Winter Patricia <1968-> |
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Titolo |
Starting out in Statistics [[electronic resource] ] : An Introduction for Students of Human Health, Disease, and Psychology |
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Pubbl/distr/stampa |
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ISBN |
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Descrizione fisica |
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1 online resource (312 p.) |
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Collana |
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New York Academy of Sciences |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Medical statistics -- Textbooks |
Medical statistics |
Health Care Evaluation Mechanisms |
Medicine |
Methods |
Mathematics |
Research |
Epidemiologic Methods |
Environment and Public Health |
Health |
Investigative Techniques |
Natural Science Disciplines |
Science |
Population Characteristics |
Quality of Health Care |
Health Occupations |
Health Care |
Health Care Quality, Access, and Evaluation |
Public Health |
Statistics as Topic |
Research Design |
Health & Biological Sciences |
Medical 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 contenuto |
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Starting Out in Statistics; Contents; Introduction - What's the Point of Statistics?; Reference; Basic Maths for Stats Revision; Statistical Software Packages; About the Companion Website; 1 Introducing Variables, Populations and Samples - 'Variability is the Law of Life'; 1.1 Aims; 1.2 Biological data vary; 1.3 Variables; 1.4 Types of qualitative variables; 1.4.1 Nominal variables; 1.4.2 Multiple response variables; 1.4.3 Preference variables; 1.5 Types of quantitative variables; 1.5.1 Discrete variables; 1.5.2 Continuous variables; 1.5.3 Ordinal variables - a moot point |
1.6 Samples and populations1.7 Summary; Reference; 2 Study Design and Sampling - 'Design is Everything. Everything!'; 2.1 Aims; 2.2 Introduction; 2.3 One sample; 2.4 Related samples; 2.5 Independent samples; 2.6 Factorial designs; 2.7 Observational study designs; 2.7.1 Cross-sectional design; 2.7.2 Case-control design; 2.7.3 Longitudinal studies; 2.7.4 Surveys; 2.8 Sampling; 2.9 Reliability and validity; 2.10 Summary; References; 3 Probability - 'Probability ... So True in General'; 3.1 Aims; 3.2 What is probability?; 3.3 Frequentist probability; 3.4 Bayesian probability |
3.5 The likelihood approach3.6 Summary; References; 4 Summarising Data - 'Transforming Data into Information'; 4.1 Aims; 4.2 Why summarise?; 4.3 Summarising data numerically - descriptive statistics; 4.3.1 Measures of central location; 4.3.2 Measures of dispersion; 4.4 Summarising data graphically; 4.5 Graphs for summarising group data; 4.5.1 The bar graph; 4.5.2 The error plot; 4.5.3 The box-and-whisker plot; 4.5.4 Comparison of graphs for group data; 4.5.5 A little discussion on error bars; 4.6 Graphs for displaying relationships between variables; 4.6.1 The scatter diagram or plot |
4.6.2 The line graph4.7 Displaying complex (multidimensional) data; 4.8 Displaying proportions or percentages; 4.8.1 The pie chart; 4.8.2 Tabulation; 4.9 Summary; References; 5 Statistical Power - '. . . Find out the Cause of this Effect'; 5.1 Aims; 5.2 Power; 5.3 From doormats to aortic valves; 5.4 More on the normal distribution; 5.4.1 The central limit theorem; 5.5 How is power useful?; 5.5.1 Calculating the power; 5.5.2 Calculating the sample size; 5.6 The problem with p values; 5.7 Confidence intervals and power; 5.8 When to stop collecting data |
5.9 Likelihood versus null hypothesis testing5.10 Summary; References; 6 Comparing Groups using t-Tests and ANOVA - 'To Compare is not to Prove'; 6.1 Aims; 6.2 Are men taller than women?; 6.3 The central limit theorem revisited; 6.4 Student's t-test; 6.4.1 Calculation of the pooled standard deviation; 6.4.2 Calculation of the t statistic; 6.4.3 Tables and tails; 6.5 Assumptions of the t-test; 6.6 Dependent t-test; 6.7 What type of data can be tested using t-tests?; 6.8 Data transformations; 6.9 Proof is not the answer; 6.10 The problem of multiple testing |
6.11 Comparing multiple means - the principles of analysis of variance |
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Sommario/riassunto |
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To form a strong grounding in human-related sciences it is essential for students to grasp the fundamental concepts of statistical analysis, rather than simply learning to use statistical software. Although the software is useful, it does not arm a student with the skills necessary to formulate the experimental design and analysis of a research project in later years of study or indeed, if working in research. This textbook deftly covers a topic that many students find difficult. With an engaging |
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and accessible style it provides the necessary background and tools for students to use statist |
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